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Will that become public knowledge when Delfin reserves the slot with Samsung or will one of the companies have to divulge that info
I didn’t say that was a reason for split but could be a good way to play a split, try to keep up.
As you say at some point things will change a split will help in people can sell when needed and keep some shares long.
No I don’t remember that but I wouldn’t doubt it. Although I did say I didn’t think the opportunity post Delfin/TGLO maybe pre Delfin. Doesn’t matter I shouldn’t accuse him I don’t know that was the case there is enough accusations going around in the world. Most of those 5-6 years I had XL on mute he was a smart guy but wasn’t worth it. There were too many good posters like yourself to hang my hat on for info.
Agree not saying people didn’t buy then but have a hard time 1.75 million at .04 there wasn’t the volume for that and to average down to that not possible after Delfin got TGLO IMO
You know I think most people here are honest there may be some exaggeration don’t know I personally don’t believe me or not doesn’t matter. I don’t believe your 1.75 shares at .04 unless you have all of them before Delfin bought TGLO and I’ll tell you why. I originally bought in spring of 2018 at .145 about 2-3 years ago (would have to check my account for exact timeframe) is the only time TGLO was at .03 bid .04 ask. I know because I sat there on the ask at 10,000 shares for over 2weeks. Some days it got filled some only partial there wasn’t the volume and I kept on the ask to keep price down. I picked up 100,000 shares for $4,000. There might have been more people doing it but I don’t think so the board was bummed at the time SP was so low but not because of bad news. The SP stayed that low for about a month or so if memory serves me then moved back up a little. To make a long story short I don’t believe you.
That was good
Here is a great compliment from Elon
“Elon Musk Touts Nvidia Dominance and Predicts a Giant Leap in AI Power The Tesla CEO credited Nvidia co-founder Jensen Huang with anticipating the demand for AI while speaking at Peter Diamandis' Abundance360 Summit.
Elon Musk doesn't make a habit of shouting out other entrepreneurs, but even he can admit when someone, like Nvidia founder Jensen Huang, out-predicts him.
While speaking via FaceTime at the Abundance360 Summit, a gathering in Rancho Palos Verdes, California organized by futurist Peter Diamandis, also the founder of XPrize Foundation and Singularity University, Musk said that "you have to give credit to Jensen and the Nvidia team for kind of seeing this coming," referring to Huang's decades-long effort to position Nvidia at the forefront of artificial intelligence. "They're making what is currently the best AI hardware out there," he added.
During his conversation with Diamandis, Musk noted that Nvidia's chips are largely responsible for the massive increases in AI computing power over the past year or so, and asserted that the amount of computational power dedicated solely to AI is increasing by a factor of 10 every six months. Musk also predicted that over the next few years, AI compute will increase by an annual factor of 100, as data centers that have traditionally focused on more conventional compute services shift to AI. An AI model's "intelligence" is directly correlated to the amount of compute power used to train it, which is why companies like OpenAI or Musk's xAI are so bullish on Nvidia's tech; they need it to create significantly smarter models and get closer to achieving AGI, a hypothetical form of AI that's as smart or smarter than the average person. "It's certainly a good time to be Nvidia," Musk said, "obviously."
That increase in compute power is good news, as Musk said the biggest limiting factor to the AI's growth in 2023 was the scarcity of AI chips, like the ones Nvidia has made a fortune selling, that are used to train and run advanced AI models. Now that production on chips has ramped up enough to supply the outsized demand, the biggest limiting factor to AI's growth going forward, according to Musk, is finding enough electricity to power the data centers where those chips are put to use.
Training large language models like GPT-4, OpenAI's marquee offering, is an incredibly energy-intensive process. It's estimated that GPT-3, the large language model that powered the initial release of ChatGPT, cost 1,287 megawatt hours, which is reportedly roughly the same amount of power that 130 US homes consume annually. OpenAI founder Sam Altman has personally invested $375 million in Helion Energy, a startup that aims to use nuclear fusion to provide a more eco-friendly and low-cost way of running AI data centers.
Musk said that AI companies will soon be competing for step down transformers, large and expensive machines that convert high-voltage currents into grid-ready electricity. "Getting the power from a utility, something like 300 kilovolts, down to below one volt is a massive step down" said Musk, joking that the industry currently needs "transformers for transformers."”
