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>>> Nuclear's Moment - Securing US AI Supremacy
Zacks
by Andrew Rocco
July 14, 2025
https://finance.yahoo.com/news/nuclears-moment-securing-us-ai-220400974.html
The Unquenchable Need for AI Energy
According to the World Economic Forum, AI’s computational power needs are soaring, doubling roughly every 100 days. Data center power was just 88 gigawatts in 2022. However, thanks to the buildout of massive data centers (used to train large language models like ‘ChatGPT’) by big tech juggernauts like Alphabet (GOOGL), Microsoft (MSFT) and Meta Platforms (META) that number is expected to increase to more than 300 GW by the end of the decade.
China Vs. US: The Battle for AI Supremacy
It’s no secret to investors that the United States and China have the most significant economic and defense rivalry globally. Each year, the rivalry intensifies, and the AI revolution will only escalate the stakes. Artificial Intelligence is such a groundbreaking technology that whichever country wins the AI race, likely wins the race for superior defense, a robust economy, and global domination.
In past cycles, America’s free market capitalist system has proven to be the best framework for producing technology and new innovations. The US dominated the internet boom, software, and several other industries. While most Wall Street analysts agree that the US is off to an early and slight lead in the AI race, China is hot on their heels. In addition, one critical element threatens the United States’ AI supremacy: energy.
China Dominates Energy Production
Last year, China generated more than 10k terawatt-hours (TWh) of electricity, dominating the US. China currently produces more than the combined output of the US, EU, and India. Meanwhile, China isn’t slowing down its production and continues to produce energy at a blistering pace, with forward projections suggesting that China will produce the equivalent of the US power grid each year!
The Big Beautiful Bill Will Spur Nuclear Demand
The massive and multi-faceted ‘Big Beautiful Bill’ was recently signed into law by President Trump. Nuclear will benefit dramatically from the bill for two reasons:
· US Debt will Soar: The Congressional Budget Office estimates that the BBB will add $3.4 trillion to the US deficit over the next decade. With the deficit set to soar, the US will have no choice but to fully embrace AI and “grow the country out of debt.” (More on that later)
Solar Subsidies will be Removed: The loss of solar subsidies in the BBB will lead to a natural market force toward cheap and clean nuclear power.
US Seeks to Remove Nuclear Red Tape
US Energy Secretary Chris Wright sent nuclear-related stocks soaring Monday after he posted to social media a message that read:
“Let’s talk nuclear energy: the energy-dense, always-ON energy source that we’ve smothered for decades with regulatory red tape. Under the Trump administration, you’re going to truly see the launch of the nuclear renaissance. The coming years will be HUGE.”
Several uranium, energy storage, and nuclear-related stocks spiked on heavy trading volume after the news, including Cameco (CCJ), Centrus Energy (LEU), NuScale Power (SMR), and Eos Energy Enterprises (EOSE). In addition, Oklo (OKLO), a small modular reactor company where Chris Wright once sat on the board of directors, continued its breathtaking multi-month advance and broke out of a powerful bull flag chart pattern.
Bottom Line
The race for AI supremacy is intrinsically linked to energy production capabilities. If the US wants to win the AI race, it will have to embrace nuclear in a big way.
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>>> Elon Musk's xAI buys 1 million sq ft site for second Memphis data center
Spends $80m on three land parcels
DCD
March 10, 2025
by Matthew Gooding
https://www.datacenterdynamics.com/en/news/elon-musks-xai-buys-one-million-sq-ft-site-for-second-memphis-data-center/
xAI has bought a 1 million sq ft (92,905 sqm) site for a new data center in Memphis, as Elon Musk’s startup looks to expand its Colossus supercomputer.
Announced by the Memphis Chamber of Commerce on Friday, the land in the Whitehaven area of the city cost xAI $80 million, according to property records.
The company has purchased three parcels of land at 5400 Tulane Road, Whitehaven, through an affiliate company CTC Properties. It acquired an existing warehouse, as well as two adjacent sites totaling 100 acres.
It is close to the Southaven Combined Cycle natural gas power plant owned by Tennessee Valley Authority, which generates 780MW of power.
“xAI’s acquisition of this property ensures we’ll remain at the forefront of AI innovation, right here in Memphis,” said xAI’s Brent Mayo. “We’re committed to expanding alongside this community and doing what’s best for the city. As we transform this property and enhance our facility, we’ll bring more employment opportunities and economic growth to the area.”
How the data center will be powered has yet to be decided, but in comments to the Daily Memphian, local energy company Memphis Light Gas and Water said xAI had requested a “system-impact study” for up to 260MW of power.
The data center will be home to what has been described as the “world’s largest” deployment of Tesla megapack batteries, which will provide backup power to the site when the grid load is high.
Mayo added that the new data center could host up to 350,000 GPUs.
xAI came to Memphis last year, launching its Colossus supercomputer in a new data center housed in a former Electrolux factory in Memphis’s Boxtown district.
This data center reportedly runs 100,000 GPUs, but Musk said in October 2024 plans are afoot to increase this to 200,000, and the company revealed in December it would eventually like to run one million GPUs in Memphis. DCD reported last month that the company could open a second data center, and is in talks with Dell over a $5 billion order for new servers.
The company’s investments in Memphis include a plan to build what it claims will be the world’s largest ceramic membrane bioreactor, so that it can use wastewater to cool Colossus.
However, xAI has faced opposition from some community groups concerned about the data center’s impact on air quality and the strain it could put on the local power grid.
Ted Townsend, president and CEO of the Greater Memphis Chamber, said: “This significant expansion by xAI reinforces Memphis’s position as a premier destination for technological innovation.
“Their investment in this million-square-foot facility, along with xAI’s collaborative partnership, demonstrates the tremendous momentum we’re building in the Digital Delta. Memphis continues to prove itself as the ideal location for companies leading the future of technology.”
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Data Centers - >>> 'I can't drink the water' - life next to a US data centre
BBC News
by Michelle Fleury & Nathalie Jimenez
July 10, 2025
https://www.yahoo.com/news/cant-drink-water-life-next-230838357.html
'I can't drink the water' - life next to a US data centre
When Beverly Morris retired in 2016, she thought she had found her dream home - a peaceful stretch of rural Georgia, surrounded by trees and quiet.
Today, it's anything but.
Just 400 yards (366m) from her front porch in Mansfield, Georgia, sits a large, windowless building filled with servers, cables, and blinking lights.
It's a data centre - one of many popping up across small-town America, and around the globe, to power everything from online banking to artificial intelligence tools like ChatGPT.
"I can't live in my home with half of my home functioning and no water," Ms Morris says. "I can't drink the water."
She believes the construction of the centre, which is owned by Meta (the parent company of Facebook), disrupted her private well, causing an excessive build-up of sediment. Ms Morris now hauls water in buckets to flush her toilet.
She says she had to fix the plumbing in her kitchen to restore water pressure. But the water that comes of the tap still has residue in it.
"I'm afraid to drink the water, but I still cook with it, and brush my teeth with it," says Morris. "Am I worried about it? Yes."
Meta, however, says the two aren't connected.
In a statement to the BBC, Meta said that "being a good neighbour is a priority".
The company commissioned an independent groundwater study to investigate Morris's concerns. According to the report, its data centre operation did "not adversely affect groundwater conditions in the area".
While Meta disputes that it has caused the problems with Ms Morris' water, there's no doubt, in her estimation, that the company has worn out its welcome as her neighbour.
"This was my perfect spot," she says. "But it isn't anymore."
We tend to think of the cloud as something invisible - floating above us in the digital ether. But the reality is very physical.
The cloud lives in over 10,000 data centres around the world, most of them located in the US, followed by the UK and Germany.
With AI now driving a surge in online activity, that number is growing fast. And with them, more complaints from nearby residents.
The US boom is being challenged by a rise in local activism - with $64bn (£47bn) in projects delayed or blocked nationwide, according to a report from pressure group Data Center Watch.
And the concerns aren't just about construction. It's also about water usage. Keeping those servers cool requires a lot of water.
"These are very hot processors," Mark Mills of the National Center for Energy Analytics testified before Congress back in April. "It takes a lot of water to cool them down."
Many centres use evaporative cooling systems, where water absorbs heat and evaporates - similar to how sweat wicks away heat from our bodies. On hot days, a single facility can use millions of gallons.
One study estimates that AI-driven data centres could consume 1.7 trillion gallons of water globally by 2027.
Business Daily: The impact of 'thirsty' data centres
Few places illustrate this tension more clearly than Georgia - one of the fastest-growing data centre markets in the US.
Its humid climate provides a natural and more cost-effective source of water for cooling data centres, making it attractive to developers. But that abundance may come at a cost.
Gordon Rogers is the executive director of Flint Riverkeeper, a non-profit advocacy group that monitors the health of Georgia's Flint River. He takes us to a creek downhill from a new construction site for a data centre being built by US firm Quality Technology Services (QTS).
George Dietz, a local volunteer, scoops up a sample of the water into a clear plastic bag. It's cloudy and brown.
"It shouldn't be that colour," he says. To him, this suggests sediment runoff - and possibly flocculants. These are chemicals used in construction to bind soil and prevent erosion, but if they escape into the water system, they can create sludge.
QTS says its data centres meet high environmental standards and bring millions in local tax revenue.
While construction is often carried out by third-party contractors, local residents are the ones left to deal with the consequences.
"They shouldn't be doing it," Mr Rogers says. "A larger wealthier property owner does not have more property rights than a smaller, less wealthy property owner."
Tech giants say they are aware of the issues and are taking action.
"Our goal is that by 2030, we'll be putting more water back into the watersheds and communities where we're operating data centres, than we're taking out," says Will Hewes, global water stewardship lead at Amazon Web Services (AWS), which runs more data centres than any other company globally.
He says AWS is investing in projects like leak repairs, rainwater harvesting, and using treated wastewater for cooling. In Virginia, the company is working with farmers to reduce nutrient pollution in Chesapeake Bay, the largest estuary in the US.
In South Africa and India - where AWS doesn't use water for cooling - the company is still investing in water access and quality initiatives.
In the Americas, Mr Hewes says, water is only used on about 10% of the hottest days each year.
Still, the numbers add up. A single AI query - for example, a request to ChatGPT - can use about as much water as a small bottle you'd buy from the corner shop. Multiply that by billions of queries a day, and the scale becomes clear.
Prof Rajiv Garg teaches cloud computing at Emory University in Atlanta. He says these data centres aren't going away - if anything, they're becoming the backbone of modern life.
"There's no turning back," Prof Garg says.
But there is a path forward. The key, he argues, is long-term thinking: smarter cooling systems, rainwater harvesting, and more efficient infrastructure.
In the short term, data centres will create "a huge strain", he admits. But the industry is starting to shift toward sustainability.
And yet, that's little consolation to homeowners like Beverly Morris - stuck between yesterday's dream and tomorrow's infrastructure.
Data centres have become more than just an industry trend - they're now part of national policy. President Donald Trump recently vowed to build the largest AI infrastructure project in history, calling it "a future powered by American data".
Back in Georgia, the sun beats down through thick humidity - a reminder of why the state is so attractive to data centre developers.
For locals, the future of tech is already here. And it's loud, thirsty, and sometimes hard to live next to.
As AI grows, the challenge is clear: how to power tomorrow's digital world without draining the most basic resource of all - water.
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>>> Nvidia is again Wall Street's most valuable company. How it got there, by the numbers
Associated Press
July 9, 2025
https://finance.yahoo.com/news/nvidia-again-wall-streets-most-155055911.html
Nvidia reached another milestone in its rise to becoming one of the world's most important companies: the first publicly traded company to reach a market value of $4 trillion.
Nvidia and other companies benefiting from the boom in artificial intelligence have been a major reason the S&P 500 has recently climbed to a record. Their explosion of profits has helped to propel the market despite worries about possible pain coming for the U.S. economy from tariffs and other policies of President Donald Trump.
The company’s journey to be one of the world's most prominent companies has produced some eye-popping numbers. Here’s a look.
$4.009 trillion
Nvidia’s total market value as of early Wednesday, tops in the S&P 500. It took over the No. 1 spot from Microsoft ($3.755 trillion) two weeks ago. Apple is the only other company with a market value above $3 trillion ($3.135 trillion). Two years ago, Nvidia’s market value in July 2023 was around $1.050 trillion.
1,000%
The approximate gain in Nvidia’s stock price since the start of 2023. A $100,000 investment in Nvidia two and a half years ago would now be worth more than $1,100,000. The shares are up about 22% so far this year.
$45 billion
Nvidia’s estimate for overall revenue in the May-July quarter, roughly in line with Wall Street estimates.
$8 billion
The estimated loss in sales for the quarter due to the U.S. government’s restrictions on Nvidia's chip sales to China.
$200 billion
Analysts’ estimate for Nvidia’s revenue for the fiscal year that ends in January 2026, according to FactSet. That would be more than 50% above its revenue for fiscal 2025 and more than three times its receipts from the year before that. By comparison, Microsoft's revenue for its fiscal year ended in June is estimated by analysts at $279 billion.
4 billion
The number of the latest iPhones one could buy with Nvidia’s $4 trillion market cap.
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Rickards - >>> Superintelligence Will Never Arrive
By James Rickards
July 3, 2025
https://dailyreckoning.com/superintelligence-will-never-arrive/
Superintelligence Will Never Arrive
Readers know at least two things about artificial intelligence (AI). The first is that an AI frenzy has been driving the stock market higher for the past three years even with occasional drawdowns along the way. The second is that AI is a revolutionary technology that will change the world and potentially eliminate numerous jobs, including jobs requiring training and technical skills.
Both points are correct with numerous caveats. AI has been driving the stock market to record highs, but the market has the look and feel of a super-bubble. The crash could come anytime and bring the market down by 50% or more.
That’s not a reason to short the major stock indices today. The bubble can last longer than anyone expects. If you short the indices, you can lose a lot of money being wrong. But it is advisable to lighten up on equity allocations and increase your allocation to cash in order to avoid the worst damage when the crash does come.
On the second point, AI will make some jobs obsolete or easily replaceable. Of course, as with any new technology, it will create new jobs requiring different skills. Teachers will not become obsolete. They’ll shift from teaching the basics of math and reading, which AI does quite well, to teaching critical thinking and reasoning, which computers do poorly or not at all. Changes will be pervasive, but they will still be changes and not chaos.
The Limitations
Artificial Intelligence is a powerful force, but there’s much less there than meets the eye. AI may be confronting material constraints in terms of processing power, training sets and electricity generation. Semiconductor chips keep getting faster and new ones are on the way. But these chips consume enormous amounts of energy, especially when installed in huge arrays in new AI data centers. Advocates are turning to nuclear power plants, including small modular reactors to supply the energy needs of AI. This demand is non-linear, which means that exponentially larger energy sources are needed to make small advances in processing output. AI is fast approaching practical limits on its ability to achieve greater performance.
This near insatiable demand for energy means that the AI race is really an energy race. This could make the U.S. and Russia the two dominant players (sound familiar?) as China depends on Russia for energy and Europe depends on the U.S. and Russia. Sanctions on Russian energy exports can actually help Russia in the AI race because natural gas can be stored and used in Russia to support AI and cryptocurrency mining. It’s the law of unintended consequences applied to the short-sighted Europeans and the resource-poor Chinese.
Your Editor touring the HiPerGator AI computer located at the University of Florida in Gainesville, Florida. The HiPerGator is the third-fastest non-government computer in the world. It runs on NVIDIA semiconductors generously donated by an alum who is the co-founder of NVIDIA. I use the HiPerGator in connection with my work for the Florida Institute of National Security, which uses AI to explore kinetic and financial war fighting scenarios. I have built extensive neural networks that will be running on the HiPerGator.
AI Lacks Common Sense
Another limitation on AI, which is not well known, is the Law of Conservation of Information in Search. This law is backed up by rigorous mathematical proofs. What it says is that AI cannot find any new information. It can find things faster and it can make connections that humans might find almost impossible to make. That’s valuable. But AI cannot find anything new. It can only seek out and find information that is already there for the taking. New knowledge comes from humans in the form of creativity, art, writing and original work. Computers cannot perform genuinely creative tasks. That should give humans some comfort that they will never be obsolete.
A further problem in AI is dilution and degradation of training sets as more training set content consists of AI output from prior processing. AI is prone to errors, hallucinations (better called confabulations) and inferences that have no basis in fact. That’s bad enough. But when that output enters the training set (basically every page in the internet), the quality of the training set degrades, and future output degrades in sync. There’s no good solution to this except careful curation. If you have to be a subject matter expert to curate training sets and then evaluate output, this greatly diminishes the value-added role of AI.
Computers also lack empathy, sympathy and common sense. They process but they do not really think like humans. In fact, AI does not think at all; it’s just math. In one recent experiment, an AI computer was entered into a competition with a group of 3- to-7-year-olds. The challenge was to draw a circle with the tools at hand. Those tools were a ruler, a teapot and a third irrelevant object such as a stove. The computer reasoned that a ruler was a drafting instrument like a compass and tried to draw a circle with a ruler. It failed. The children saw that the bottom of a teapot was a circle and simply traced the teapot to draw perfect circles. The AI system used associative logic. The children used common sense. The children won. That result will not vary in future contests because common sense (technically abductive logic) cannot be programmed.
