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What would make everyone feel better about an upcoming FID is if we knew for a fact they were in line with the ship builders. Money would have to be put down for that line so are they financed by the Fairwood mothership.
C Delfin went for a 4 year extension because there was no way they could go back in 2024 to extend a 1 year. They told the FERC FID was forthcoming, come on Delfin knew they weren’t going to FID in 2024. You don’t just wake up and say we can’t FID what were we thinking. Now Vitol is saying Delfin will FID 1st Q ‘24 they should wonder why their contract is so old. What is up with the small .5 - 1.0 MPTA SPA’s they have a 13.3 MPTA play ground. Going to take awhile to get there. I hope all this is going to happen for all our sakes but it feels a little like we’re being strung along. By the way Delfin has to keep TGLO current at this point too far into it.
“If you redesign a chip around a particular cut line that enables them to do AI, I’m going to control it the very next day,” Raimondo said.
I said when Nvidia postponed the H20 weeks back due to incompatibility with servers that wasn’t the real reason. They knew at that point it was too close to the line. The postponement is too redesign the chip away from the line to please the government along with China still desiring the chip. The L20 and L2 chips aren’t powerful enough for the US to worry about.
"I know there are CEOs of chip companies in this audience who were a little cranky with me when I did that, because you're losing revenue. Such is life, protecting our national security matters more than short term revenue."
"Newsflash: democracy is good for your businesses. Rule of law here and around the world is good for your businesses," she said.
Raimondo noted that Nvidia, maker of the most sophisticated chips needed to develop the latest generation of AI, had developed a product that performs just below the limit set by her department for export to China.
"That's what industry does," she acknowledged, but added, "That's not productive."
"Every day China wakes up trying to figure out how to do an end run around our export controls... which means every minute of every day, we have to wake up tightening those controls and being more serious about enforcement with our allies," she said.
Raimondo stressed that her department needs better funding to effectively carry out its mission.
"I have a $200 million budget. It's like the cost of a few fighter jets. Come on," she said. "Let's go fund this operation like it needs to be funded so we can do it, we need to do to protect America."
Nice post!!
There always is although I’m in for the long haul so short term swings are just part of the game
Next year Nvidia will be much higher. There is uncertainty with China which will be resolved 1Q. Not knowing exactly what AMD’s MI300 chip will be in the marketplace is also hanging over the stock. This will be solved next year, if you listen to Jensen and Colette they say it isn’t the chip it is the hardware, software, networking the whole system the “stack”. AMD & Intel don’t have the system the “stack” they only have the chip. Everyone wants Nvidia and they will stay with Nvidia.
Analyst price targets are for a year not a month
Below is an article from Barrons
Four Reasons Nvidia Will Keep Its AI Chip Dominance
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Chip Castle. Every major technology company is chasing Nvidia.
Last week, the semiconductor company posted stellar financial results. Revenue in its latest quarter nearly tripled, with the company citing surging demand for its chips that enable artificial intelligence applications.
This year, developers have been clamoring for the company’s GPUs, or graphics processing units. They’re well suited for the parallel computations needed for AI projects, including large language model training and inference, the process of generating answers from those AI models.
Rivals are racing to compete against Nvidia. Earlier this month, Microsoft unveiled its in-house designed Azure Maia AI Accelerator chip, which is scheduled to be rolled out early next year. On Tuesday, Amazon Web Services announced the next version of its Trainium AI chip. Advanced Micro Devices, Intel, and Google are actively working on improved products.
It’s going to be an uphill battle for them all. Jefferies analyst Mark Lipacis analyzed the September AI workloads from the six top cloud computing companies and found that Nvidia had an 86% share — a figure that hasn’t changed much over the past year.
He tracked Alibaba Aliyun, Amazon Web Services, Microsoft Azure, Google Cloud Platform, Oracle Cloud, and Tencent Cloud.
There are several reasons why customers don’t want alternatives to Nvidia’s chips, even when they face a long wait to receive their orders.
First, Nvidia has the most mature technology offering for AI. The company has spent over a decade fixing software and driver issues for its software programming ecosystem, CUDA. It means the company has already fixed technical issues that other less experienced vendors may still need to iron out.
