doc2016
16 hours ago
jensen said next generation after this is vera rubin...she discovered studied spiral galaxy.genimia ai says, "Vera Rubin was an American astronomer who made groundbreaking observations that provided compelling evidence for the existence of dark matter. Here's a breakdown of her significant contributions:
Galaxy Rotation Curves:
In the 1970s, Rubin, working with Kent Ford, studied the rotation of spiral galaxies.
They discovered that stars at the outer edges of galaxies were moving just as fast as those closer to the center.
This was unexpected because, according to the laws of gravity, stars farther from the galactic center should orbit slower.
Rubin's findings indicated that there must be an unseen mass exerting gravitational influence, keeping the stars from flying apart. This unseen mass is what we now call "dark matter."
Significance of Her Work:
Rubin's work provided strong observational evidence for the existence of dark matter, a substance that makes up a significant portion of the universe but does not emit or absorb light.
Her research revolutionized our understanding of galaxy dynamics and the composition of the universe."
so , when jensen mentioned her name in gtc keynote , he didn't indicated directly her work would have touched on oam, spin ip. this oam must be tied to dark matter and interactions with gravity?
so, jensen seems to be telling us of nvidia direction in a collaboration with the quantum qubit spins and twisted photons and bends in matter creating superconducting matter.
then his next generation is called Feynman, quantum guy who offered more of a complete quantum computer picture?
that seems to be the roadmap. his trajectory is a collaborative journey of melding the classical and quantum into our universe/metaverse?
"
Jetmek_03052
17 hours ago
China regulators are discouraging the country's largest technology companies from buying the H20 chip - which was specifically designed to satisfy U.S. sanctions on exports. This news, along with news of fresh and more elaborate U.S. export restrictions being put on by the current administration, is driving this down this morning.
But as said here, it does look as if China is trying to circumvent trade restrictions by buying companies in those countries that are not restricted, and getting the chips they want that way. So yes, in reality NVDA is still getting the sales, just not to China directly. We will see if there's any drop in revenue in the next 10Q. I doubt there will be.
Still bullish and holding.
tw0122
17 hours ago
Buy the dip. China data centers in US.. Chinese companies were happy to receive the H800s. However, they also figured out a new way to get access to Nvidia’s latest chips. If they built a data center in any of their neighboring countries and imported the Nvidia chips there, they could circumvent the export ban. That’s what ByteDance plans to do as well.For context, ByteDance is the owner of Doubao, the most-used AI chatbot in China with 51 million users. The company plans to continue its domination and for that, it is willing to go to great lengths to get its hands on Nvidia’s latest GPUs.So what does this mean for Nvidia? We already know that Nvidia’s China revenue has gone down from 25% of the total revenue to 15% over the last few years. But is it just a case of the missing revenue being diverted to other places and the products still ending up in China? After this development, that seems to be the likely case.This would mean that no matter how China and the US settle their trade disputes, China will, one way or the other, get its hands on Nvidia GPUs. As both countries try to hurt each other financially, Nvidia can come out unscated, or even the winner!
eastunder
4 days ago
Shouldn't be upsetting, Jet. Not in the big picture
https://www.sec.gov/Archives/edgar/data/1045810/000104581025000069/xslF345X05/wk-form4_1742604148.xml
Explanation of Responses:
1. Represents shares withheld by the Issuer to satisfy taxes due by the Reporting Person in connection with the vesting of restricted stock units previously reported on a Form 4.
2. Includes 93,615 shares issued upon the vesting of restricted stock units previously reported on a Form 4.
3. The reported transaction was effected pursuant to a Rule 10b5-1 trading plan adopted by the Reporting Person on March 22, 2024.
4. Represents weighted average sales price. The shares were sold at prices ranging from $115.59 to $116.58. The Reporting Person will provide upon request, to the Securities and Exchange Commission (the "SEC"), the Issuer or security holder of the Issuer, full information regarding the number of shares sold at each separate price.