High-flying AI companies are quickly finding that their systems can be outperformed by newer systems that simply use big ticket AI output as a baseline training set. This is a shortcut to high performance at a small fraction of the cost. The establishment AI companies like Microsoft and Google call this theft of IP, but it’s no worse than those giants using existing IP (including my books, by the way) without paying royalties. It may be a form of piracy, but it’s easy to do and almost impossible to stop. This does not mean the end of AI. It means the end of sky-high profit projections for AI. The return on the hundreds of billions of dollars being spent by the AI giants may be meager.
Sam Altman: Innovator or Salesman?
The best-known figure in the world of AI is Sam Altman. He’s the head of OpenAI, which launched the ChatGPT app a few years ago. AI began in the 1950s, seemed to hit a wall from a development perspective in the 1980s (a period known as the AI Winter), was largely dormant in the 1990s and early 2000s, then suddenly came alive again in the past ten years. ChatGPT was the most downloaded app in history over its first few months and has hundreds of millions of users today.
Altman was pushed out by the board of OpenAI last year because the company was intended as a non-profit entity that was developing AI for the good of mankind. Altman wanted to turn it into a for-profit entity as a prelude to a multi-hundred-billion-dollar IPO. When the top engineers threatened to quit and follow Altman to a new venture, the board quickly reversed course and brought Altman back into the company, although the exact legal structure remains under discussion.
Meanwhile, Altman has charged full speed ahead with his claims about superintelligence (also known as advanced general intelligence (AGI) with the key word being “general,” which means the system can think like humans, only better). One way to understand superintelligence is the metaphor that humans will be to the computer as apes are to humans. We’ll be considered smart, but not smarter than our machine masters. Altman said that “in some ways ChatGPT is already more powerful than any human who ever lived.” He also said he expects AI machines “to do real cognitive work” by 2025 and will create “novel insights” by 2026.
This is all nonsense for several reasons. The first as noted above is that training sets (the materials studied by large language models) are becoming polluted with the output from prior AI models so that the machines are getting dumber not smarter. The second is the Law of Conservation of Information in Search I also described above. This law (supported by applied mathematics) says that computers may be able to find information faster than humans, but they cannot find any information that does not already exist. In other words, the machines are not really thinking and are not really creative. They just connect dots faster than we do.
A new paper from Apple concludes, “Through extensive experimentation across diverse puzzles, we show that frontier LRMs [Large Reasoning Models] face a complete accuracy collapse beyond certain complexities. Moreover, they exhibit a counter-intuitive scaling limit: their reasoning effort increases with problem complexity up to a point, then declines despite having an adequate token budget.” This and other evidence point to AI reaching limits of logic that brute force computing power cannot overcome.
Finally, no developer has ever been able to code abductive logic; really common sense or gut instinct. That’s one of the most powerful reasoning tools humans possess. In short, superintelligence will never arrive. More and more, Altman looks like just another Silicon Valley salesman pitching the next big thing with not much behind it.
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$MNMD MindMed Using AI and LLMs to Study HAM-A Scores of LSD Phase 3 Trials
>>> SoundHound AI, Inc. (SOUN) develops independent voice artificial intelligence (AI) solutions that enables businesses across automotive, TV, and IoT, and to customer service industries to deliver high-quality conversational experiences to their customers in the United States, Korea, France, Japan, Germany, and internationally. Its products include Houndify platform that offers a suite of Houndify tools to help brands build conversational voice assistants, such as Application Programming Interfaces (API) for text and voice queries, support for custom commands, extensive library of content domains, inclusive software development kit platforms, collaboration capabilities, diagnostic tools, and built-in analytics; SoundHound Chat AI that integrates with knowledge domains, pulling real-time data like weather, sports, stocks, flight status, and restaurants; and SoundHound Smart Answering is built to offer customer establishments custom AI-powered voice assistant. The company's products also include CaiNET software that uses machine learning to enhance how domains work together to handle queries; CaiLAN software that arbitrates responses, so users get answers from the right domain; Dynamic Interaction a real-time, multimodal customer service interface; Smart Ordering which offers an easy-to-understand voice assistant for restaurants; automatic speech recognition; natural language understanding; wake words; custom domains; text-to-speech; Employee Assist; and embedded voice solutions. The company was founded in 2005 and is headquartered in Santa Clara, California.
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https://finance.yahoo.com/quote/SOUN/profile/
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>>> Meta's nuclear deal signals AI's growing energy needs
AP
by MATT O'BRIEN
6-3-25
https://www.msn.com/en-us/money/other/metas-nuclear-deal-signals-ais-growing-energy-needs/ar-AA1G1isa?ocid=TobArticle
Meta's deal to help revive an Illinois nuclear power plant was one way of signaling that the parent company of Facebook and Instagram is preparing for a future built with artificial intelligence.
Meta's 20-year deal with Constellation Energy follows similar maneuvers from Amazon, Google and Microsoft, but it will take years before nuclear energy can meet the tech industry's insatiable demand for new sources of electricity.
AI uses vast amounts of energy, much of which comes from burning fossil fuels, which causes climate change. The unexpected popularity of generative AI products over the past few years has disrupted many tech companies' carefully laid plans to supply their technology with energy sources that don't contribute to climate change.
Even as Meta anticipates more nuclear in the future, its more immediate plans rely on natural gas. Entergy, one of the nation’s largest utility providers, has been fast-tracking plans to build gas-fired power plants in Louisiana to prepare for a massive Meta data center complex.
France has touted its ample nuclear power — which produces about 75% of the nation's electricity, the highest level in the world — as a key element in its pitch to be an AI leader. Hosting an AI summit in Paris earlier this year, French President Emmanuel Macron cited President Donald Trump’s “drill baby drill” slogan and offered another: “Here there’s no need to drill, it’s just plug baby plug.”
In the U.S., however, most of the electricity consumed by data centers relies on fossil fuels — burning natural gas and sometimes coal — according to an April report from the International Energy Agency. As AI demand rises, the main source of new supply over the coming years is expected to be from gas-fired plants, a cheap and reliable source of power but one that produces planet-warming emissions.
Renewable energy sources such as solar and wind account for about 24% of data center power in the U.S., while nuclear comprises about 15%, according to the IEA. It will take years before enough climate-friendlier power sources, including nuclear, could start slowing the expansion of fossil fuel power generation.
A report released by the U.S. Department of Energy late last year estimated that the electricity needed for data centers in the U.S. tripled over the past decade and is projected to double or triple again by 2028 when it could consume up to 12% of the nation’s electricity.
Why does AI need so much energy?
It takes a lot of computing power to make an AI chatbot and the systems they're built on, such as Meta's Llama. It starts with a process called training or pretraining — the “P” in ChatGPT — that involves AI systems “learning” from the patterns of huge troves of data. To do that, they need specialized computer chips — usually graphics processors, or GPUs — that can run many calculations at a time on a network of devices in communication with each other.
Once trained, a generative AI tool still needs electricity to do the work, such as when you ask a chatbot to compose a document or generate an image. That process is called inferencing. A trained AI model must take in new information and make inferences from what it already knows to produce a response.
All of that computing takes a lot of electricity and generates a lot of heat. To keep it cool enough to work properly, data centers need air conditioning. That can require even more electricity, so most data center operators look for other cooling techniques that usually involve pumping in water.
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>>> Navitas Semiconductor Corporation (NVTS) Launches 12kW PSU, Powers Next-Gen AI Data Centers
Insider Monkey
by Ghazal Ahmed
May 22, 2025
https://finance.yahoo.com/news/navitas-semiconductor-corporation-nvts-launches-033809297.html
We recently published a list of 10 AI Stocks Making Waves This Week. In this article, we are going to take a look at where Navitas Semiconductor Corporation (NASDAQ:NVTS) stands against other AI stocks that are making waves this week.
Navitas Semiconductor Corporation (NASDAQ:NVTS) is a small-cap chip designer. Its next-generation power solutions support energy-efficient AI data centers. On May 21, the pure-play, next-generation power semiconductor company announced its latest 12 kW power supply unit (PSU) for hyperscaler AI data centers. The PSU is designed for high-power rack densities of 120 kW and complies with Open Rack v3 (ORv3) specifications and Open Compute Project (OCP) guidelines. It is designed to ensure the highest efficiency and performance, along with the lowest component count. In simple words, Navitas’ new power supply unit is faster, safer, and more efficient. This makes it an ideal choice for powering the next generation of AI-driven data centers.
“The continuation and leadership of Navitas’ AI power roadmap has seen a quadrupling in output power – from 2.7 to 12 kW – in just over 24 months. This increase in power delivery is vital for the world’s data centers to support the exponential power demanded by the latest GPU architectures. The ‘designed for production’ PSU enables our customers to quickly implement a highly efficient, simple, and cost-effective solution to address the power delivery challenges for AI and hyperscale data centers.”
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>>> NVIDIA Selects Navitas to Collaborate on Next Generation 800V HVDC Architecture
by Navitas
May 21, 2025
https://navitassemi.com/nvidia-selects-navitas-to-collaborate-on-next-generation-800-v-hvdc-architecture/
Navitas’ GaN and SiC technologies have been selected to support Nvidia’s 800 V HVDC data center power infrastructure to support 1 MW IT racks and beyond.
TORRANCE, CA – May 21st, 2025 — Navitas Semiconductor (Nasdaq: NVTS), the industry leader in next-generation GaNFast™ gallium nitride (GaN) and GeneSiC™ silicon carbide (SiC) power semiconductors, today announced a collaboration with NVIDIA (Nasdaq: NVDA) on their next-generation 800 V HVDC architecture to support ‘Kyber’ rack-scale systems powering their GPUs, such as Rubin Ultra, enabled by GaNFast™ and GeneSiC™ power technologies.
NVIDIA’s next generation of 800V DC architecture aims to establish high-efficiency, scalable power delivery for next-generation AI workloads, to ensure greater reliability, efficiency, and reduced infrastructure complexity.
Today’s existing data center architecture uses traditional 54 V in-rack power distribution and is limited to a few hundred kilowatts (kW). Bulky copper busbars are required to transfer this low-voltage electricity from the rack-mounted power shelves to the compute trays. As power increases above 200 kW, this architecture runs into physical limits due to power density, copper requirements, and reduced system efficiency.
Modern AI data centers require gigawatts (GW) of power for the increasing demand for AI computation. Nvidia’s approach is to directly convert the 13.8 kV AC grid power to 800 V HVDC at the data center perimeter using solid state transformers (SST) and industrial-grade rectifiers, eliminating several AC/DC and DC/DC conversion steps, maximizing efficiency and reliability.
Due to the higher voltage level of 800 V HVDC, the thickness of copper wires can be reduced by up to 45%, due to I2R losses, where the same amount of power can be delivered with increased voltage and lower current. Using a traditional 54V DC system, over 200 kg of copper would be needed to power a 1MW rack, which is not sustainable for next-generation AI data centers with GW power demand.
The 800V HVDC directly powers the IT racks (eliminating the need for additional AC-DC converters) and is converted by DC-DC converters to lower voltages, which will drive GPUs, such as the Rubin Ultra.
Navitas is an established leader in AI data center solutions enabled by GaN and SiC technology. The high-power GaNSafe™ power ICs integrate control, drive, sensing, and critical protection features, enabling unprecedented reliability and robustness. GaNSafe is the world’s safest GaN with short-circuit protection (350ns max latency), 2kV ESD protection on all pins, elimination of negative gate drive, and programmable slew rate control. All these features are controlled with 4-pins, allowing the package to be treated like a discrete GaN FET, requiring no VCC pin.
Additionally, Navitas offers a family of medium voltage (80-120V) GaN devices, which have been optimized for secondary side DC-DC conversion, delivering high-speed, high efficiency, and small footprint, for AI data centers PSUs with outputs of 48V-54V.
Enabled by 20 years of SiC innovation leadership, GeneSiC proprietary ‘trench-assisted planar’ technology provides world-leading performance over temperature, delivering high-speed, cool-running operation for high-power, high-reliability applications. G3F SiC MOSFETs deliver high-efficiency with high-speed performance, enabling up to 25°C lower case temperature, and up to 3x longer life than SiC products from other vendors.
Offering the industry’s broadest voltage range – stretching from 650 V to ultra-high voltages of 2.3 kV to 6.5 kV, the SiC technology has been implemented in multiple projects for MW energy storage and grid-tied inverters with the Department of Energy (DoE).
Fig. 1. Navitas GaN and SiC technologies cover the complete power delivery from grid to the GPU.
In August 2023, Navitas introduced a high-speed, high-efficiency 3.2 kW CRPS, achieving a 40% smaller size than best-in-class, legacy silicon solutions for power-hungry AI and Edge computing. This was followed by the world’s highest power density 4.5 kW CRPS, achieving a ground-breaking 137 W/in3, and an efficiency of over 97%. In November 2024, Navitas released the world’s first 8.5 kW AI data center power supply, powered by GaN and SiC that could meet 98% efficiency, complying with the Open Compute Project (OCP) and Open Rack v3 (ORv3) specifications. Additionally, Navitas created IntelliWeave, an innovative patented new digital control technique, that when combined with high-power GaNSafe and Gen 3-Fast SiC MOSFETs, enables PFC peak efficiencies to 99.3% and reduces power losses by 30% compared to existing solutions. Alongside the Computex exhibition in Taiwan, the latest release of their 12 kW PSU was presented at the Navitas ‘AI Tech Night’ on 21st May.
“We are proud to be selected by NVIDIA to collaborate on their 800 HVDC architecture initiative. Our latest innovations in high-power GaN and SiC technologies have seen world firsts and have created new inflections into markets such as AI datacenters and electric vehicles”, said Gene Sheridan, CEO and co-founder of Navitas. “With our wide portfolio range, we can support NVIDIA’s 800V HVDC infrastructure, from grid to the GPU. We appreciate that NVIDIA recognizes our technology and commitment to driving the next generation of data center power delivery.”
NVIDIA’s 800V HVDC architecture will improve end-to-end power efficiency up to 5%, reduce maintenance costs by 70% (due to fewer PSU failures), and lower cooling costs by directly connecting HVDC to the IT and compute racks.
To read NVIDIA’s technical blog, please click here. For more information on Navitas’ AI roadmap, please visit here or contact us at info@navitassemi.com
About Navitas
Navitas Semiconductor (Nasdaq: NVTS) is the only pure-play, next-generation power-semiconductor company, celebrating 10 years of power innovation, founded in 2014. GaNFast™ power ICs integrate gallium nitride (GaN) power and drive, with control, sensing, and protection to enable faster charging, higher power density, and greater energy savings. Complementary GeneSiC™ power devices are optimized high-power, high-voltage, and high-reliability silicon carbide (SiC) solutions. Focus markets include AI data centers, EV, solar, energy storage, home appliance / industrial, mobile, and consumer. Over 300 Navitas patents are issued or pending, with the industry’s first and only 20-year GaNFast warranty. Navitas was the world’s first semiconductor company to be CarbonNeutral®-certified.
Navitas Semiconductor, GaNFast, GaNSense, GeneSiC, and the Navitas logo are trademarks or registered trademarks of Navitas Semiconductor Limited and affiliates. All other brands, product names, and marks are or may be trademarks or registered trademarks used to identify products or services of their respective owners.
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>>> Navitas Semiconductor Corporation (NVTS) Launches 12kW PSU, Powers Next-Gen AI Data Centers
Insider Monkey
by Ghazal Ahmed
May 22, 2025
https://finance.yahoo.com/news/navitas-semiconductor-corporation-nvts-launches-033809297.html
We recently published a list of 10 AI Stocks Making Waves This Week. In this article, we are going to take a look at where Navitas Semiconductor Corporation (NASDAQ:NVTS) stands against other AI stocks that are making waves this week.
Navitas Semiconductor Corporation (NASDAQ:NVTS) is a small-cap chip designer. Its next-generation power solutions support energy-efficient AI data centers. On May 21, the pure-play, next-generation power semiconductor company announced its latest 12 kW power supply unit (PSU) for hyperscaler AI data centers. The PSU is designed for high-power rack densities of 120 kW and complies with Open Rack v3 (ORv3) specifications and Open Compute Project (OCP) guidelines. It is designed to ensure the highest efficiency and performance, along with the lowest component count. In simple words, Navitas’ new power supply unit is faster, safer, and more efficient. This makes it an ideal choice for powering the next generation of AI-driven data centers.
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Aerial view of a large solar panel array under construction in a rural China landscape.
“The continuation and leadership of Navitas’ AI power roadmap has seen a quadrupling in output power – from 2.7 to 12 kW – in just over 24 months. This increase in power delivery is vital for the world’s data centers to support the exponential power demanded by the latest GPU architectures. The ‘designed for production’ PSU enables our customers to quickly implement a highly efficient, simple, and cost-effective solution to address the power delivery challenges for AI and hyperscale data centers.”
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>>> Nvidia stock extends gains as Saudi Arabia set to spend billions on AI chips, US moves to rescind Biden's chip curbs
Yahoo Finance
by Laura Bratton
May 14, 2025
https://finance.yahoo.com/news/nvidia-stock-extends-gains-as-saudi-arabia-set-to-spend-billions-on-ai-chips-us-moves-to-rescind-bidens-chip-curbs-132859592.html
Nvidia (NVDA) stock jumped 3.6% early Wednesday, extending its gain from the prior day, when shares rose nearly 6% and the AI chipmaker’s market cap surpassed $3 trillion for the first time since February.