One way of looking at it I guess personally I’m long term putting away for rainy days. Now if fundamentals change then no problem selling. Different styles it’s what makes world go around
I watched the GTC keynote (a little over 2hrs) very good what an audience for Jensen. There is also a transcript out there with Jensen and Colette where they have a question and answer with analysts on Tuesday. It was very good in my opinion. The Blackwell announcement was good but the best thing was the announcement of the software NIM’s for Enterprise. A lot of it is over my head don’t take much but Nvidia will have these various software packages for companies to put to use their company specific AI applications. AI is so new and Nvidia probably has the most experts that companies don’t have experience in AI so Nvidia will steer and help them. Buy our systems (can’t say chips anymore) and for $4,500 a GPU we will make you experts at your company’s AI data. Sell this stock at your own peril
Moon everyone has different trading styles why sell even if you think it might pull back short term. I understand taking profits but this has such a long runway in front of it. Just curious really none of my business
Yes it was good but a lot of times Crammer doesn’t shut up when Jensen is talking. Jensen was going to say more about the stock split and Crammer interrupted him Jensen then stopped talking and that was the end. Fox News does that all the time interviewing a guest and they won’t shut up. We don’t want to hear you we want to hear the guest.
OT GTC today
There will be so many YouTube videos on Nvidia in the next few days I will be in seventh heaven
Keynote at 4:00 ET man a all day wait
There better after the train runs over them
It is going to be a long weekend for me waiting for GTC like waiting for earnings
I don’t understand why OT posts are removed unless they are hurtful, threatening, etc to other posters. There is a core of posters on this thread if someone wants to bring up something different than TGLO is that really hurting anyone. If someone is blatant about it that is one thing but a person talking about another stock (or something else) for a few posts doesn’t hurt anything. It might actually help someone, I know if Spreycell (spelling) hadn’t talked about TGLO on the Tell board in 2018 I wouldn’t know about TGLO. Chen I’m not talking about you, it sounds like that was a mistake. Northpeak and myself had posts removed a few weeks ago because Grouse Hunter didn’t like it instead of just hitting the next arrow.
NP thanks for posting as you say this was 2017 but as many have said here just a matter of time.
I read the Oracle earnings call transcript to get an idea about what Nvidia and Oracle’s announcement might be. I think it will be about a joint venture to provide Countries Government Sovereignty clouds using Nvidia’s GPU and Oracle’s cloud. Oracle already is getting governments business here is what Larry Ellison quoted below about that (at least for now)
“And let me -- let me just have one last thing. Microsoft does not compete for this business. AWS does not compete for this business. Google does not compete for this business.”
You know Jerry could be correct when he predicted January. Let’s hope not because I believe he was referring to a new administration, which would actually be months later before it trickled down to DOE. The good thing is we finally know why they didn’t FID after FERC (as they promised) and with 100 million spent to date they’re not walking away. For me it is not as bad waiting knowing there is at least a path.
You do know that article is their original collaboration in 2022 right they will have a update during GTC stay tuned
Sounds like that announcement and many others during GTC
There are a lot of posts about market manipulation and I get it like Cadillac posts he is knowledgeable and seems to know the markets. To know what really goes would make your blood boil, but I can’t control that. What I can control is knowing Nvidia’s fundamentals. There are all kinds of outside influences on any stock but understanding Nvidia’s technology, moat, barrier to entry etc. is what propels this stock ultimately. If those things change I will reevaluate Nvidia. Long and strong baby
Actually I bought shares in 2019 and 2020 believe me or not doesn’t matter not bragging just glad I was right. I never dreamed what has happened would have materialized. I listened to every CC and Technology conference since I have had shares. I don’t know financials but I do listen to Jensen and Colette how they present themselves and answer questions. I’m here because I really like to hear about the technology like the upcoming Blackwell architecture and H200 chip etc. Unfortunately there isn’t a lot of posts about the technology and that is okay still knowledgeable people here. I can’t wait until GTC to listen to Jensen’s keynote address and the other sessions.
Does there always have to be an angle maybe just selling for all the buying.
It is greener than traditional which should help the cause
Very informative article thanks for posting
Yeah it just would have been nice to know after FERC what they were waiting on for FID. I know I was very disgruntled at the time, it is nice to know there is clear path forward. I just don’t understand why they didn’t call me.
Why do you think Delfin didn’t update anyone, I know their private company and sure don’t have to update TGLO (yet). They do make comments in articles so it is not like they don’t want to be seen. You would think they would want their industry to know reasons for FID delays. Maybe they don’t want to ruffle MARAD’s feathers any thoughts
I don’t know this field like all you guys do, there were so many links which one describes the delay. Thanks
I personally don’t care but you are going to get the wrath from Grouse Hunter for being OT
Wait and see is what we’re good at, the article did get the juices flowing
Jensen wants to be ready when autonomous driving finally takes off.