Second, Nvidia is cloud-agnostic. Customers have the flexibility to take their Nvidia-powered workloads from one cloud to another. Rival AI chip offerings from Amazon or Google, on the other hand, lock users into their cloud platforms. That reduces flexibility to switch to another provider offering a cheaper service or better technology.
Third, developers stick with Nvidia because of its decades of platform stability, large market share, access to industry specific tools, and its reputation for backward compatibility.
“All the invention of technologies that you build on top of Nvidia accrue,” Jensen Huang, the CEO of Nvidia, said last week.
Then there’s performance. Nvidia still offers the best overall capability when customers assess the company’s combination of software, systems hardware, and networking hardware.
Ultimately, developers want the technology that empowers them to build the best AI applications as fast as possible with the fewest technical risks.
It’s Nvidia’s game to lose.
A 13.3 MPTA ambition, sign them all up.
That is where Devon comes in with the SPA for 1.0 MTPA and adding an additional 1.0 MTPA
Even if it does it won’t be sustainable until the Delfin TGLO tie in goes mainstream. Otherwise all you have is IHub Penny People they don’t have any money per se.
Thanks
What does the two sets of symbols mean after message?
The last thing Nvidia wants to do is put a product out in the Chinese market that isn’t right. Hopefully they can fix it with software versus going back to the wafer
No he didn’t back then but he would buy a SB now if he could. That trade with Herschel was more with Jimmy Johnson than Jerry. That was the problem between them Jerry wanted the credit and I think he was jealous of Jimmy getting all the credit. Enough DC I don’t want everyone getting sick
NVIDIA H20, L20 & L2 Are The New AI GPUs On The Block For Chinese Markets
Update: It seems like NVIDIA's new GPUs aren't trying to circumvent any US policies (as previously speculated) but instead are designed in accordance with the import rules and fully comply with the parameters set.
According to the latest report by Dylan Patel of Semianalysis, it looks like NVIDIA has plans to launch at least three new AI GPUs for the Chinese market which include the H20 SXM, PCIe L20, and the PCIe L2. All of these chips are based on the Hopper GPU architecture and will feature a maximum theoretical performance of 296 TFLOPs.
The exact specifications of these GPU configurations of these chips aren't known yet but the Hopper H20 SMX features 96 GB memory capacities operating at up to 4.0 Tb/s, 296 TFLOPs Compute power, and using the GH100 die with a performance density of 2.9 TFLOPs/die versus H100's 19.4. The H100 SXM is 6.68x faster than the H20 SXM as per the listed table but those are FP16 Tensor Core FLOPs (with Sparsity) and not the INT8 or FP8 FLOPs. The GPU has a 400W TDP and features 8-way configurations in an HGX solution. It retains the 900 GB/s NVLINK connection & also offers 7-Way MIG (Multi-Instance GPU) functionality.
The NVIDIA L20 comes with 48 GB of memory and a peak of 239 TFLOPs of compute performance while the L2 is configured with 24 GB of memory and a peak of 193 TFLOPs of compute power. The GPUs come in PCIe form factors making them a viable solution for office-based workstations and servers. These are much more cut-down configurations than what the Chinese customers were getting before in the form of the H800 and A800 but it looks like the NVIDIA software stack for AI and HPC is just too valuable to give up for some of these customers and they will be willing to take the reduced specs in order to get access to these modern Hopper architectures.
Also, while they are cut down from a traditional compute point of view, the report states that in LLM inferencing, the H20 SXM will actually be faster than the H100 since it shares similarities to next year's H200. This would suggest that at least one part of the GPU isn't that cut down versus the rest of the chip. The NVIDIA HGX H20 SXM chip and the L20 PCIe GPU are expected to launch by December 2023 while the L2 PCIe accelerator will be available in January 2024. Product sampling is going to commence one month earlier than release.