The gains come as US chipmakers, including Nvidia, announced billions of dollars' worth of deals with Saudi Arabia during an investment forum attended by President Trump on Tuesday.
Nvidia said it will supply several hundred thousand of its AI chips to Saudi Arabia’s AI venture Humain over the next five years, beginning with the sale of one of its latest Grace Blackwell AI supercomputers using 18,000 of its advanced GB300 chips. Humain is a new AI venture owned by Saudi Arabia’s $925 billion Public Investment Fund and chaired by Crown Prince Mohammed bin Salman. It was launched just a day ahead of Trump’s visit to the country.
Bank of America (BAC) analysts estimated the total value of the deal at $7 billion and raised its price target on Nvidia stock to $160 from $150 in a note to investors Wednesday morning.
Also bolstering Nvidia shares, a report from Bloomberg on Tuesday indicated the Trump administration may cut a deal to allow the United Arab Emirates to purchase "more than a million" of Nvidia's AI chips.
Fellow US chipmakers Advanced Micro Devices (AMD) and Qualcomm (QCOM) also unveiled deals to supply chips to Humain for its ambitious AI data center plans over the coming years. AMD’s deal was valued at $10 billion.
Bernstein analyst Stacy Rasgon said the news is a good sign of demand for AI hardware.
“For investors worried about AI capex sustainability, we now have another deep pocketed customer willing and capable to spend large amounts of money on a clearly strategic push as Saudi Arabia attempts to position itself as a regional and global AI hub,” he wrote in a note to investors early Wednesday.
“While we shall see how much of the announced programs actually come to pass, Tuesday’s actions have the potential to act as support against fears of a capex peak.”
Investors have scrutinized whether US Big Tech companies can sustain unprecedented levels of spending on AI infrastructure while companies are still figuring out how to fully monetize their AI products.
Separately, Super Micro Computer (SMCI), a server maker that uses Nvidia’s AI chips and server designs, announced a $20 billion deal with Saudi Arabian data center company DataVolt. That stock, which closely tracks with Nvidia’s moves, rose 16% on Tuesday and another 18% in early trading Wednesday.
The news came as Saudi Arabia and President Trump touted a $600 billion deal for the kingdom and companies based there to purchase US technology, weapons, and infrastructure. But so far, the investments unveiled Tuesday total much less than $600 billion.
Nvidia stock’s jump on Wednesday helped inch shares closer toward positive territory for 2025 after a rocky several months. Shares were down 3% year to date at Tuesday’s close.
The AI chipmaker’s Saudi Arabia deal helped brighten Wall Street’s outlook for the company's sales abroad just after Trump banned exports of its chips for China. However, his administration looked to ease Biden-era restrictions on Nvidia’s exports to the rest of the world (including the Middle East).
The Department of Commerce on Tuesday announced that it had initiated the rescission of Biden’s so-called AI diffusion rule, which was meant to halt the smuggling of US AI chips, namely Nvidia’s, to China.
The department also said that “using Huawei Ascend chips anywhere in the world violates US export controls.” Huawei’s latest Ascend chips are reportedly competitive with Nvidia’s prior-generation Hopper chips.
Bernstein’s Rasgon said, “Huawei chips are not made in the US nor exported from there, and (purportedly at least) are manufactured without using US technology (so it is not clear how customers using them would be in violation of US export restrictions).”
“Nevertheless, such an interpretation of the rules would clearly make it more difficult for Huawei to sell Ascend chips to customers outside of China, as well as seemingly open up Chinese users of the parts to more of the US’s regulatory hammers,” he added. “This is probably a positive for NVDA and other US AI names, though it remains to be seen how China might respond.”
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>>> Amazon has halted some data center leasing talks, Wells Fargo analysts say
Reuters
April 21, 2025
https://finance.yahoo.com/news/amazon-halted-data-center-leasing-220311873.html
(Reuters) - Amazon.com has paused some data center lease talks for its cloud division, particularly in overseas markets, suggesting a short-term slowdown in leasing for large-scale facilities, Wells Fargo analysts said on Monday.
The move by the largest U.S. cloud company is the latest sign that rising economic uncertainty could be forcing companies to rethink how they spend the billions of dollars they have earmarked for AI infrastructure including pricey Nvidia chips.
Wells Fargo analysts said the magnitude of Amazon's pause was unclear, but it was similar to Microsoft's recent pullback.
Rather than canceling any signed deals, Amazon is "digesting aggressive recent lease-up deals," the analysts said.
"It does appear like the hyperscalers (big cloud companies) are being more discerning with leasing large clusters of power, and tightening up pre-lease windows for capacity that (would) be delivered before the end of 2026," they said in a note, adding that the likes of Meta, Alphabet-owned Google and Oracle remain active in leasing.
Amazon downplayed the note. "This is routine capacity management, and there haven't been any recent fundamental changes in our expansion plans," said Kevin Miller, vice president of Amazon Web Services Global Data Centers in a post on LinkedIn.
Rival Microsoft abandoned data center projects set to use 2 gigawatts of electricity in the U.S. and Europe in the last six months due to an oversupply relative to its current demand forecast, TD Cowen analysts had said in March.
Investor skepticism about the hefty artificial intelligence spending by U.S. tech firms has increased due to slow payoffs and the rise of Chinese startup DeepSeek, which showcased AI technology at a much lower cost than its Western rivals.
Like rivals, Amazon is investing heavily in generative AI, including releasing a variety of chatbots serving sellers, businesses and consumers.
CEO Andy Jassy justified its billions of dollars in outlays for artificial intelligence development earlier this month, saying the investment was necessary to remain competitive.
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$AMOD:
Most retailers use AI to predict.@AlphaModus uses it to respond—live, in-store, in the moment.
— Alpha Modus (@AlphaModus) March 31, 2025
Learn more: https://t.co/sYHaFVHIZv pic.twitter.com/8MJgB6dxOF
$AMOD Alpha Modus: Helping Set IP Leadership Standards And Usher In A New Era Of Innovation In Retail AI
By Meg Flippin Benzinga
DETROIT, MICHIGAN - March 19, 2025 (NEWMEDIAWIRE) - Artificial Intelligence is transforming the retail landscape, enabling retailers, marketers and brands to personalize the experience for consumers, boost engagement and optimize in-store experiences. In this era of online and mobile shopping retailers need an edge, and AI is providing that.
Alpha Modus Holdings Inc. (NASDAQ: AMOD), the technology company specializing in AI-driven retail and fintech solutions, has been an innovator in this evolution, developing AI-driven retail technologies designed to transform the experience for everyone involved. The company uses sensors and AI to capture consumers' sentiments and impressions in the moments when they are first interacting with a product. To achieve that effectively, Alpha Modus is building new technology from digital signage to smart inventory management systems. It's deploying kiosks and targeted digital ads to make the shopping experience better for everyone.
But the company has also seen its share of challenges. It has had to defend its intellectual property in patent infringement lawsuits that are ongoing today. Alpha Modus says the cases reflect the company's commitment to protecting its technology and securing rightful recognition of its innovations. The first of these cases is set for trial in November 2025.
First Of More Settlements To Come?
Its defense just got stronger with a patent settlement with Shelf Nine and its parent company, VSBLTY Groupe Technologies. Not only have Shelf Nine and VSBLTY agreed to put litigation behind them - validating Alpha Modus' technology claims - but they are embarking on a planned strategic partnership.
"In an industry where technological advancement often outpaces legal frameworks, it is crucial that companies assert their IP rights to ensure that their innovations are recognized and leveraged to propel the industry forward," says William Alessi, CEO of Alpha Modus. "Beyond the immediate benefits of this settlement, it also sets a powerful legal precedent that strengthens Alpha Modus' position in its ongoing lawsuits against other major retailers and digital signage networks. By securing this agreement, Alpha Modus has demonstrated that its patents are enforceable and valuable--making it increasingly difficult for other defendants to dismiss or undermine its claims."
While it's the first settlement in Alpha Modus' patent infringement suits, the company is hoping it isn't the last. It has patent infringement claims against Walgreens Boots Alliance Inc., Wakefern Food Corp. and Brookshire Grocery Co., among others. In the case of Walgreens, which Alpha Modus alleges willfully infringed on its patented AI-driven retail technology which enhances in-store shopping through data-driven insights, interactive advertising and consumer engagement tools, the company is seeking $500 million in damages. Alpha Modus says Walgreens's deployment of Cooler Screens digital smart screens in its stores mirrors the innovations protected under its patents, necessitating this legal action.
The settlement with VSBLTY gives Alpha Modus more confidence in pursuing further legal actions and puts potential patent infringers on notice, the company says. It also reinforces its commitment to protecting its proprietary technology and its investors.
"The irony of this partnership is not lost on us--what started as a lawsuit has evolved into one of the most valuable alliances for both organizations," said Jay Hutton, CEO of VSBLTY Groupe Technologies. "While the circumstances of our initial engagement were far from ideal, the outcome is undeniably positive. We now have the opportunity to compete in an industry dominated by giants, backed by a portfolio of patented IP from Alpha Modus and VSBLTY. Our combined vision and execution capabilities are impressive, and we are excited about the opportunities ahead."
Game-Changing Partnership
While the settlement in and of itself is good news for Alpha Modus and its shareholders, the proposed strategic partnership with VSBLTY, the maker of digital displays, may prove to be game-changing. As part of the deal VSBLTY will integrate Alpha Modus' proprietary technology into its data analytics software. Alpha Modus says that will enable smarter, more efficient and more engaging retail environments.
"This partnership underscores a fundamental truth: innovation thrives when protected and respected," said Alessi. "Alpha Modus is not just protecting its patents--it is shaping the future of retail AI. The fact that leading retailers and digital signage networks have integrated technologies resembling those developed by Alpha Modus demonstrates the value of our intellectual property. However, innovation without protection leads to dilution, and Alpha Modus remains committed to enforcing its IP rights where necessary."
With its technology validated, its IP portfolio strengthened and a game-changing partnership in the works, Alpha Modus says its positioned for growth. "As the investment community takes note of this progress, one thing is certain: Alpha Modus is not just a player in the retail AI space--it is a pioneer defining its future," says Alessi.
Featured photo by Tingey Injury Law Firm on Unsplash.
This post contains sponsored content. This content is for informational purposes only and is not intended to be investing advice.
This content was originally published on Benzinga. Read further disclosures here.
View the original release on www.newmediawire.com
>>> Musk’s xAI Discussing $10 Billion Raise at $75 Billion Valuation
Bloomberg
by Gillian Tan
February 14, 2025
https://finance.yahoo.com/news/analysis-chinese-exporters-brace-rat-230351699.html
(Bloomberg) -- Elon Musk’s artificial intelligence company xAI is canvassing potential investors for a roughly $10 billion funding round that would value the company at about $75 billion, according to a person with knowledge of the matter.
Existing investors including Sequoia Capital, Andreessen Horowitz and Valor Equity Partners are in talks to participate in the transaction, said the person, who asked not to be identified discussing private information. Terms of the round aren’t finalized and could still change.
Representatives for xAI and Valor didn’t immediately respond to a request for comment. Representatives for Andreessen Horowitz and Sequoia declined to comment. The New York Post previously reported xAI could be valued at $75 billion.
XAI has raised billions at a rapid pace. The company was last valued at about $51 billion, according to data compiled by PitchBook. The company said in December it had raised $6 billion in funding in a Series C round, after announcing another $6 billion funding round in May.
The company is a competitor to OpenAI, the AI giant that Musk helped found. He recently made an unsolicited $97.4 billion offer to buy the assets of the nonprofit that controls OpenAI. XAI’s main product, a chatbot called Grok, is available through his social network X, formerly known as Twitter Inc.
On Thursday, Musk praised his upcoming Grok 3 chatbot as an AI model that is outperforming others that have been released thus far, adding the world would get to see it in a matter of weeks. XAI is also in talks to buy servers from Dell Technologies Inc., a deal worth more than $5 billion.
In December, xAI said investors included Andreessen Horowitz, Fidelity Investments, BlackRock Inc., Kingdom Holdings Ltd., Lightspeed Venture Partners, MGX, Morgan Stanley, Oman Investment Authority, the Qatar Investment Authority, Sequoia, Valor and Vy Capital among others.
A slew of other investors have also backed the company including Nvidia Corp., DFJ Growth, Advanced Micro Devices Inc.’s AMD Ventures, Petra Equity Partners, Transform Investment Group and Flat Capital, PitchBook data shows.
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>>> AI Is Fueling A 'Nuclear Renaissance.' Bill Gates And Jeff Bezos Are In The Mix.<<<
https://investorshub.advfn.com/boards/read_msg.aspx?message_id=175801002
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>>> How to Protect Yourself From the Tech Bubble Bursting
By James Rickards
January 29, 2025
https://dailyreckoning.com/how-to-protect-yourself-from-the-tech-bubble-bursting/
How to Protect Yourself From the Tech Bubble Bursting
In the 1920s, Radio Corporation of America (RCA) was the hottest stock in the world.
Radio was cutting-edge tech, and RCA was dominant in the sector. The company was the largest manufacturer of radio sets and operated the largest broadcasting company, NBC. They owned key patents and had attracted many of the country’s best engineers.
In 1921 RCA shares traded as low as $1.50 (split-adjusted). By 1929 RCA rose to a peak of $549. A 352x return.
At its highs in 1929 RCA was trading at a P/E of 72x. Speculation had driven the price far beyond rational levels.
The bubble popped in 1929, and by 1932 RCA shares were trading at $15. That’s still a 10x return over 11 years, but the majority of investors had bought in at much higher prices. The use of margin borrowing was commonplace, and added fuel to the fire (sound familiar?).
Of course, we also saw a similar mania during the dot-com bubble. Cisco, Intel, and a few other tech leaders soared to unimaginable heights, then crashed back down to Earth.
You could say RCA was the Cisco of the Roaring ‘20s. And possibly the Nvidia of its time.
Is DeepSeek the Pin?
China’s new AI model DeepSeek R1 has the potential to be the pin that pricks the AI bubble. But it hasn’t happened yet.
On Monday, Jan. 27, Nvidia shares fell 17% after the market had digested China’s AI developments.
But yesterday shares rebounded by almost 9%. The dip was bought, for now at least.
I don’t know if this Chinese AI model will be the catalyst that ends the AI mania. But the bubble will inevitably end.
The market is poised for a crash, it only requires the right catalyst. Something frightening. A bank run, financial crisis, war, or even an AI breakthrough from our primary competitor.
Whether this latest Chinese AI model is that catalyst remains to be seen. But the 17% one-day drop in Nvidia shares does demonstrate that this market is easily spooked.
Profits (and Risks) Concentrated
The rise of AI in America has severely concentrated market risk. Even before the AI boom, markets were already heavily tilted towards big tech.
Today it’s far more pronounced. Anyone investing in the S&P 500 has more money in the Mag 7 stocks than they do in the bottom 400 companies put together. These 7 big tech firms make up about 34% of the entire S&P 500.
This is what happens during bubbles. A handful of companies dominate the market.
Make no mistake, these periods are driven by real advances. But they inevitably get out of control. It has happened with every major technological development. Railroads, internet, crypto, and now AI.
Anyone who has studied manias can clearly recognize the signs. Problem is, it’s difficult to know exactly when it will end. But judging by the market’s recent action, we’re getting closer.
Go Analog to Hedge Digital
If you own almost any American stock market index, you likely have plenty of exposure to Nvidia, Microsoft, Google, Amazon and the rest of the Magnificent 7.
Now is not a time to jump into these names as the tech sector remains vulnerable. I much prefer to buy areas the rest of the market is ignoring. Gold, silver, miners, oil and gas, residential real estate. Hard assets.
Despite all the hype around this tech cycle, we are still entering a hazardous monetary period. The U.S. and much of the world have entered into debt spiral territory. Once debt/GDP broaches 120%, as it did recently in the U.S., it almost always leads to a debt or monetary crisis. Even in a best case it leads to a prolonged period of slow growth, which is also poison for stocks.
AI is powerful, but it cannot save us from mathematics. So if you don’t have any, go buy some hard assets. The easiest place to start is gold and silver coins. I suggest that everyone should have 10% of their portfolio in these assets. They remain the ultimate diversifiers.
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>>> Sensitive DeepSeek data exposed to web, Israeli cyber firm says
Reuters
January 29, 2025
By Raphael Satter
https://finance.yahoo.com/news/sensitive-deepseek-data-exposed-israeli-231854698.html
WASHINGTON (Reuters) - Israeli cybersecurity firm Wiz says it has found a trove of sensitive data from the Chinese artificial intelligence startup DeepSeek inadvertently exposed to the open internet.
In a blog post published Wednesday, Wiz said that scans of DeepSeek's infrastructure showed that the company had accidentally left more than a million lines of data available unsecured. Those included digital software keys and chat logs that appeared to capture prompts being sent from users to the company's free AI assistant.
Wiz's chief technology officer said DeepSeek quickly secured the data after his firm alerted them.
"They took it down in less than an hour," Ami Luttwak, Wiz's co-founder, said. "But this was so simple to find we believe we're not the only ones who found it."