Nvidia lures autonomous car boss from China's Baidu
Jensen Huang's automotive engineering team has now pinched two top Middle Kingdom talents
Laura Dobberstein
Wed 28 Feb 2024 // 07:27 UTC
4 comment bubble on white
Nvidia has picked up the former head of Baidu's L2+ Autonomous Driving System, Luo Qi, to head the engineering team of its own automotive business unit.
According to Qi, the PhD-holding engineer led development of China's first vision-based city Navigation On AutoPilot (NOA) product from its inception while in his last role at Baidu.
Baidu already operates robotaxis in several Chinese cities, with full autonomy allowed in at least three locations. Chinese authorities don't like to talk about failures, but The Register has heard of no incidents to compare with the sort of robotaxi fails seen in California, where some trials have been ended in ignominious circumstances.
Qi's position at Nvidia as director of engineering began this month, according to his LinkedIn profile. Reports in Chinese media suggest he will take charge of forecasting, planning and control.
The Register has asked Nvidia for more information and will update this story if anything substantial arises.
Qi is not the first Chinese auto-auto expert to jump to Nvidia: head of automotive, Xinzhou Wu, hails from another Chinese automaker, XPeng. Dozens of XPeng staff reportedly made the same XPeng-to-Nvidia move after Wu.
After he made the move, Wu listed the goals of Nvidia's automotive segment as being to partner with carmakers and "enable autonomy in mass production vehicles around the world, with AI technologies both in vehicle and in cloud."
"The future of mass-produced autonomous cars is not far anymore, as what we have observed in China market," predicted Wu when he transitioned from XPeng to Nvidia six months ago.
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While sanctions have muted some technology development in China, the Middle Kingdom has done well with autonomous vehicles.
In January 2023, McKinsey & Company declared China's automotive industry had entered "an age of unprecedented disruption."
The consulting firm acknowledged last month that the race to deploy L4 vehicles first is widely seen as between the US and China.
It cited China's progress as driven by robust government backing, heightened investments in research and data availability, and a receptive consumer attitude.
Meanwhile, US-led efforts from the likes of GM subsidiary Cruise, Google's self-driving taxi subsidiary Waymo, and Apple's Project Titan have hit snags. Bloomberg reported this week that Apple has thrown in the towel, although Cupertino hasn't confirmed that report – and also never actually confirmed it was working on a car.
Nvidia's autonomous driving unit has a presence in both China and the US, as do XPeng and Baidu.
The AI giant began investing in autonomous driving solutions in 2015. It's fair to say in the age of generative AI and H100s, it's not the most hyped product from the California-based GPU-maker.
Q4 2023 results released last week listed the acceleration champ's yearly automotive business segment as up 21 percent to $1.1 billion – an increase it attributed [PDF] to "growth in self-driving platforms."
The segment's quarterly value of $281 million accounts for just over one percent of the quarter's total $22.1 billion revenue, but execs are hopeful of growth as more cars add more cameras that make them more suitable candidates for Nvidia's AI-crunching computers.
Here is a good article that talks about Nvidia but not just the numbers and growth.
Jensen Huang defends colossal GPU purchases made by hyperscalers, claims they're 'fairly allocated'
icon Simon Sharwood
Thu 22 Feb 2024 // 01:32 UTC
Nvidia CEO Jensen Huang has claimed responsibility for hyperscalers' decisions to extend the operating life of their server fleets, and suggested they've done so because they can't improve performance by persisting with general-purpose computing and must instead adopt accelerated machines.
As the boss of the planet's leading purveyor of accelerated computing, he would say that. But on Wednesday's Q4 earnings call he and CFO Collette Kress pointed to Microsoft and ServiceNow both achieving record adoption of new products that include Nvidia-powered AI as evidence that accelerated computing is the new must-have.
Nvidia's numbers also lend credence to Huang's belief that accelerated computing is booming – big time – because CPU-centric architectures can't run the AI workloads the world wants.
We reconfigured our products for China in a way that is not software hackable
Q4 2024 revenue came in at $22.1 billion – up 265 percent year-over-year. Full year revenue of $60.9 billion was up 126 percent compared to FY 2023. Datacenter revenue was the big driver, growing 409 percent year-over-year to $18.4 billion for the quarter, and rising 217 percent to a full-year total of $47.5 billion. That last figure means Nvidia is a bigger enterprise player than HPE, and also bigger than IBM's hardware biz.