Furthermore, one of the China specific GPUs is over 20% faster than the H100 in LLM inference, and is more similar to the new GPU that Nvidia is launching early next year than to the H100!
via SemiAnalysis
NVIDIA has yet to officially announce these chips but they are likely going to keep it under wraps and silently update their partners about the plans rather than making it a full-blown AI product announcement. The recent restrictions imposed by the US government on China have prompted the Chinese to search for AI alternatives
NVIDIA knows the potential that some of these competing companies hold and will try to support its Chinese customer base as much as possible while conforming to US regulations. The company also has a massive demand for AI across the globe and despite a recent cancellation of $5 Billion US worth of orders, the green team will just reallocate its supply elsewhere so that customers who previously had to wait more than a year to get hands-on GPUs can now get their hands on NVIDIA's AI gold early.
Now for me the salary cap ruined football Jerry can’t buy the Super Bowl anymore. Come on this is still America isn’t it, what happened to Capitalism and all that good stuff.
I’ve always liked them even though conference team their in building mode
That is because you like the NY Giants I would like team TGLO also if I was you.
Here is a comment from Yahoo board very good I thought.
“Analysists mention Nvidia's "moat". I don't think many investors understand how wide it is. The "moat" is not just best-in-class GPUs, that accelerate video games and AI training. It is also their CUDA software that allows AI developers to run their AI models on Nvidia's GPU. The first version of CUDA was released in 2007. I remember using it. It was buggy, codes crashed constantly. It took 16 years for NVDA to get where they are today. Suggesting that INTC or AMD can get there in just a few years is ignorance. Besides state-of-the-art GPUs, these competitors need software like CUDA to use those GPUs for general-purpose computing. And the programming languages like C++/C#/Python have to support that software, which means that someone has to create all the libraries/modules in C++/C#/Python that enable programming on those GPUs. Then AI developers have to use those libraries for their AI models, uncover bugs, report them back, wait for updates, uncover new bugs, and so on. It takes many years to get there.”
Don’t think so :)
I will be so glad when the new year gets here so the percentage of stock growth will be reset to zero. Wall Street constantly saying 230% (or whatever it is) gains affects people wanting to invest in Nvidia.
Happy Thanksgiving everyone
If you are long I wouldn’t worry about it just a blip. The price will take a hit around December 6th when AMD has mi300 presentation. Although AMD will only get scraps from Nvidia
No the old rule buy on rumor sell on news
Yes all depends on the interpretation of the earnings call
Tuesday is the big day, no telling what Wednesday will bring as far as stock price reaction. A wrong word and markets could react negatively. Personally I will be listening to the earnings call to verify fundamentals are still intact going forward. If still good (which expected) stock price will take care of itself.
Nola you were right to ask Jab he is one of the few that has stayed grounded not a rah rah sure thing guy.
I agree with you I originally bought in 2019 and again in 2020 and was gifted with the 4:1 split in 2021
It’s not really what the LNG market is now what is it going to be in 2027 maybe 2026 if lucky. It is that crystal ball right but other companies are declaring FID
I have a better question why does a wealthy guy sell a next to perfect shell for $25,000 almost 6 years ago and not say a peep.
That is a good question how long do you think before we have the answer
I haven’t read the PR’s lately but don’t remember any specifics about the contracts other than the volume of gas which wasn’t earth shattering. So we don’t know contracts will be cancelled due to timelines unless you know something different.
Yes but now they have 4 years to make FID if they want to or need to. Let’s hope not but why do you think they went for 4 years this time around. There was no way FERC would give it to them next time around no matter what they put in the letter. We are on Delfin’s timeline FERC was their last hurdle.
NP and others, the reason I asked earlier about the ship builders is following a money trail. There are a lot of investigative types on this thread some of the things posted is like where did that come from. A lot of the PR’s have included investment in Delfin. Has this already happened if so at what level. If Delfin has excepted money FID will happen then RM, nobody wants to give money back. I wouldn’t have any idea how to research this but there are plenty of people here that probably can …. Just a suggestion.
NP do we actually know if Delfin is in line with the ship builders or is it still speculation
Stock May be down because of Microsoft’s new AI chip. Their chip along with Googles and Amazons has nothing to do with GPUs. I wish analysts would come out and say that. They’re still buying Nvidia GPUs they have to
I agree let it cool down before earnings
Yes I looked at it to quick I saw the company below them my bad