DeepSeek did not immediately return a message seeking comment.
DeepSeek's practically overnight success following the launch of its AI assistant has thrilled China and sparked anxiety in America. The Chinese company's apparent ability to match OpenAI's capabilities at a much lower cost has posed questions over the sustainability of the business models and profit margins of U.S. AI giants such as Nvidia and Microsoft.
By Monday, it had overtaken U.S. rival ChatGPT in downloads from Apple's App Store, triggering a global selloff in tech shares.
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>>> Cadence Design Systems, Inc. (NASDAQ:CDNS)
https://finance.yahoo.com/news/cadence-design-systems-inc-cdns-220153503.html
Number of Hedge Fund Holders: 53
Cadence Design Systems, Inc. (NASDAQ:CDNS) is an American multinational technology and computational software company that delivers hardware, software, and IP for electronic design. On January 22, the leading EDA and Intelligent System Design provider announced that MediaTek, a Taiwanese semiconductor company, has adopted Cadence’s AI-driven tools Cadence® Virtuoso® Studio and Spectre® X Simulator on the NVIDIA accelerated computing platform for its 2nm development. MediaTek will be leveraging Cadence’s AI-driven custom/analog design solutions to achieve a 30% productivity gain, resulting in faster and more accurate chip design processes.
“MediaTek’s validation of our latest Virtuoso Studio release and Spectre X Simulator on NVIDIA’s accelerated computing platform demonstrates that Cadence’s continued investment in enhancing our industry-leading custom design solutions and AI tools is a game changer for our customers’ most challenging 2nm designs. Bringing the power of AI and GPUs to Spectre X enables MediaTek to solve its large-scale verification simulation challenges even more quickly, without sacrificing accuracy”.
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>>> Comfort Systems Stock Looks Hot As It Cools Data Centers
IBD
by KIMBERLEY KOENIG
01/17/2025
https://www.investors.com/stock-lists/ibd-big-cap-20/data-centers-comfort-systems-stock-fix/?src=A00220
Servers in data centers use a large amount of heat and require specialized cooling systems. Building and cooling services company Comfort Systems USA (FIX) is tapping into the growing market for these much-needed systems.
Comfort Systems provides mechanical, electrical, plumbing and ventilation services for data centers, pharmaceutical, health care and industrial facilities. It employs around 18,000 plumbers, welders, pipe fitters and electricians, plus technology for robotic welding. It also makes modular cooling units used in data centers.
The IBD Big Cap 20 and IBD 50 company sees hefty demand for its construction business stretching into 2026. Comfort Systems also sees opportunity in its modular delivery business, used primarily for data centers, which is currently only about 17% of its overall business.
The company builds modular cooling units used in data centers, which can be shipped for on-site construction by workers or even robots.
Comfort Systems ranks No. 1 out of 13 stocks in IBD's Building-A/C & Heating Products industry group.
Comfort Systems Back Near Record High
The stock is forming a late-stage cup base with a 510.79 buy point, according to MarketSurge pattern recognition. That's a mark of leadership that may help offset the risk of being a late-stage pattern.
Shares retook the 10-week moving average in a 14% climb the past week as they try to complete the right side of the cup. The bounce off the 10-week line offered an early entry around 465.
Its relative strength line has reached a 52-week high, as shown by the blue dot on its IBD MarketSurge charts. The stock has climbed a healthy 17% so far in January, after more than doubling in 2024 and more than quadrupling since January 2023.
Its 1.5 up/down volume ratio indicates positive demand for the stock over the last 50 days.
Data Center Cooling Provider Shows Robust Profit Growth
Comfort Systems beat third-quarter earnings estimates but missed sales forecasts on Oct. 24. It saw an increase in its technology-sector sales from data centers and chip plants. Its average project takes six to nine months to complete.
"We are happy to report record earnings and cash flow this quarter," said President and CEO Brian Lane in the earnings release. The company also reported a backlog of $5.68 billion as of Sept. 30, down from $5.77 billion on June 30.
Third-quarter earnings grew 49% following gains of 78% and 94% in the prior two quarters. And its Q3 sales lifted 32% after rising 31% and 40% in Q1 and Q2.
Forecasts call for a 30% pop in its Q4 sales, then tapering to 14% and 9% over the following two quarters. Analysts estimate 2024 earnings to grow 64% after a 65% burst in 2023. For this year, the consensus estimate is for a 20% earnings increase.
Its IBD Earnings Stability factor of 15 out of 99 possible (lower is better), shows stable earnings over the last three to five years. It also holds a perfect 99 EPS Rating and a 98 Composite Rating.
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>>> Trane Technologies (TT) Stock Trades Down, Here Is Why
StockStory
by Anthony Lee
January 27, 2025
https://finance.yahoo.com/news/trane-technologies-tt-stock-trades-184601026.html
Trane Technologies (TT) Stock Trades Down, Here Is Why
What Happened?
Shares of HVAC company Trane (NYSE:TT) fell 8.6% in the afternoon session as stocks heavily tied to the AI market took a hit after Chinese artificial intelligence startup DeepSeek released a new large language model that ranks competitively on key global benchmarks, uses less advanced semiconductor chips, costs significantly less to build, and has already achieved strong adoption after topping the iPhone App Store for AI apps. TT in particular supplies HVAC (heating, ventilation, air conditioning) to the datacenter market, which is being buoyed by AI.
Notably, DeepSeek has also open-sourced this model, a move that may make it harder for rivals to justify huge upfront expenditures on hardware, software, and expertise to develop similar systems. Speaking at the World Economic Forum in Davos, Switzerland, Microsoft CEO Satya Nadella praised DeepSeek's efforts, calling the new model "super impressive" for its open-source design, efficient inference-time computing, and high compute efficiency. "We should take the developments out of China very, very seriously," he added.
Nadella's comments suggest that upstarts like DeepSeek could reshape the competitive landscape of AI. DeepSeek's announcement disrupts long-held assumptions in key ways: 1.) It undercuts the narrative that bigger budgets and access to top-tier chips are the only ways forward for AI development. 2.) By using less advanced hardware, DeepSeek opens the door for innovators who face high chip costs or export restrictions, reaffirming they can still compete. 3.) The model's success bring uncertainty to the growth narrative of companies that develop AI powered chips and the infrastructure that supports the production and maintenance of these AI tools, including datacenter servers, as well as the HVAC and water systems providers that cool datacenters.
Overall, today's news shows that the market sees more uncertainty in demand as DeepSeek shows that top-tier infrastructure may not be as needed.
The shares closed the day at $367.74, down 8.3% from previous close.
The stock market overreacts to news, and big price drops can present good opportunities to buy high-quality stocks. Is now the time to buy Trane Technologies?
What The Market Is Telling Us
Trane Technologies’s shares are not very volatile and have only had 2 moves greater than 5% over the last year. In that context, today’s move indicates the market considers this news meaningful, although it might not be something that would fundamentally change its perception of the business.
Trane Technologies is down 1.7% since the beginning of the year, and at $367.62 per share, it is trading 12.3% below its 52-week high of $419.14 from November 2024. Investors who bought $1,000 worth of Trane Technologies’s shares 5 years ago would now be looking at an investment worth $2,849.
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>>> Nvidia stock plummets, loses record $589 billion as DeepSeek prompts questions over AI spending
Yahoo Finance
by Laura Bratton
January 27, 2025
https://finance.yahoo.com/news/nvidia-stock-plummets-loses-record-589-billion-as-deepseek-prompts-questions-over-ai-spending-135105824.html
Nvidia (NVDA) stock dropped nearly 17% Monday, leading a sell-off across chip stocks and the broader market after a new AI model from China's DeepSeek raised questions about AI investment and the rise of more cost-efficient artificial intelligence agents.
Nvidia's decline shaved $589 billion off the AI chipmaker's market cap, the largest single-day loss in stock market history.
Chinese startup DeepSeek released a new AI model on Jan. 20 viewed as a threat to OpenAI. American venture capitalist Marc Andreessen called the model “one of the most amazing and impressive breakthroughs I’ve ever seen.”
The news came just a month after DeepSeek said one of its latest AI models cost just $5.6 million to train. OpenAI’s GPT-4 model cost more than $100 million to train.
The announcements spurred fears that AI models may begin to require fewer chips and energy than they currently use. Nvidia has become the world's largest company on the back of exploding demand for its high-end chips that help train and use AI models.
“If DeepSeek’s innovations are adopted broadly, an argument can be made that model training costs could come down significantly even at U.S. hyperscalers, potentially raising questions about the need for 1-million XPU/GPU clusters as projected by some,” wrote Raymond James semiconductor analyst Srini Pajjuri in a note to investors Sunday evening.
Chip stocks also dropped across the board premarket Monday, with Broadcom (AVGO) down over 17%, Micron (MU) off almost 12%, and Advanced Micro Devices (AMD) down more than 6%.
However, Pajjuri continued, “A more logical implication is that DeepSeek will drive even more urgency among U.S. hyperscalers to leverage their key advantage (access to GPUs) to distance themselves from cheaper alternatives.”
Bernstein analyst Stacy Rasgon also called into question the $5.6 million training cost for DeepSeek’s model, which “does not include all the other costs associated with prior research and experiments on architectures, algorithms, or data.”
Rasgon believes DeepSeek's announcement was "not really worthy of the hysteria that has taken over the Twitterverse over the last several days."
Nvidia itself didn't seem too worried about the DeepSeek buzz, calling R1 "an excellent AI advancement" in a statement.
Tightened US export restrictions announced in former President Joe Biden’s final days in office could also add a threat to DeepSeek’s ability to continue training new models.
The new rules limit China’s ability to buy Nvidia’s AI chips through resellers and access chips in remote data centers. And China is restricted from importing the most advanced chipmaking machines required to make artificial intelligence semiconductors from the Dutch firm ASML (ASML).
At the same time, the US is ramping up investment in its own AI infrastructure.
President Trump last week announced the Stargate AI project, which plans to immediately invest $100 billion to build US data centers and other infrastructure — with funding from SoftBank, Oracle, OpenAI and UAE-based MGX — to power generative artificial intelligence. The project would include another $400 billion in spending over the next four years.
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>>> CoreWeave, Inc. is an American cloud-computing startup based in Roseland, New Jersey, that specializes in providing cloud-based graphics processing unit (GPU) infrastructure to artificial intelligence developers.[1][2][3][4]
https://en.wikipedia.org/wiki/CoreWeave
The company was founded in 2017 by three commodities traders—Michael Intrator, Brian Venturo, and Brannin McBee—originally as a cryptocurrency company mining ethereum using GPUs, when it was known as Atlantic Crypto. In the wake of the 2018 cryptocurrency crash, the company was renamed CoreWeave in 2019, pivoting to providing its computing resources to companies that needed them by leveraging its large inventory of GPUs.[1][2][5]
CoreWeave has a startup accelerator program to help startup companies with the access to the large scale GPU-accelerated workloads. As of 2024, the company has thirteen data centers across the United States and two in the United Kingdom.[6][7] CoreWeave's infrastructure is built on a Kubernetes-native architecture, designed to support large-scale, GPU-intensive tasks.[6]
CoreWeave, which has privileged access to Nvidia GPUs, which are in short supply,[8] secured a $2.3 billion debt financing facility led by Magnetar Capital and Blackstone by using Nvidia's H100 GPUs as collateral in August 2023.[9] The company raised $1.1bn in funding led by Coatue Management in May 2024, valuing the company at $19bn.[3][10] According to a Bloomberg News report in October 2024, Cisco is set to invest in CoreWeave valuing the company at $23 billion.[11] In the same month, CoreWeave announced that it secured a $650 million credit line for expanding its operations and datacenters.[12] Goldman Sachs, JPMorgan Chase and Morgan Stanley were among those who led the financing.[12][13] The company has announced plans to invest £750 million ($978.6 million) in the U.K.[14] CoreWeave signed a lease with Onyx Equities and Machine Investment Group for building a $1.2bn data center in New Jersey in Oct 2024.[15] CoreWeave is taking a 280,000 sq ft space at the NEST (Northeast Science and Technology Center) in Kenilworth, New Jersey, for the data center.[16][17] In December 2024, Canadian AI startup Cohere announced plans to build a multi-billion data center built and operated by CoreWeave.[18]
In June 2024, CoreWeave offered to buy Core Scientific, a Bitcoin-miner that had come out of bankruptcy protection, in an all-cash deal for $1 billion; however, the offer was rejected.[19][20] In Oct 2024, Core Scientific announced that CoreWeave exercised its option to contract for additional infrastructure as part of the 200MW hosting contract.[21] As part of the agreement, Core Scientific will modify infrastructure at one of its sites to deliver around 120 incremental MW of IT load to host CoreWeave's Nvidia GPUs.
As of 2024, Intrator is the company's chief executive, while the other co-founders, Venturo and McBee, are the chief technology officer and chief strategy officer, respectively;[1] the company has around 550 employees.[2] Coreweave announced on October 18, 2024, that Michelle O’Rourke was named as its new chief people officer.[22]
IPO
Bloomberg reported in November 2024 that CoreWeave plans to launch an initial public offering in 2025.[23] In the same month, CoreWeave closed a $650 million secondary share sale, raising the company's valuation to $23 billion.[24]
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>>> Biden signs executive order to ensure power for AI data centers
Reuters
By David Shepardson
January 14, 2025
https://www.reuters.com/technology/artificial-intelligence/biden-issue-executive-order-ensure-power-ai-data-centers-2025-01-14/
Summary
Biden order vows to address dramatic needs for power for AI data centers
Energy, Defense departments will lease sites to host gigawatt-scale AI data centers
US forecasts AI centers will need as much as five gigawatts of capacity by 2028
WASHINGTON, Jan 14 (Reuters) - President Joe Biden signed an executive order on Tuesday to provide federal support to address massive energy needs for fast-growing advanced artificial intelligence data centers, the White House said.
The order calls for leasing federal sites owned by Defense and Energy departments to host gigawatt-scale AI data centers and new clean power facilities - to address enormous power needs on a short time frame.
Biden said the order will "accelerate the speed at which we build the next generation of AI infrastructure here in America, in a way that enhances economic competitiveness, national security, AI safety, and clean energy."
The order also requires companies tapping federal land for AI data centers to purchase an "appropriate share" of American-made semiconductors. The number of purchases required would be worked out on a case-by-case.
"It's really vital that we ensure that the AI industry can build out the infrastructure for training and using powerful AI models here in the United States," White House technology adviser Tarun Chhabra told reporters.
He noted the volumes of computing power and electricity needed to train and operate frontier models - a term for the most advanced AI models available - "are increasing rapidly and set to surge even more."
He said by around 2028 leading AI developers will be seeking to operate data centers with as much as five gigawatts of capacity for training AI models.
The Commerce Department said Monday it would further restrict AI chip and technology exports to keep advanced computing power in the United States and among its allies while finding more ways to block China's access.
"From a national security standpoint, it's really critical to find a pathway for building the data centers and power infrastructure to support frontier AI operations here in the United States, to ensure that the most powerful AI models continue to be trained and stored securely here in the United States," Chhabra said.
Biden also wants agencies to facilitate interconnection to the electric grid, address permitting obligations expeditiously, and advance transmission development around federal sites.
Chhabra noted AI systems developed today are already "demonstrating really remarkable capabilities for military applications or potential use, including really significant risks when it comes to engineering biological or chemical, radiological or nuclear weapons, for cyber attacks."
He added ensuring domestic data centers "will also prevent our adversaries from accessing these powerful systems to the detriment of our military and our national security."
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$AMOD Feature: Alpha Modus Cements Its Position In The AI-Driven Advertising Market With 9th Patent
January 13, 202
Click here:
https://www.benzinga.com/partner/emerging-markets/25/01/42943192/alpha-modus-cements-its-position-in-the-ai-driven-advertising-market-with-9th-patent
$AMOD News: Alpha Modus Appoints Accomplished Executive Thomas Gallagher as Chief Revenue Officer to Drive Growth and Maximize Shareholder Value
CORNELIUS, N.C., Jan. 10, 2025 (GLOBE NEWSWIRE) -- Alpha Modus Holdings, Inc. (Nasdaq: AMOD) (“Alpha Modus” or the “Company”), is pleased to announce the appointment of Thomas Gallagher as Chief Revenue Officer (CRO) of the Company. In this role, Mr. Gallagher will oversee global revenue generation strategies, scaling operations, and aligning the Company’s sales, marketing, and business development efforts to accelerate growth and deliver robust shareholder returns.
Mr. Gallagher brings over two decades of proven leadership in driving revenue growth, strategic expansion, and operational excellence in competitive markets. Most recently, Mr. Gallagher served as Senior Vice President of Services and Solutions at Zones, where he spearheaded transformative strategies that significantly enhanced sales and operational efficiency. Prior to that, he held pivotal roles including Chief Sales Officer of Cloud Infrastructure Services at Capgemini North America and Vice President of Sales for North and South American Industries at DXC. His extensive experience also includes senior sales positions at IBM, HP/EDS, and AT&T.
"Thomas Gallagher is an outstanding addition to the Alpha Modus leadership team," said William Alessi, CEO. "His exceptional track record of delivering measurable results and building high-performing teams, coupled with his cross-industry expertise, will be instrumental as we target scaling our business and capitalizing on growth opportunities."