Kress revealed a likely driver for future growth – the forthcoming H200 accelerator – will debut in Q2 and forecast strong demand as it nearly doubles inference performance compared to Nvidia's current champion card, the H100.
Huang and Kress both warned that demand will initially exceed supply for the H200, and the CFO added that next-generation Hopper products will be supply-constrained. Huang explained that the complexity of Nvidia products means it's not immediately possible to step up production to levels that meet demand.
"Whenever we do new products, it ramps from zero to a very large number and you can't do that overnight," he explained, pointing out that Hopper products have 35,000 components.
He later acknowledged buyers' concerns about shortages in the context of purchases of hundreds of thousands of H100s by hyperscalers. "We allocate fairly to ensure use," he claimed, explaining that Nvidia won't let its hyperscale customers get their hands on hardware before they have datacenters ready to run it.
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Where there's a will, there's a way to get US chips into China
China delivered a "mid-single digit percentage" of datacenter revenue, and was forecast to do the same in Q1 of 2025.
Huang conceded this quarter's result represented a significant decline in the Middle Kingdom, caused by a company-wide pause in sales sparked by stricter US sanctions on exports of AI tech introduced in October 2023.
Huang said Nvidia stopped shipping kit to China in response and has since developed products it believes will qualify for an export license.
"We reconfigured our products in a way that is not software hackable in any way," he claimed. "Now we are sampling for customers in China and we will do our best to succeed there."
He added his belief that "The US government would like us to be as successful in China as possible."
Networking revenue reached a $13 billion annual run rate and grew 5x year-over-year. CFO Kress predicted further networking growth, helped by the debut this quarter of Nvidia's SpectrumX Ethernet range. SpectrumX is Nvidia's set of tweaks to Ethernet to make it better able to handle AI workloads. Huang described SpectrumX as "AI-optimized" in contrast to InfiniBand's status as "AI-dedicated."
Enterprise software has become a billion-dollar business for Nvidia, and Huang forecast that would grow substantially, led by the Nvidia Enterprise AI suite.
Huang revealed Nvidia has substantial teams who work closely with cloud service providers to help them run apps on accelerators, but noted that hands-on approach won't scale to every app and every user. As generative AI becomes a common enterprise workload, Nvidia is building libraries to ensure common software can also get the best out of its accelerators – at a price of $4500/GPU/year for its Nvidia Enterprise AI offering.
"My guess is that every enterprise in the world will run on Nvidia AI Enterprise," he predicted. "This is likely going to be a very significant business. We are really just getting started."
Gaming is Nvidia's OG biz, and grew 15 percent year over year to reach $10.45 billion revenue.
Q1 revenue was forecast at $24 billion – growth rather less steep than Nvidia has reported in some recent quarters. A seasonal slowdown in gaming revenue was cited as one reason for the forecast. That said, Nvidia's Q4 result beat guidance by a couple of billion dollars.
Investors clearly liked what they heard: Nvidia's share price ended the trading day at $675.00 and sped to $743.98 after the bell before settling to $730.50. ®
You know I think it would be great for this to consolidate before the GTC March 18th. That will be another great catalyst for Nvidia and the market in general
As long as the SP stays up and doesn’t decay as in most RS
Analyst Rosenblatt (spelling?) which was at $1100 back when this first started. Everyone kinda laughed at them for being so high. Personally I think they would have looked better if they just came out and reiterated the $1100 but they raised to $1400
I scanned through the earnings transcript there was this blurb from CEO remarks that was all I saw no analyst questions on the matter. At least it was mentioned.
“Additional highlights for the year include: returning approximately $840 million to shareholders via dividends and buybacks; advancing our path to be LNG-ready by securing HOAs up to 3 million tonnes per annum linked to JKM and recently signing an LNG sales and purchase agreement with Delfin and Gunvor for long-term liquefaction offtake; completing our Eagle Ford exit for a total consideration of greater than $3.5 billion; “
AMD is a great company put the hurt to Intel but won’t do that to Nvidia. But as you said they don’t have to and there is a place for both to excel. Nvidia’s advantage is they only do GPU’s (a long list with the GPU of course) so their R&D can be a lot more focused. CUDA was developed in 2006 when the Street didn’t care it only hurt Nvidia’s numbers at the time. Nvidia has been working the AI angle since 2012 and are so far ahead it is just so enjoyable to be along for the ride with them. Congrats on owning both.