Throughout his career, Mr. Gallagher has demonstrated a deep understanding of market dynamics and a commitment to fostering strong relationships with customers, partners, and stakeholders. At Alpha Modus, he will lead initiatives in sales, operations, marketing, pricing strategies, partnerships, and revenue management, positioning the company for sustainable growth and enhanced profitability.
"I am thrilled to join Alpha Modus at such a pivotal moment in its journey," said Mr. Gallagher. "The Company has built a strong foundation as an AI innovator and IP owner and is well-positioned for continued success. I look forward to working with the talented team to drive innovation, unlock new revenue opportunities, and create lasting value for our shareholders."
This strategic appointment underscores Alpha Modus’ commitment to advancing its growth strategy and delivering long-term value to its stakeholders. As Mr. Gallagher steps into this critical leadership role, Alpha Modus is squarely focused on achieving ambitious revenue targets and establishing its position as an industry leader.
About Thomas Gallagher
Mr. Gallagher is a seasoned technology executive with a robust background in sales and go-to-market leadership. A graduate of the United States Naval Academy with a degree in Systems Engineering, he served as a Captain in the United States Marine Corps for five years. He currently resides in New Jersey.
About Alpha Modus
Alpha Modus engages in creating, developing and licensing data-driven technologies to enhance consumers’ in-store experience at the point of decision. Alpha Modus’s patent portfolio positions the Company as a leader in the evolving landscape of AI retail technology. With the ability to transform how consumers interact with brands at the point of sale, Alpha Modus is strategically positioned to capitalize on the increasing demand for AI-driven solutions that deliver measurable ROI for retailers and brands.
For additional information, please visit alphamodus.com.
Forward-Looking Statements
This press release includes “forward-looking statements” within the meaning of the “safe harbor” provisions of the United States Private Securities Litigation Reform Act of 1995. Alpha Modus’ actual results may differ from their expectations, estimates, and projections and, consequently, you should not rely on these forward-looking statements as predictions of future events. Words such as “expect,” “estimate,” “project,” “budget,” “forecast,” “anticipate,” “intend,” “plan,” “may,” “will,” “could,” “should,” “believes,” “predicts,” “potential,” “continue,” and similar expressions (or the negative versions of such words or expressions) are intended to identify such forward-looking statements, but are not the exclusive means of identifying these statements. These forward-looking statements include, without limitation, Alpha Modus’ expectations with respect to future performance.
Alpha Modus cautions readers not to place undue reliance upon any forward-looking statements, which speak only as of the date made. Alpha Modus does not undertake or accept any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements to reflect any change in its expectations or any change in events, conditions, or circumstances on which any such statement is based.
Contacts:
Alpha Modus Holdings, Inc.
Investor Relations
ir@alphamodus.com
+1(704)252-5050
https://www.globenewswire.com/newsroom/ti?nf=OTMyOTMwOSM2Njc5MjYwIzIyNjM1NDM=
https://ml.globenewswire.com/media/ODM5YWI1M2QtYTQ3OC00ZDZlLTg5YWItYWRjNTU3ZjE0NTcyLTEyNzUwOTM=/tiny/Alpha-Modus-Corp-.png
Source: Alpha Modus Corp.
>>> Nvidia dominated 2024 big-time. Next year? Plenty of challenges.
Yahoo Finance
by Daniel Howley
December 26, 2024
https://finance.yahoo.com/news/nvidia-dominated-2024-big-time-next-year-plenty-of-challenges-110047391.html
Nvidia (NVDA) has had the kind of year most companies can only dream of.
Its revenue and stock price soared thanks to prescient investments in artificial intelligence technologies that are paying off handsomely on the back of the generative AI wave.
That’s not all. It’s repeatedly swapped places with Apple (AAPL) as the largest publicly traded company in the world by market cap, topping the $3 trillion mark. CEO Jensen Huang has become one of the most in-demand executives in Silicon Valley, meeting with everyone from fellow tech luminaries to world leaders and then some.
And there’s more to come. The company is ramping up production of its high-powered Blackwell chip for AI applications and expects to ship several billion dollars worth of the hardware in the fourth quarter alone, with far more expected throughout the year ahead.
“Nvidia really has the [hardware and software] for the AI computing era,” Futurum Group CEO Daniel Newman told Yahoo Finance. “It's all connected inside the [server] rack, outside the [server] rack, and then the software is very well … liked within the developer communities.”
But the competition isn’t sitting idly by.
Companies like AMD (AMD) are angling to poach Nvidia’s customers and slice into its estimated 80% to 90% market share. Even Nvidia’s own customers are working on chips meant to cut down on their reliance on the graphics giant’s semiconductors.
And Wall Street is getting on board.
Shares of Broadcom (AVGO), which works with companies like Google (GOOG, GOOGL) to design AI chips, are up 113% year to date and rocketed 44% in just the last month after CEO Hock Tan said AI could represent a $60 billion to $90 billion opportunity for the company in 2027 alone.
Still, taking on Nvidia will be a tough task for any company. And dethroning it as the AI king, at least in 2025, will be all but impossible.
The dominator
Nvidia grabbed a first-mover advantage in the AI market on the back of early investments in AI software that unlocked its graphics chips to be used as high-powered processors. And it’s managed to hold onto that lead in the space thanks to continued advances in its hardware, as well as its Cuda software that allows developers to build apps for its chips.
Because of that, so-called hyperscalers, massive cloud computing providers including Microsoft (MSFT), Alphabet’s Google, Amazon (AMZN), Meta (META), and others continue to plow cash into buying up as many Nvidia chips as possible. In its most recent quarter, Nvidia reported total revenue of $35.1 billion. Of that, $30.8 billion, or 87% came from its data center business.
“Everybody wants to build and train these huge models, and the most efficient way to do it is with CUDA software and Nvidia hardware,” TECHnalysis Research president and chief analyst Bob O’Donnell told Yahoo Finance.
Nvidia is expected to continue to power the bulk of the AI industry in 2025 as well. The company’s Blackwell chip, the successor to its popular Hopper line of processors needed to power AI applications, is in production — and its customers, like Amazon, are already adding new cooling capabilities to their data centers to handle the immense heat the processors generate.
“I don't know what the current backlog [for Nvidia’s chips is], but if it's not a year, it's close to a year,” O’Donnell said. “So, they're pretty much sold out for most of everything they're probably going to make next year already.”
With hyperscalers calling for increased or at least the same level of capital expenditures in 2025 as in 2024, you can expect a chunk of that will end up going to the purchase of Blackwell chips.
Nvidia still faces risks
While Nvidia will retain control of the AI crown, there’s no shortage of challengers looking to take its throne. AMD and Intel (INTC) are the top contenders among chipmakers, and both have products on the market. AMD’s MI300X line of chips is designed to tackle Nvidia’s H100 Hopper chips, while Intel has its Gaudi 3 processor.
AMD is better positioned to steal market share from Nvidia, though, as Intel continues to struggle amid its turnaround efforts and hunt for a new CEO. But even AMD is having a difficult time cracking Nvidia’s lead.
“What AMD needs to do is make software really usable, build the systems where there's more demand …with developers, and ultimately, that could create more sell through,” Newman said. “Because these cloud providers are going to sell what their customers ask for.”
It’s not just AMD and Intel, though. Nvidia’s customers are increasingly developing and pushing their own AI chips. Google has its Broadcom-based tensor processing unit chips (TPUs), while Amazon (AMZN) has its Trainium 2 processor and Microsoft (MSFT) has its Maia 100 accelerator.
There’s also concern that the shift to "inferencing AI models" will reduce the need for high-powered Nvidia chips.
Tech companies develop AI models by training them on huge amounts of data, otherwise referred to as the training process. Training requires incredibly powerful chips and lots of energy. Inferencing, or actually putting those AI models to work, is less resource- and power-intensive. As inferencing becomes a larger part of AI workloads, the thinking goes, companies will back away from needing to purchase so many Nvidia chips.
Huang has said he is prepared for this, explaining at various events that Nvidia’s chips are just as good at inferencing as they are at training.
Even if Nvidia’s market share slides, it doesn’t necessarily mean its business will be doing any worse than before.
“This is definitely a case of raising all boats,” Newman said. “So even with much stronger competition, which I think they certainly will have, that doesn't mean they're going to fail. This is people building a bigger pie.”
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>>> Marsh McLennan’s CIO started with a summer job in 1995. He never left and now leads a team of more than 5,000 technologists
Fortune
by John Kell
November 27, 2024
https://finance.yahoo.com/news/marsh-mclennan-cio-started-summer-153731035.html
Paul Beswick first joined Marsh McLennan in 1995 when he took a summer job at the insurance brokerage and management consulting firm. He’s never left and for the past five years has led a team of over 5,000 technologists as global chief information officer.
“My job has not really been to get deep into the details of what projects are being done,” says Beswick. “We have business unit CIOs who do that. They're much better at it than I would be.”
For most of his career at Marsh McLennan, Beswick worked for the management consulting business Oliver Wyman, specializing in the retail sector. He was a consultant for more than two decades, longer than Beswick intended, because he enjoyed helping retailers implement technology solutions.
Beswick became CIO in January 2021 and since then has focused on building a culture that promotes sharing the best ideas that can solve technology needs for all four of the company’s business divisions, which include Marsh, Guy Carpenter, Mercer, and Oliver Wyman. Those businesses bring together more than 85,000 colleagues that offer risk, strategy, and talent management services, generating $23 billion in annual revenue, placing Marsh McLennan at 180 on the Fortune 500.
Each Friday morning, Beswick hosts a conversation with a colleague to talk about their career history, what work they are doing at Marsh McLennan, and what they do during their free time. The company hosts monthly tech talks centered on business themes like cybersecurity and cloud FinOps, the latter an operational framework that helps companies manage their cloud costs.
“It’s a fantastic way to get these little views into different parts of a very big business and diverse organization and personalize it,” says Beswick. “Within technology, you tend to get a lot of introverts. There’s a lot of really good stuff that happens that no one talks about.”
A few key projects that kept him busy early in his tenure as CIO included reorganizing the technology teams to create more shared services, for functions like infrastructure and cybersecurity, to run across all the various divisions.
Beswick’s thinking also evolved on cloud. The journey to the public cloud began in the middle of the 2010s and envisioned retaining six global data centers, two apiece in the U.S., Europe, and APAC regions. They’ve since dropped down to one in each market and are now working to exit data centers entirely.
The migration to cloud has no firm end date, says Beswick, who is wary of overspending and of the risk of disrupting the full enterprise if every system is updated too quickly. Amazon Web Services is his main strategic partner, but Beswick expects to be multi-cloud for the foreseeable future and works with Microsoft Azure, Google, and Oracle.
”You're always squarely about picking one vendor—although I'd say AWS has been great—just because you feel sort of locked in,” says Beswick.
Beswick also led the development of LenAI, the company’s internally developed generative AI tool that’s used to summarize meetings, pull data from documents, and write drafts of presentations and emails. Since it rolled out roughly 15 months ago, 20 million requests have come in from employees, at a rate of about 500,000 each week. The large language models are rented, mostly from OpenAI via Microsoft Azure, but everything else is built by Marsh McLennan.
It took the company less than two days to build the first version of LenAI and Beswick says he’s happy about the experience of building the solution versus buying something off the shelf. The technology team has since gotten into a cadence of developing new capabilities that are built into the tool every few weeks.
Marsh McLennan launched a generative AI “academy” to speed up training and accelerate usage. Around 25,000 employees use LenAI each week.
“If you want to use it, great. If you don’t, that’s fine too,” says Beswick. "There's no cost savings target. It's just a tool that could be useful.”
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>>> Broadcom (AVGO) shares skyrocketed 24.4% to an all-time high, lifting the company's market capitalization above the $1 trillion level after the chipmaker beat revenue and profit estimates with its fiscal fourth-quarter results. The company said its artificial intelligence (AI) sales in fiscal 2024 more than tripled year-over-year, and several analysts raised their price targets on the stock, citing its AI revenue growth. Friday's gains made Broadcom the top daily performer in the S&P 500.
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https://finance.yahoo.com/news/p-500-gains-losses-today-221516641.html
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DELL - >>> This Magnificent Artificial Intelligence (AI) Stock Has Crashed 12%. Here's Why That's Great News for Investors
by Harsh Chauhan
Motley Fool
December 6, 2024
https://finance.yahoo.com/news/magnificent-artificial-intelligence-ai-stock-221500210.html
Dell Technologies' (NYSE: DELL) remarkable stock market rally came to a halt after the company released fiscal 2025 third-quarter results (for the three months ended Nov. 1) on Nov. 26, with shares of the technology giant that's known for its personal computer (PC) and server solutions dropping more than 12% in a single day.
It wasn't surprising to see investors pressing the panic button following Dell's results. The stock has delivered outstanding gains so far this year thanks to its improving financial performance. Moreover, Dell's growing artificial intelligence (AI) credentials have led to heightened expectations from the company. So, when Dell failed to deliver the numbers that Wall Street was looking for, the stock dropped big time.
However, this looks like an opportunity for savvy investors to buy a solid AI stock on the cheap. Let's look at the reasons why.
The PC market is weighing Dell down, but investors shouldn't miss the bigger picture
Dell reported fiscal third-quarter revenue of $24.4 billion, an increase of 10% from the year-ago quarter. The company's non-GAAP (adjusted) earnings increased 14% year over year to $2.15 per share. Dell's top line missed the midpoint of its quarterly revenue guidance of $24 billion to $25 billion in revenue by a whisker.
Analysts had set the bar even higher and were expecting Dell to deliver $24.7 billion in revenue. However, the company did beat the $2.06 earnings estimate comprehensively. Dell followed up its mixed quarterly numbers with weaker-than-expected guidance. The company is expecting fiscal Q4 revenue to land at $24.5 billion at the midpoint, which would be an increase of 10% from the year-ago quarter.
Analysts, however, were looking for $25.6 billion in revenue from Dell. The slower-than-expected recovery in the PC market was a key factor behind Dell's lower-than-expected guidance. PC shipments in the third quarter of 2024 were down 2.4% from the prior-year period, according to market research firm IDC. Dell's shipments were down 4% year over year.
This explains why the company's revenue from the client solutions group (CSG), through which it sells desktops, notebooks, workstations, and other PC-related hardware, fell 1% year over year to $12.1 billion. Though Dell's commercial PC revenue increased 3% from the year-ago period to $10.1 billion, slower-than-expected growth in consumer PCs weighed on this segment.
Dell points out that the PC refresh cycle has moved into 2025, and that's the reason why its CSG business may take some time to step on the gas. However, Dell is confident of a turnaround in the consumer PC space, pointing out that tailwinds such as "an aging install base, AI-driven hardware enhancements like battery life, and Windows 10 end of life" are likely to inject some momentum into this market.
The growing adoption of AI PCs, in particular, is expected to play a key role in this market's turnaround. Gartner estimates that AI PC shipments could increase an impressive 165% in 2025 to 114 million units, accounting for 43% of the overall market. So, there is a good chance that Dell will start witnessing growth in the CSG business next year.
At the same time, investors shouldn't forget that the demand for Dell's servers is increasing at an incredible pace thanks to AI. The strong demand for Dell's AI servers led to a 34% year-over-year increase in the company's revenue from the infrastructure solutions group (ISG) business to $11.4 billion. Sales of the company's servers and networking solutions shot up 58% to $7.4 billion.
The company sold $2.9 billion worth of AI servers last quarter. More importantly, the demand for those servers was even stronger as it received a record $3.6 billion worth of orders for AI servers last quarter. Dell management also pointed out that its revenue pipeline of AI servers for the next five quarters increased by more than 50% on a sequential basis.
Looking ahead, AI servers should continue to move the needle in a significant way for Dell. That's because the market for AI servers is expected to clock an annual growth rate of 30% through 2033, generating an annual revenue of $430 billion at the end of the forecast period.
The valuation makes buying Dell stock a no-brainer
Dell's latest quarterly results may have evoked mixed emotions among investors, but the discussion above tells us that the company has terrific long-term prospects thanks to the growing adoption of AI in the server and PC markets. That's the reason why buying Dell stock right now looks like a smart thing to do.
After all, Dell is trading at 22 times trailing earnings and 14 times forward earnings. Those multiples are lower than the tech-heavy Nasdaq-100 index's 32 times trailing earnings and 29 times forward earnings. As the chart below tells us, Dell is expected to clock healthy double-digit earnings growth going forward.
It won't be surprising to see the stock sustaining this momentum for a longer period, considering the lucrative AI-related addressable markets that it is serving, which is why investors looking to buy an AI stock right now that's trading at an attractive valuation should take a closer look at Dell before it regains its mojo.
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>>> Super Micro Wins Key Nasdaq Extension. The Stock Is Rising.
IBD
by ED CARSON
12/09/2024
https://www.investors.com/news/technology/super-micro-wins-nasdaq-extension-smci-stock/?src=A00220
Super Micro Computer (SMCI) announced late Friday that the Nasdaq stock exchange granted its request for an extension for submitting key filings. Super Micro stock rose early Monday, continuing a huge rebound since mid-November.
The AI server maker and Nvidia (NVDA) partner now has until Feb. 25 to file 10-K annual report for the fiscal year ended June 30 as well as the 10-Q report for the quarter ended Sept. 30.
Super Micro had been risk of a delisting.
Super Micro Stock, Accounting Saga
Super Micro stock jumped to 48 soon after Monday's open, but faded to up 2.1% at 44.85.
Shares spiked 31% on Nov. 19 after Super Micro requested an extension and announced it had hired a new auditor, BDO USA. Shares had already jumped 16% on Nov. 18 in anticipation of that filing.
On Monday, Dec. 2, SMCI stock vaulted nearly 29% after the company said that an independent special committee found no wrongdoing at the company.
All told, Super Micro stock shot up 155% from the Nov. 15 intraday low of 17.25 to Friday's close. But that follows an 86% plunge from the record 122.90 set on March 8. Shares sold off, especially since mid-July amid a short-seller report alleging shady accounting, a SEC probe of Supermicro's books and finally auditor Ernst & Young quitting.
SMCI stock closed at 49.12 on Oct. 29, just before Ernst & Young quit, questioning the books and management's integrity.
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$IQST: Centrex's Visual PBX with AIRWEB AI Avatars
Click here:
https://airweb.ai/blog-centrex-visual-pbx-with-airweb-ai-avatars
>>> SoundHound, A Top 1% Stock, Just Catapulted After Inking A 'Damn Good' Deal
Investor's Business Daily
by ALLISON GATLIN
12/05/2024
https://www.investors.com/news/technology/soundhound-stock-ai-voice-technology-torchys-tacos/?src=A00220
SoundHound stock's rally continued Thursday as the shares soared again as the voice AI company announced a deal with Torchy's Tacos — the maker of "damn good tacos" — to use its voice AI technology at all 130 of the restaurant's locations.
Santa Clara, Calif.-based SoundHound AI (SOUN) went public in 2022. The company provides AI voice tech to devices, business kiosks and call centers. It's also gaining traction in the restaurant industry, where SoundHound has also signed deals with Chipotle, Jersey Mike's, White Castle, Panda Express and Church's Texas Chicken.
Now, Torchy's Tacos is signing onto the trend. Torchy's describes itself as a "cult-favorite taco chain." It makes items like the "trailer park taco" and the "green chile queso."
"At Torchy's Tacos, we want our guests to have the best experience every time they engage with the brand," Thai Tran said in a written statement. Tran is Torchy's chief technology officer. "Partnering with SoundHound and using their Smart Ordering system, we are able to give guests another way to easily order our food."
SoundHound, which had been a sleepy stock, suddenly was in the Wall Street spotlight after AI giant Nvidia (NVDA) disclosed that its has taken an investment stake in the company.
"We think every product is going to benefit from voice AI," SoundHound Chief Executive Keyvan Mohajer told Investor's Business Daily in a recent interview. "And then every service also is going to benefit from an AI agent. Those are the two pillars of our business."
In afternoon trades, SoundHound stock surged more than 30% to 13.20. That put shares within striking distance of their intraday record high at 18.14, achieved in May 2022. SoundHound shares are also well above their 50-day and 200-day moving averages, MarketSurge chart analysis shows.
Shares have a perfect IBD Digital Relative Strength Rating of 99. This means SoundHound stock ranks in the leading 1% of all stocks when it comes to 12-month performance.
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>>> Innodata Inc. (INOD) operates as a global data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. The company operates through three segments: Digital Data Solutions (DDS), Synodex, and Agility.
The DDS segment engages in the provision of artificial intelligence (AI) data preparation services; collecting or creating training data; annotating training data; and training AI algorithms for its customers, as well as AI model deployment and integration services. This segment also provides a range of data engineering support services, including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management.
The Synodex segment offers an industry platform that transforms medical records into useable digital data with its proprietary data models or client data models.
The Agility segment provides an industry platform that offers marketing communications and public relations professionals to target and distribute content to journalists and social media influencers; and to monitor and analyze global news channels, such as print, web, radio, and TV, as well as social media channels. It serves banking, insurance, financial services, technology, digital retailing, and information/media sectors through its professional staff, senior management, and direct sales personnel.
The company was formerly known as Innodata Isogen, Inc. and changed its name to Innodata Inc. in June 2012. Innodata Inc. was incorporated in 1988 and is headquartered in Ridgefield Park, New Jersey.
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https://finance.yahoo.com/quote/INOD/profile/
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>>> Where Will SoundHound AI Be in 1 Year?
Motley Fool
By Chris Neiger
Dec 1, 2024
https://www.fool.com/investing/2024/12/01/where-will-soundhound-ai-be-in-1-year/
Key Points
The company is successfully tapping into conversational AI.
SoundHound AI's losses are narrowing.
The stock is relatively expensive right now.
The rapidly expanding artificial intelligence (AI) market is fueling growth among many tech companies, and SoundHound AI's (SOUN) strong position in voice-enabled products and services is benefiting from the trend.
SoundHound's stock has soared more than 250% over the past 12 months (as of this writing), leaving some investors wondering where the company will be one year from now. So, let's take a closer look at what's happening with SoundHound and what investors might expect from the company in the coming year.
How SoundHound is doing right now
SoundHound has successfully expanded its business lately, moving into new conversational AI markets and boasting more than 200 enterprise brands using its tech, including Chipotle Mexican Grill, Qualcomm, and Stellantis' automotive brands.
The popularity of its voice AI platform is evident from the company's third quarter (which ended Sept. 30) results, in which revenue rose 89% from the year-ago quarter to $25.1 million, outpacing analysts' consensus estimate of $23 million. SoundHound's non-GAAP loss per share of $0.04 was an improvement from a loss of $0.06 in the year-ago quarter and ahead of Wall Street's expectation of a loss of $0.08.
Not only were the company's third-quarter results solid, but SoundHound's revenue growth is likely to continue. Management recently issued 2024 revenue guidance of $83.5 million for the full 2024 year at the midpoint and then increased to $165 million in 2025. That represents substantial year-over-year sales growth for the company and outpaces analysts' consensus estimate of $152.1 million in revenue for 2025.
SoundHound's opportunity and one word of caution
SoundHound is already successfully tapping into the AI market, and its momentum comes as large companies ramp up their AI spending. According to SoundHound's management, companies will invest an estimated $175 billion to $250 billion in AI enterprise spending by 2027.
This could provide SoundHound with new growth opportunities over the coming year and beyond. The company just closed on its acquisition of Amelia, giving it more avenues for conversational AI growth in finance, healthcare, and insurance that haven't been tapped fully into.
But there are two things investors should be cautious about with SoundHound right now. The first is that the company isn't profitable. The company's losses narrowed in the third quarter, and analysts estimate the company's loss per share will continue to improve from $0.38 in 2024 to $0.27 in 2025. That's good news, but it'll take time for the company to reach profitability.
More importantly, SoundHound's stock is relatively expensive right now. The company's shares trade at a price-to-sales ratio of 35.9, which is far above the S&P 500's average of about 3.1.
That doesn't mean SoundHound's stock doesn't have more room to run, but some of the company's future benefits from an expanding AI market are likely baked into its current share price. So, if you're bullish on the company's long-term opportunity, adding a small position now and buying more shares if there's a pullback in the stock price might be a good strategy.
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>>> Nvidia's Latest Move Just Gave Supermicro Investors Some Epically Bad News
Motley Fool
by Adam Spatacco
November 10, 2024
https://finance.yahoo.com/news/nvidias-latest-move-just-gave-171500728.html
There has been no other company in the artificial intelligence (AI) realm that's been watched as closely as Nvidia (NASDAQ: NVDA) over the last couple of years. Nvidia's role in the AI narrative is so prominent that any announcement the company makes has the power to swing the capital markets at this point.
As the company's upcoming launch of its new Blackwell graphics processing unit architecture (GPU) looms, all eyes are on Nvidia and its partner network. Super Micro Computer is one player that's been a direct beneficiary of Nvidia's booming GPU business over the last two years.
However, some recent reporting suggests that Nvidia may be migrating away from its reliance on Supermicro's IT infrastructure and looking for partnerships elsewhere.
Let's break down the situation and assess what could be influencing Nvidia's decisions. Moreover, I'll explore how this news has been impacting Supermicro stock and what it could mean for investors in both the near and long term.
What did Nvidia just do?
The launch of the Blackwell chips may be the most hyped-up AI event of 2024. Nvidia CEO Jensen Huang has boasted that demand for the new chipsets is "insane." Meanwhile, Morgan Stanley's research team is forecasting $10 billion in sales from Blackwell just in the fourth quarter. While all of this is good news on the surface, there are some wrinkles unfolding in the background that smart investors should be keen on watching.
According to an article posted on Digitimes, Nvidia is said to be routing Blackwell orders away from Supermicro in favor of other IT architecture specialists.
Why is Nvidia moving away from Supermicro?
The last couple of months have been brutal for Supermicro.
Back in August, Supermicro became the subject of a short report published by Hindenburg Research. Hindenburg alleges that Supermicro's accounting controls are weak — essentially implying that something fishy could be going on with its bookkeeping and potentially the financial outlook of the company.
To be honest, I didn't think much of Hindenburg's allegations at the time. After all, short-sellers have a vested interest in seeing a stock price decline — which is exactly what happened following the short report.
However, Supermicro ended up delaying its annual report following the Hindenburg report. While this wasn't the best look, I remained cautiously optimistic about Supermicro. But then, in late October, Supermicro filed an 8-K to notify investors that its auditor, big four accounting firm Ernst & Young, had resigned.
Considering how much is on the line with anything related to Blackwell, it's not surprising to learn that Nvidia is reorganizing its supply chain protocols. For now, Supermicro's top priorities should be to mitigate any further drama and get its audit and annual filing under control. Unfortunately, I think any work related to Blackwell just adds additional pressure on Supermicro right now, and a failure to execute would only result in more drama surrounding the company.
What should investors look at from here?
It's hard to know the exact magnitude that Nvidia's Blackwell orders were for Supermicro. Supermicro operates in a highly intensive environment and is far from the only company specializing in storage clusters and server rack designs for data centers.
Since the Hindenburg report was published, shares of Supermicro are down 58% (at the time of this writing). So, while migrating Blackwell orders away from Supermicro will decelerate the company's growth and signal an extra kernel of unwanted news, there's an argument to be made that its impact is already baked into the company's share price to some degree.
Conversely, shares of Nvidia have been experiencing quite a bit of momentum as of late. In fact, as of the time of this article, Nvidia is the most valuable company in the world by market cap, eclipsing Apple by roughly $200 billion.
I think this price action speaks volumes about how excited investors are for Blackwell and what management may reveal later this month when Nvidia reports third-quarter earnings on Nov. 20. I'm curious to learn if moving orders away from Supermicro will have any material impact on shipments of Blackwell, and if so, how that will impact Nvidia's growth in the near term.
For now, shares of both Supermicro and Nvidia are experiencing outsized volatility, and I think it's in the best interest of investors to sit on the sidelines and let the near-term narratives surrounding Blackwell continue to unfold. AI is a long-term theme, and investors will have ample opportunities to invest in either Nvidia or Supermicro at more prudent times and reasonable price ranges.
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>>> Palantir Blasted to a New All-Time High Today. Is the Stock Still a Buy?
by Danny Vena
Motley Fool
November 5, 2024
https://finance.yahoo.com/news/palantir-blasted-time-high-today-185923132.html
After a week or so when investors were more focused on the stock's lofty valuation and concerns about the momentum of artificial intelligence (AI) adoption, Palantir Technologies (NYSE: PLTR) delivered a third-quarter report on Tuesday morning that helped the stock shake off its brief malaise and sent it sharply higher. In fact, it rose by as much as 24.1% and hit a new all-time high. As of 1:51 p.m. ET, the stock was still up by 22.2% for the day.
After a jump of that magnitude, some investors may wonder if it's simply too late to buy the stock.
Bullish signals abound
Palantir has been on a blistering rally since the advent of generative AI early last year, with the stock up by around 689% (as of this writing). The company's AI-powered data mining solutions were already used widely by agencies of the U.S. government and its allies, but the debut of Palantir's Artificial Intelligence Platform (AIP) has taken its U.S. commercial revenue to the next level.
Some analysts and industry watchers have expressed concerns as to whether the company's growth streak could continue, but the seemingly insatiable demand for AI solutions was evident in Palantir's latest results. In the third quarter, revenue grew 30% year over year to $726 million, far outpacing the high end of management's forecast and analysts' consensus estimates, which were both at roughly $701 million.
The results were fueled by U.S. commercial revenue, which soared by 54% and now accounts for 25% of total revenue. Furthermore, its U.S. commercial customer count climbed by 79%. The company's potential to expand its user base well beyond its defense and intelligence industry roots is seen as critical to Palantir's future success, and its progress in that regard has been undeniable. Additionally, the company's profits continued to expand as earnings per share (EPS) climbed 43%.
The quintessential question
The issue of Palantir's valuation remains. Wall Street is forecasting EPS of $0.43 next year, which means the stock is still selling for more than 100 times forward earnings -- so it won't be a fit for every investor.
However, Palantir maintains a unique position in the AI ecosystem, having perfected its craft over more than two decades. Its "boot camps" give potential customers a way to work side by side with Palantir engineers to see how they would develop AI solutions that are directly relevant to their business needs.
I am confident in Palantir's prospects, which is why I've been adding to my position. For those who are leery of its valuation, I would suggest using a dollar-cost averaging strategy or buying on any weakness.
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>>> AI darling Super Micro Computer could get booted off the Nasdaq as the stock plunges another 15%
Quartz
by Vinamrata Chaturvedi
October 31, 2024
https://www.yahoo.com/tech/ai-darling-super-micro-computer-151354891.html
Shares of Super Micro Computer (SMCI) fell an additional 15% on Thursday, trading at $28 per share, following the resignation of auditor Ernst & Young. Although the server company joined the S&P 500 in March 2024, this year hasn’t been smooth, and now it faces potential delisting from the Nasdaq. After receiving a non-compliance letter in September, Super Micro has until November 16 to submit a plan to Nasdaq to regain compliance, or it could face delisting for the second time in five years.
Meanwhile, Mizuho Securities analyst Vijay Rakesh has maintained a neutral rating and a $45 stock price target amid concerns over the company’s internal financial controls.
The company faced a recent setback when its accountant, Ernst & Young, decided to resign after months of disagreement over Super Micro Computer’s governance practices and board independence.
The conflicts between Ernst & Young and Super Micro Computer began in late July, as the auditor raised concerns regarding the company’s internal financial controls, governance, and transparency. In response, Super Micro formed a special board committee to investigate the issues. But Ernst & Young ultimately concluded it could no longer stand behind the company’s financial statements.
In its resignation letter, EY said it was “unwilling to be associated with the financial statements prepared by management,” citing recent information that allegedly made it impossible to rely on representations from Super Micro’s executives and audit committee.
A rollercoaster year for SMCI
The San Jose-based IT company, which makes hardware that supports AI applications, thrived this year due to the high demand for AI and entered the Fortune 500 at No. 498. As a key partner and reseller of Nvidia’s (NVDA) GPUs and other components, Super Micro integrates its technology into its servers to support AI workloads. Super Micro CEO Charles Liang and Nvidia CEO Jensen Huang are both Taiwanese immigrants and have a long-standing relationship.
Super Micro Computer went through a rough phase in September when a short seller, Hindenburg Research, published a scathing report accusing the company of accounting red flags and questionable business dealings, including alleged sanctions evasion from exports to Russian and Chinese firms.
Following these accusations, Super Micro’s stock price took a significant hit. The company refuted the claims, stating that the report contained misleading and inaccurate information and that it would address the allegations in due course.
Despite the recent sharp downturn, the firm’s current price remains nearly 13% higher than it was a year ago.
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>>> Super Micro shares tumble following disturbing news
The Street
by Rob Lenihan
October 30, 2024
https://finance.yahoo.com/news/super-micro-shares-tumble-following-223300660.html
Analysts at Needham had seen enough.
The investment firm said on Oct. 30 that it was suspending its buy rating of Super Micro Computer (SMCI) shares after the maker of liquid-cooled artificial-intelligence servers said its auditing firm, Ernst & Young, had resigned.
Super Micro said in a Securities and Exchange Commission filing that the auditor had delivered its decision in a letter to the company's audit committee.
"We are resigning due to information that has recently come to our attention which has led us to no longer be able to rely on management’s and the Audit Committee’s representations," Ernst & Young said.
The Big 4 accounting firm said it was "unwilling to be associated with the financial statements prepared by management, and after concluding we can no longer provide the audit services in accordance with applicable law or professional obligations.”
Shares of the San Jose, Calif., company, which hit a record $122.90 in March, plummeted 34% to $32.42 at last check.
Analysts concerned about Super Micro's financial statements
Ernst & Young had been engaged last year to perform an audit for the fiscal year ending June 30, and it did not issue any report on the company’s financial statements or its internal control over financial reporting.
The accounting firm told the audit committee in late July about concerns about several matters “relating to governance, transparency and completeness of communications to EY, and other matters pertaining to the company’s internal control over financial reporting, and that the timely filing of the Company’s annual report was at significant risk."
EY expressed concerns about the Super Micro’s board independence from the president and CEO of Super Micro and other members of management
In response, the filing said, the board appointed an independent special committee to review EY’s concerns. The review continues and final findings and recommendations have not yet been communicated to EY or the board.
While Super Micro said it did not agree with EY's decision to resign, the company said it took EY's concerns seriously and would "carefully consider" the special committee's findings.
Needham suspended its rating on the company following news of Ernst & Young's resignation, according to The Fly.
The investment firm said that not only did the accounting firm's action “raise considerable questions about the validity of Super Micro's current and past financial statements but it also raises significant questions about Super Micro's corporate governance and management's commitment to integrity and ethical values.”
Needham had initiated coverage of Super Micro on Sept. 18 with a price target of $600 a share.
Super Micro said it did not currently expect that resolution of any of the matters raised by EY, or under consideration by the special committee, would result in restatements of its quarterly reports for fiscal 2024 ended June 30 or for prior fiscal years.
EY earlier this year said it was cutting ties with many U.S. public companies in a move to revamp its auditing practice and improve the quality of its work, the Journal said.
EY has dropped dozens of clients since the start of last year, including drugmaker Catalent and hydrogen truck maker Nikola.
Short-seller found 'glaring accounting red flags'
The filing is the latest chapter in the Super Micro saga.
Last month, The Wall Street Journal reported that the U.S. Department of Justice was investigating the company after short-seller Hindenburg Research alleged "accounting manipulation" at the AI-server maker.
Needham says Ernst & Young's resignation is likely to bolster the DoJ's investigation into Super Micro, which carries its own risk, and it sees increased default risk associated with the company's term loan agreement with Bank of America.
In August, Hindenburg released a scathing report on SMCI, saying that it had “found glaring accounting red flags, evidence of undisclosed related party transactions, sanctions and export control failures, and customer issues.”
After Hindenburg Research announced its findings, Super Micro delayed the filing of its annual report.
Super Micro's shares soared on Oct. 7 after the company said it had deployed more than 100,000 graphics-processing units with liquid cooling solutions “for some of the largest AI factories ever built, as well as other [cloud-service providers]."
“Early this year, Super Micro Computer was one of the AI craze darlings, running a rough 345% from early January to early March,” TheStreet Pro’s Stephen Guilfoyle wrote on Oct. 8. "Was that nuts? Sure. Things really got nuts after the apex of the share price, though."
The veteran analyst, whose career stretches back to the 1980s on the floor of the New York Stock Exchange, said the stock was added to the S&P 500 and the Nasdaq 100 and the company declared a 10-for-1 stock split when it reported its June-quarter financial results in early August.
Guilfoyle noted that "this is a whole lot of baggage where the outcomes remain uncertain."
"That is quite a bit to overlook when putting valuable capital to work," he said.
Super Micro did not immediately respond to a request for comment.
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Advanced Nuclear - >>> Big Tech investments reignite debate over advanced nuclear reactors
Yahoo Finance
by Akiko Fujita
October 27, 2024
https://finance.yahoo.com/news/big-tech-investments-reignite-debate-over-advanced-nuclear-reactors-133016399.html
Small modular reactors (SMRs) have long held the promise of cheaper, more efficient nuclear energy. Their smaller, standardized designs were expected to usher in a new era for an industry historically plagued by cost overruns and safety concerns.
But as major tech firms, including Google (GOOG) and Amazon (AMZN), turn to advanced technologies in hopes of powering their AI ambitions with a low carbon footprint, skeptics are raising questions about their viability, largely because no commercial SMR has been built in the US yet.
Despite the talk of a simplified process, there are only three SMRs operational worldwide — two in Russia and one in China.
"Nobody knows how long they’re going to take to build," said David Schlissel, an analyst at the Institute for Energy Economics and Financial Analysis who has been critical of SMRs. "Nobody knows how expensive they’re going to be to build. We don't know how effective they will be in addressing climate change because it may take them 10 to 15 years to build them."
Nuclear power has received renewed interest because of the global push to move away from fossil fuels to reduce harmful emissions driving climate change. Although wind and solar power offer prevalent, low-cost energy options, nuclear remains an attractive clean alternative, in large part because it can run 24/7 in any season and has a smaller footprint.
SMRs have offered the most promise. Unlike traditional nuclear plants that have been costly and time-consuming, modular reactors are one-third the size, with a power capacity of 300 megawatts or less. The nuclear industry has touted their efficiency and cost savings, as SMRs are built in factories and assembled on-site.
"It reduces the risk associated with the project," said Jacopo Buongiorno, a professor of nuclear engineering at MIT. "For an investor, ... you may recover your investment quicker and with fewer uncertainties in terms of project execution."
'The technology is evolving'
Yet, in many ways, the hurdles facing this new generation of reactors have mirrored the old. Advanced reactor designs have taken longer than projected. Those delays have added to cost overruns.
Oregon-based NuScale (SMR) became the first company to get approval from the Nuclear Regulatory Commission to build SMRs in 2022, but the company canceled plans to deploy six reactors in Idaho last year. The announcement came after costs for the project, scheduled for completion in 2030, ballooned from $5 billion to $9 billion.
Buongiorno said the buildout has been complicated by the array of technologies tested within individual projects. While all SMRs utilize uranium as fuel, its form and application within reactors differ depending on the company and its technology. That’s dramatically different from existing nuclear power plants, which all use uranium dioxide, he said.
“The technology is evolving. We expect the performance of these reactors to be different. But the big question marks are ... what's going to be the reliability? How reliable this technology is going to be, given that we don't have a lot of experience?” Buongiorno said. “Equally, if not more important, what's going to be the cost?”
AI a 'game changer'
X-energy CEO Clay Sell said demand has been part of the problem until now.
Artificial intelligence has changed that calculation, largely because of the energy needs associated with powering data centers that drive AI models, Sell said. Goldman Sachs estimates the advanced technology will contribute to a 160% increase in data center power demand by 2030.
Earlier this month, Amazon announced a $500 million investment in the development of SMRs, including funding for X-energy. That funding will help X-energy complete the design of its standard plant and construct the first facility that will manufacture the fuel used in those plants, Sell said, calling the investment a “game changer.”
“A significant portion of the increased electricity demand in the United States for the next 25 years is going to come from AI," Sell said. "It could be as high as 10%, 20%.”
Kairos Power CEO Mike Laufer, who inked a purchase agreement deal with Google, said his company is still in the process of pursuing non-nuclear demonstrations of the technology. Any “cost certainty” would hinge on a successful demonstration and the company’s ability to manufacture in-house, he said.
“[Cost certainty] has been very elusive in this space,” he said.
There are other challenges beyond cost, including a lengthy regulatory approval process and what to do with all of the nuclear waste.
While nuclear companies maintaining a smaller footprint will mean less waste, a study by Stanford University found that SMRs would increase the volume of nuclear waste “by factors of 2 to 30.”
Schlissel argues that all of the money spent on small reactors should instead go to wind and solar power and battery storage, which are proven to reduce carbon emissions and cost less to produce.
Buongiorno countered that nuclear reactors have a longer shelf life. While the upfront costs may be higher, reactors have a lifespan of 60 to 100 years, he said. With the smaller footprint, SMRs can also be built closer to data centers, minimizing infrastructure costs, he added.
The Department of Energy says nuclear energy is critical to transitioning the country away from fossil fuels. The agency has set aside $900 million in funding for the development of SMRs.
The Energy Department estimates the US will need approximately 700-900 GW of additional clean, firm power generation capacity to reach net-zero emissions by 2050, adding that nuclear energy already provides nearly half of carbon-free electricity in the country.
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$CBDW: Adnexus Biotechnologies Unveils Sutra(TM), a Game-Changing AI Platform for Drug Discovery and Infectious Disease Research
DALLAS, TX / ACCESSWIRE / October 1, 2024 / Adnexus Biotechnologies Inc., a pioneering company in Artificial Intelligence-driven innovations for early drug discovery and infectious disease research, is pleased to announce its new AI Empowered Drug Discovery Platform, Sutra™.
https://www.accesswire.com/imagelibrary/0ba2a55f-87c0-4f57-b991-9a3a312c6109/925182/12084.png
The Sutra™ AI platform has not just confirmed decades of work, but also added new targets for monoclonal antibodies within weeks, receiving independent validation of their potential from collaborators. Adnexus Biotechnologies Inc.'s AI algorithms have identified several promising drug candidates. The company has identified a target in the mitochondrial metabolism that has a role in oncology. The company then adds them to an ever-growing IP portfolio, including patents, trademarks, and trade secrets, enhancing its competitive advantage and potential for future revenue. The success and validation of the Sutra™ AI platform for AI-discovered drugs are testaments to its capabilities and the future it promises.
Adnexus Biotechnologies Inc. is dedicated to pushing the boundaries of drug discovery with its AI Drug Discovery (AIDD) player, Sutra™. With its AI-powered structure prediction algorithms, this platform has the potential to revolutionize drug discovery. It can design small molecules, optimize the design of antibodies and other proteins, and even repurpose drug molecules. With a database of 19 viruses, the Sutra™ AI platform can predict and help prevent future pandemics. With access to a curated library of 8 million molecules, the platform makes possible the discovery of new drugs that precisely target neutralizable epitopes on viruses to enhance the potency and efficacy of existing therapies. The Sutra™ team's unwavering dedication to leveraging microbiome samples to identify new biomarkers for neurodegenerative diseases instills hope for future medical breakthroughs.
Adnexus Biotechnologies Inc. harnesses the power of AI to revolutionize drug repurposing, offering a cost-effective alternative to developing new drugs from the ground up. Drug repurposing involves identifying potential new applications for existing compounds, which can be time-consuming and labor-intensive. However, AI algorithms can analyze existing drug databases and identify potential new applications for these compounds in a fraction of the time, making it a game-changer in the pharmaceutical industry. Adnexus is exploring synergizing AI with suitable linkers between antibodies and drugs to promote multi-drug combinations. This approach will bring new therapeutics to market with more substantial impacts than combination therapies and address unmet medical needs, expediting drug discovery and regulatory approvals.
Gaurav Chandra, the CEO of Adnexus Biotechnologies Inc., stated, "Our innovative use of AI reflects a broader trend toward embracing advanced technologies to overcome traditional limitations in the biotech industry. We are very excited about our AI-empowered drug discoveries. Adnexus is proud to introduce and implement the latest Artificial Intelligence innovations in research and development technology-keeping the company at the forefront of early drug discovery and development and other revolutionary discoveries critical to treating infectious diseases."
Dr. Chandra continued, "As we advance our HIV therapeutics, we intend to offer our expertise as unique SAAS and DAAS revenue-generating models by next year. This strategic move is part of our commitment to pursuing multiple revenue-generating strategies to broaden our offerings and support academic and biotechnology companies in advancing their scientific endeavors. This commitment underscores our financial stability and growth potential."
Adnexus has recently executed a Letter of Intent with 1606 Corp (OTC PINK:CBDW), an AI technology company, for a strategic investment in the company.
About Adnexus Biotechnologies Inc.
Adnexus is a leading innovator in biotechnology, specializing in AI-driven solutions for early drug discovery, infectious disease, and neurodegenerative disease research. Its proprietary methods focus on developing therapeutic solutions by leveraging human immune-B cells, offering a cutting-edge approach to creating highly effective treatments. For more information, please visit https://www.adnexusbiotech.com.
Industry Information
The global market size for artificial intelligence in drug discovery was estimated at USD 1.5 billion in 2023 and is projected to grow at a CAGR of 29.7% from 2024 to 2030. The demand for AI-powered solutions in drug discovery is increasing due to the need for new drug therapies, expanded manufacturing capacities in the life sciences industry, and technological advancements. AI technologies such as machine learning and deep learning are being used at various stages of drug discovery, including initial compound screening and predicting success rates in clinical trials. Additionally, the growth of startups developing AI-powered solutions and increased investments and funding drive market expansion.
Forward-Looking Statements
This press release includes forward-looking statements under federal securities laws, including projections and expectations regarding business developments, operations, and market conditions. These statements are identified by terms such as "should," "may," "intends," "anticipates," and others. While based on reasonable assumptions, results may differ due to various risks and uncertainties. Please review cautionary statements and disclosures in our filings with the SEC. Adnexus does not undertake any obligation to update forward-looking statements except as required by law.
For inquiries, please get in touch with Dr. Gaurav Chandra, CEO, gaurav.chandra@adnexusbiotech.com.
https://www.adnexusbiotech.com
http://www.cbdw.ai
Contact Information
Gaurav Chandra
CEO
gaurav.chandra@adnexusbiotech.com
SOURCE: Adnexus Biotechnologies Inc.
>>> Palantir Stock: Buy at the High?
Motley Fool
by Adria Cimino
10-13-24
https://www.msn.com/en-us/money/companies/palantir-stock-buy-at-the-high/ar-AA1sbkRG?ocid=BingHp01&cvid=c84ba7cc72cb49af892e18afa2a58939&ei=93
Palantir Technologies (NYSE: PLTR) has become one of the latest companies to stand out in the high-growth area of artificial intelligence (AI). Even though this technology player has been around for about 20 years, earnings have truly taken off in recent times. This is thanks to Palantir's Artificial Intelligence Platform (AIP), launched just last year, along with a surge in interest from commercial customers -- in the past Palantir was most associated with government contracts.
And all of this has helped Palantir stock to soar 150% so far this year. In fact, the stock has reached its highest level ever, trading at valuations many would call expensive and well surpassing Wall Street's average price estimate of about $28. At this point, is it a good idea to hold off on buying this high-momentum stock, or should you buy Palantir at the high? Let's find out.
Helping make data a game-changer for customers
First, a little background on Palantir's path so far. The software company helps governments, companies, and organizations aggregate their data in order to make the best use of it. While this many not sound exciting, it actually is -- and often delivers results that are game-changing and/or help a customer register enormous savings in costs and gains in efficiency.
For example, Palantir's systems for Cleveland Clinic help optimize patient placement, forecast bed availability, and boost overall efficiency at the hospital. United Airlines is using Palantir to help it manage equipment issues -- to ensure maximum uptime. Since the launch of this predictive maintenance system, Palantir has helped United save millions of dollars through the avoidance of flight delays and cancellations.
In Palantir's earlier days, government contracts drove growth, and the company steadily but slowly increased revenue. But in more recent times, and with the launch of AIP, Palantir has posted double-digit revenue growth and has seen a massive gain in its commercial business -- so that U.S. commercial growth now surpasses that of government revenue growth.
In the most recent quarter, U.S. commercial revenue advanced 55% to $159 million and U.S. commercial customer count jumped 83% to nearly 300. It's important to remember that Palantir had only 14 U.S. commercial customers four years ago -- so growth here truly has surged. Government revenue also continues to make impressive gains, climbing 23% in the quarter, so the company can count on both its traditional revenue driver as well as the new source of gains found in the commercial business.
"Unbridled demand"
Considering AIP launched rather recently, we're in the early stages of this platform's growth story, and this is reinforced by demand so far. The "persistent and unbridled demand... shows no sign of relenting," chief executive officer Alex Karp wrote in a recent shareholder letter.
Palantir has devised a genius way of getting new customers on board. The company has created AIP boot camps to introduce the platform and help potential users spin up a use case in mere hours. In Palantir's latest earnings call, the company said it closed a seven-figure deal with a big wholesale insurance broker about two weeks after a boot camp -- and this isn't an isolated event. So, the bootcamp system is working and driving significant growth.
Finally, in the latest quarter, Palantir brought in $134 million in net income -- its highest quarterly profit ever.
Should you buy Palantir now?
All of this paints a bright picture for Palantir today and offers us reason for optimism about the future. But should you really buy Palantir at the high? The stock today looks expensive, trading at more than 122x forward earnings estimates. That makes it pricier than any of the Magnificent Seven stocks, the technology players that drove stock market gains earlier this year.
The answer to our question has to do with your investment style. If you're a value investor, Palantir isn't the right stock for you, and if you're a growth investor focused on bargains, you probably wouldn't choose Palantir at these levels. But if you're a growth investor who doesn't mind paying more for a stock today -- with the idea that the earnings picture could change greatly, in a positive way, in the years to come -- then Palantir may be a good choice for you.
Palantir is in the early days of this new growth story, led by AIP and new demand from commercial customers, and the AI market is in its early days of growth too. Today's $200 billion AI market may reach $1 trillion by the end of the decade. All of these elements together suggest that even if you buy Palantir right now at the high, you could still have a lot to gain over the long term.
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>>> Super Micro Computer stock surges 15% on big AI demand
Quartz
by Britney Nguyen
October 7, 2024
https://www.yahoo.com/tech/super-micro-computer-stock-surges-190536426.html
Server company Super Micro Computer (SMCI) unveiled a new liquid cooling solution for AI data centers on Monday, while also revealing it’s shipping over 100,000 graphics processing units (GPUs) quarterly — news that sent its stock climbing more than 15% in midday trading.
Based on current market prices for high-end AI GPUs, which can range from $10,000 to $40,000 each, Super Micro’s quarterly GPU shipments could represent a potential revenue stream of $1 billion to $4 billion. The server company’s shares are up 65.43% so far this year.
This significant GPU shipment volume dovetails with Super Micro’s advancements in cooling technologies for AI infrastructure. The company’s cooling solutions are “reducing costs and improving performance” at “state-of-the-art AI factories,” Charles Liang, chief executive of Super Micro, said in a statement. The company also said it has “recently deployed” over 100,000 GPUs with its liquid cooling solution to “some of the largest AI factories ever built.”
“The combination of Supermicro deployment experience and delivering innovative technology is resulting in data center operators coming to Supermicro to meet their technical and financial goals for both the construction of greenfield sites and the modernization of existing data centers,” Liang said.
In August, Super Micro’s shares fell 22% after it was accused of accounting manipulation and other questionable business deals by short-seller Hindenburg Research. The three month investigation found “glaring accounting red flags, evidence of undisclosed related party transactions, sanctions and export control failures, and customer issues,” the report said.
Super Micro saw its shares fall over 13% in May after it missed analysts’ expectations for revenue in the third quarter. The company reported revenue of $3.85 billion in the fiscal third quarter, falling below Wall Street’s expectations of $3.95 billion. However, its revenue was more than double revenue of $1.28 billion from the previous year.
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SMCI - >>> Meet the New Stock-Split Stock That Outperformed Nvidia in the First Half and Wall Street Thinks Could Almost Double
by Adria Cimino
Motley Fool
Sep 20, 2024
https://finance.yahoo.com/news/meet-stock-split-stock-outperformed-084000909.html
Nvidia has been a tough act to follow in recent years. The artificial intelligence (AI) chip giant has delivered triple-digit increases in earnings quarter after quarter, and the share price has followed. Nvidia stock has soared more than 2,400% over the past five years, and considering the company's focus on innovation, this stellar performance may continue.
Though Nvidia has garnered the greatest share of investor attention in recent times, another tech player actually outperformed this AI powerhouse in the first half of the year. And this company followed in Nvidia's footsteps recently by announcing a stock split, a move to bring a high-flying share price down to earth -- and make the stock more accessible for a broader range of investors.
Now, Wall Street predicts this player's gains may be far from over. Let's meet the new stock-split stock that analysts think could nearly double within the coming 12 months...
.
A triple-digit first-half gain
And this stock is Super Micro Computer (NASDAQ: SMCI), a company that saw its stock price soar 188% in the first half, surpassing Nvidia's 149% increase. Though individual forecasts vary, the average Wall Street estimate calls for the stock to climb 90% from today's level.
It's important to note that this once high-flying stock has been wading through difficult waters in recent weeks. A short report released by Hindenburg Research, alleging troubles at the company, has weighed on the shares. In an unrelated move, Supermicro delayed the filing of its 10-K annual report, and this has represented an additional headwind.
I see these as short-term pressures, but they don't change Supermicro's long-term story. And considering the 20% decline in the stock since the short report, it looks dirt cheap right now -- it trades for only 13 times forward earnings estimates, down from more than 45 times earlier in the year.
In recent days, some analysts have highlighted the potential of Supermicro. For example, Needham rated Supermicro a buy in new coverage of the stock -- and Needham expects a gain of 37% in the months to come.
Why should we be so optimistic about Supermicro? First, the company has proven its ability to dominate in the area of full rack scale solutions for data centers. Supermicro's servers and other products share many common parts so the company can more quickly build a particular item to suit a customer's needs. The equipment maker also works very closely with all of the top chipmakers -- including Nvidia -- so that it can immediately include their innovations in its products. This has helped revenue in one single quarter surpass annual revenue as recently as 2021.
Supermicro's big opportunity
Second, Supermicro now faces a major opportunity that could launch a whole new wave of lasting growth for the company. One of the biggest problems facing the data centers of today and tomorrow is the fact that AI workloads produce excessive heat. Supermicro's direct liquid cooling (DLC) technology, once a slow-growth business, now promises to offer explosive growth.
The company predicts that within the coming 12 months, 25% to 30% of data centers will be equipped with DLC, and Supermicro will dominate this market. At the same time, Supermicro is preparing for demand for DLC and its equipment in general as it brings online its Malaysia facility -- one that will focus on volume and speed.
Considering forecasts of an AI market to reach $1 trillion by the end of the decade, and the key role of data centers in all of this, Supermicro's revenue could continue to climb for quite some time.
As for the stock split, Supermicro will trade at its new split-adjusted price as of Oct. 1. This won't change anything fundamental about the company or stock -- valuation and market value remain the same. So, it won't act as a catalyst for share performance, but it is a positive move as it will make it easier for more investors to buy the stock over time.
All of this represents a lot of positive points for Supermicro, setting the stage for major growth potential -- and making it a fantastic stock to buy on the dip.
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$IDVV News: International Endeavors Corp. Announces Corporate Update
Las Vegas, Nevada--(Newsfile Corp. - September 18, 2024) - International Endeavors Corp. (OTC Pink: IDVV) ("IEC"), a technology holdings company announced the following update regarding progress made in its products and services.
Winners Waygers AI
The Winners Waygers beta service has been a success. Recently it has surpassed 4000 subscribers for its AI beta mode, and has crossed 50 subscribers for its professional service. We still anticipate reaching up to 100 pro subscribers by year end.
We are planning a couple things in the short term.
1) A video demonstration of how professionals use the AI
2) Development of a section on the site that allows pros to publish their picks to paid subscribers, creating additional revenue for WITech.
AI and Futures Trading
We are proud to announce that we have revived the AI trading service. The project was slowed down by previous management due to volatility and the resources required. Recent events such as the new ETF listings have allowed us to revive the project. We are currently developing an automated trader that trades listed ETFs as well as futures including the Mini and Micro S&P. We anticipate the service being available in November of this year.
WITech Professional Services
The WITech division of IDVV has been servicing several clients, providing custom automation and bots in Financial, and Health & Wellness sectors. We have expanded to the medical sector and are currently working on an LOI for the development of AI tools we believe will help scientists in R&D stages of drug development.
We encourage everyone to follow us.
Twitter
https://twitter.com/IDVVcorp
Website(s)
https://witech.ai
https://IDVVCORP.COM
https://winnerswaygers.com
About Us
International Endeavors Corporation ("IEC") is a technology holdings company.
The Company currently is reporting its financial information on OTCMarkets.
Our filings can be seen at https://www.otcmarkets.com
Disclaimer
Forward-Looking Statements are included within the meaning of Section 27A of the Securities Act of 1933, and Section 21E of the Securities Exchange Act of 1934, as amended. All statements regarding our expected future financial position, results of operations, cash flows, financing plans, business strategy, products and services, competitive positions, growth opportunities, plans and objectives of management for future operations, including words such as "anticipate," "if," "believe," "plan," "estimate," "expect," "intend," "may," "could," "should," "will," and other similar expressions are forward-looking statements and involve risks, uncertainties and contingencies, many of which are beyond our control, which may cause actual results, performance, or achievements to differ materially from anticipated results, performance, or achievements. International Endeavors Corporation (IDVV) is under no obligation to (and expressly disclaim any such obligation to) update or alter our forward-looking statements, whether as a result of new information, future events, or otherwise.
Contact:
International Endeavors Corporation
Phone: 833-705-0022
Email: otc@idvvcorp.com
SOURCE: International Endeavors Corporation, Inc.
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To view the source version of this press release, please visit https://www.newsfilecorp.com/release/223748
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NVDA, SMCI, AVGO - >>> Step Aside, Nvidia: Billionaires Are Selling It in Favor of 2 Other High-Growth Stock-Split Stocks
by Sean Williams
Motley Fool
September 13, 2024
https://finance.yahoo.com/news/step-aside-nvidia-billionaires-selling-085100760.html
Although artificial intelligence (AI) has been all the rage on Wall Street since 2023 began, excitement surrounding stock splits has given AI a run for its money this year.
A stock split gives publicly traded companies the ability to superficially alter their share price and outstanding share count by the same magnitude. Splits are surface-scratching in the sense that they don't change a company's market cap or in any way affect underlying operating performance.
Although there are two types of stock splits -- forward and reverse -- investors usually gravitate to companies conducting forward splits. This type of split is designed to lower a company's share price to make it more nominally affordable for investors who are unable to purchase fractional shares through their broker. Companies enacting forward splits are usually outpacing their competition from an execution and innovation standpoint.
Since 2024 began, a little over a dozen leading businesses have announced or completed a stock split -- all but one of which was of the forward-split variety.
However, the outlook for some of these premier stock-split stocks is mixed among Wall Street's brightest and richest investors. Based on the latest round of form 13F filings with the Securities and Exchange Commission, billionaires were decisive sellers of cutting-edge AI stock Nvidia (NASDAQ: NVDA) in the second quarter, but were avid buyers of two other high-growth stock-split stocks.
Billionaires continue to reduce their stakes in Wall Street's AI darling
For three consecutive quarters, dating back to the start of October 2023, no fewer than seven billionaire money managers have reduced their respective stakes in Nvidia. The June-ended quarter featured seven billionaire sellers, including (total shares sold in parenthesis):
Ken Griffin of Citadel (9,282,018 shares)
David Tepper of Appaloosa Management (3,730,000 shares)
Stanley Druckenmiller of Duquesne Family Office (1,545,370 shares)
Cliff Asness of AQR Capital Management (1,360,215 shares)
Israel Englander of Millennium Management (676,242 shares)
Steven Cohen of Point72 Asset Management (409,042 shares)
Philippe Laffont of Coatue Management (96,963 shares)
With Nvidia completing its largest-ever forward split (10 for 1) in June, these billionaires might have chosen to ring the register and diversify their respective portfolios. But there looks to be more to this story than simple profit taking.
Although Nvidia has undeniably benefited from its first-mover advantages as the standout supplier of AI graphics processing units (GPUs), competition is now coming at it from all angles.
With the debut of Nvidia's Blackwell chip delayed by at least three months due to reported design flaws and supply chain issues, and the company's prized H100 GPU backlogged, it should be relatively easy for external competitors like Advanced Micro Devices to find strong demand for their AI GPUs.
Moreover, Nvidia's top customers are signaling an eventual reduced reliance on the AI kingpin. Its four largest clients by net sales are all developing AI GPUs that they plan to use in their data centers. Even with Nvidia's chips maintaining their computing advantage, the writing is on the wall that these customers intend to use their cheaper internally developed hardware.
Billionaires might also be spooked by the persistent insider selling at Nvidia. While not all insider selling is necessarily nefarious (e.g., insiders sometimes sell stock to pay their tax bill), it is noteworthy that not one executive or board member has purchased shares on the open market since December 2020.
Lastly, billionaire asset managers might be concerned about what history tells us. Since the advent of the internet roughly three decades ago, every next-big-thing trend has worked its way through an early-stage bubble. It's unlikely that AI is going to be the exception.
But while billionaires were showing Nvidia to the door, they were busy scooping up shares of two other high-growth stock-split stocks.
Super Micro Computer
The first stock-split stock that struck the fancy of six billionaire money managers during the second quarter is Super Micro Computer (NASDAQ: SMCI), a specialist in customizable rack server and storage solutions. These billionaire buyers were:
Israel Englander of Millennium Management (553,323 shares)
Jeff Yass of Susquehanna International Group (508,814 shares)
Ken Griffin of Citadel (98,752 shares)
Steven Cohen of Point72 Asset Management (45,066 shares)
Ray Dalio of Bridgewater Associates (15,777 shares)
Cliff Asness of AQR Capital Management (1,040 shares)
With the stock catapulting to north of $1,200 during the first quarter, it's not in the least bit surprising to see Supermicro's board approving a 10-for-1 forward split, to take effect after trading ends on Sept. 30.
However, the prospect of a stock split isn't the primary draw for billionaires to Supermicro. The lure is the seemingly insatiable demand from businesses wanting to be among the first to capitalize on the AI revolution by training large language models and running generative Ai solutions. To do so, they'll need the necessary infrastructure in place, which Supermicro can provide.
The company's operating results have also given billionaires reason to be excited. Net sales jumped 110% to $14.9 billion in fiscal 2024 (the company's fiscal year ends on June 30), and the midpoint of its guidance calls for $28 billion in net revenue for the current year. This forecast screams that demand is exceptional at the moment.
But it won't be an easy ride. With its use of Nvidia's H100 GPUs in its customizable data-center rack servers, and the H100 backlogged, Supermicro finds itself at the mercy of its suppliers.
Furthermore, the company is the target of a short-seller report from Hindenburg Research, which has alleged accounting manipulation. Despite denying these allegations, management did delay the annual filing of its operating results, which did little to soothe investor concerns.
Despite its relatively inexpensive valuation, Super Micro Computer has a lot to prove to Wall Street and investors.
Broadcom
The other stock-split stock that billionaires very clearly favored over Nvidia in the June-ended quarter is AI networking solutions and services providers Broadcom (NASDAQ: AVGO). Seven billionaire investors took the plunge in the second quarter, including:
Ole Andreas Halvorsen of Viking Global Investors (2,930,970 shares)
Jeff Yass of Susquehanna International Group (2,347,500 shares)
Israel Englander of Millennium Management (2,096,440 shares)
Ken Griffin of Citadel (1,880,740 shares)
John Overdeck and David Siegel of Two Sigma Investments (1,332,230 shares)
Ken Fisher of Fisher Investments (865,090 shares)
Keeping with the theme of this list, Broadcom also announced a 10-for-1 forward split (the first in the company's history), which was completed in mid-July.
Broadcom's AI ties have certainly been the fuel behind its recent uptick in growth. In particular, the company's networking solutions are responsible for connecting large numbers of AI GPUs in order to reduce tail latency and maximize the computing potential of AI-accelerating hardware. Presumably, demand for its AI networking solutions will remain robust as long as businesses keep gobbling up AI GPUs.
However, billionaires might be equally excited about Broadcom having a solid foundation that extends well beyond artificial intelligence. It generates a significant amount of revenue and profits from the wireless chips and accessories it provides for next-generation smartphones. And it's a key provider of optical components used in automated industrial equipment, as well as networking solutions for next-gen vehicles.
Lastly, billionaires might be impressed with the company's track record of earnings-accretive acquisitions. For example, the $69 billion purchase of cloud-based virtualization software company VMware in November 2023 perfectly positions Broadcom to be an important player in helping businesses with their private- and hybrid-cloud needs.
With a more diverse revenue stream than Nvidia or Super Micro Computer, Broadcom would be best-positioned to navigate an AI bubble-bursting event, should one occur.
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>>> US proposes requiring reporting for advanced AI, cloud providers
Reuters
by David Shepardson
https://www.msn.com/en-us/news/us/us-proposes-requiring-reporting-for-advanced-ai-cloud-providers/ar-AA1qgtTx?ocid=BingNewsSerp
WASHINGTON (Reuters) - The U.S. Commerce Department said Monday it is proposing to require detailed reporting requirements for advanced artificial intelligence developers and cloud computing providers to ensure the technologies are safe and can withstand cyberattacks.
The proposal from the department's Bureau of Industry and Security would set mandatory reporting to the federal government about development activities of "frontier" AI models and computing clusters.
It would also require reporting on cybersecurity measures as well as outcomes from so-called red-teaming efforts like testing for dangerous capabilities including the ability to assist in cyberattacks or lowering barriers to entry for non-experts to develop chemical, biological, radiological, or nuclear weapons.
External red-teaming has been used for years in cybersecurity to identify new risks, with the term referring to U.S. Cold War simulations where the enemy was termed the "red team."
Generative AI - which can create text, photos and videos in response to open-ended prompts - has spurred excitement as well as fears it could make some jobs obsolete, upend elections and potentially overpower humans and have catastrophic effects.
Commerce said the information collected under the proposal "will be vital for ensuring these technologies meet stringent standards for safety and reliability, can withstand cyberattacks, and have limited risk of misuse by foreign adversaries or non-state actors."
President Joe Biden in October 2023 signed an executive order requiring developers of AI systems that pose risks to U.S. national security, the economy, public health or safety to share the results of safety tests with the U.S. government before they are released to the public.
The rule would establish reporting requirements for advanced artificial intelligence (AI) models and computing clusters.
The regulatory push comes as legislative action in Congress on AI has stalled.
Earlier this year, the BIS conducted a pilot survey of AI developers. The Biden administration has taken a series of steps to prevent China from using U.S. technology for AI, as the burgeoning sector raises security concerns.
Top cloud providers include Amazon.com's AWS, Alphabet's Google Cloud and Microsoft's Azure unit.
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Name | Symbol | % Assets |
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Fanuc Corp | 6954 | 8.05% |
NVIDIA Corp | NVDA | 7.61% |
ABB Ltd | ABBN | 7.58% |
Keyence Corp | 6861 | 7.18% |
Intuitive Surgical Inc | ISRG | 7.08% |
Renishaw PLC | RSW.L | 5.31% |
Brooks Automation Inc | BRKS | 5.01% |
YASKAWA Electric Corp | 6506 | 4.63% |
Tecan Group Ltd | TECN | 4.33% |
Daifuku Co Ltd | 6383 | 4.22% |
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---|---|---|
Meituan | 03690 | 4.23% |
Qualcomm Inc | QCOM | 4.11% |
Samsung Electronics Co Ltd | 005930.KS | 3.84% |
NVIDIA Corp | NVDA | 3.01% |
ServiceNow Inc | NOW | 2.98% |
Tencent Holdings Ltd | 00700 | 2.89% |
Alphabet Inc A | GOOGL | 2.85% |
Salesforce.com Inc | CRM | 2.83% |
Shopify Inc A | SHOP.TO | 2.79% |
Siemens AG | SIE.DE | 2.76% |
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