5. Represents weighted average sales price. The shares were sold at prices ranging from $116.61 to $117.57. The Reporting Person will provide upon request, to the SEC, the Issuer or security holder of the Issuer, full information regarding the number of shares sold at each separate price.
6. Represents weighted average sales price. The shares were sold at prices ranging from $117.61 to $117.96. The Reporting Person will provide upon request, to the SEC, the Issuer or security holder of the Issuer, full information regarding the number of shares sold at each separate price.
She sold 22,950 shares and 39,963 shares and 3,747 shares according to that filing
so 66,660 shares total for apx 7.8 million dollars or 117.01 average if you do the math.
BUT she still owns over 3 million shares. Direct.
3,085,765 shares X 117 cpps = 361 million dollars
So selling 7.8 million dollars worth - Not much in the big picture...at least not for her.
Indirect - she owns another 2.4m shares (another what 280m?)
Jetmek_03052
6 days ago
Nvidia's Disconnect: An Improving Business With a Cheaper Stock -- Barrons.com
Dow Jones Newswires March 21, 2025 12:37:00 PM ET
Nvidia CEO Jensen Huang was resolute. At his company's annual GTC developers conference this past week in San Jose, Calif., he laid out a compelling vision for the artificial-intelligence industry while presenting an aggressive road map of coming products from his company. The announcements could leave chip rivals racing to catch up for years to come.
As I walked around the GTC exhibit floor, there was a palpable sense of excitement, with hundreds of people lining up for sessions and panels to hear about the latest AI advances in everything from robotics and healthcare to cutting- edge water-cooled server designs.
Yet, there is a disconnect. Despite the enthusiasm for the future of AI and how Nvidia semiconductors are central to it all, Nvidia shares have treaded water, trading at just 26 times forward price-to-earnings. That's an undemanding valuation for a company projected to boost revenue by 57% this year.
It's driven by three concerns: that AI chip demand could soften after the release of Chinese start-up DeepSeek's efficient models; rising chip competition from Broadcom; and uncertainty over President Donald Trump's threats to put tariffs on chip imports.
At GTC, Huang confidently addressed all three issues, arguing that none of them would impede Nvidia's bright prospects.
With respect to DeepSeek, Huang was particularly defiant, pushing back on the notion that DeepSeek would hurt demand for graphics processing units, or GPUs. During his GTC keynote address on Tuesday, he said the reasoning capability in DeepSeek's AI model, which takes more time to reflect before arriving at a higher-quality answer, is driving a substantial increase in demand for compute resources. That type of reasoning is increasingly used in most of the top AI models.
"Almost the entire world got it wrong," Huang said. "The amount of computation we need at this point as a result of agentic AI, as a result of reasoning, is easily 100 times more than we thought we needed this time last year."
It's a stunning point: One hundred times more compute needed than Nvidia expected just 12 months ago should put to rest questions about near-term demand.
The noise has grown louder when it comes to AI chip competition, as Broadcom CEO Hock Tan frequently tells Wall Street that his company will gain its "fair share" of the AI chip market by 2027 by helping large technology companies design their own AI semiconductors called application-specific integrated circuits, or ASICs.
At GTC, Huang pushed back. "A lot of ASICs get canceled," he replied when I asked him about Broadcom following his Tuesday GTC keynote. "The ASIC still has to be better than the best. How do they know it's going to be the best, so that it will be deployed in volume?"
The clear subtext? Broadcom's offerings won't be competitive with Nvidia.
Broadcom didn't respond to a request for comment about Huang's remarks.
On the question of tariffs, Huang said at a press event Wednesday that he isn't expecting a significant impact on the company's financials or outlook. He said Nvidia has an agile network of suppliers and can move orders to lower- tariff countries as needed, adding that Nvidia plans to bring more manufacturing to the U.S. over time.
In general, Nvidia made the case that the overall market opportunities for AI and AI data center infrastructure are expanding rapidly. Huang expects the industry will spend roughly $500 billion on data center capital expenditures this year, rising to more than $1 trillion by 2028, with Nvidia's GPU chip business gaining a larger share of the spending in the coming years.
Part of that will come from the growing number of Nvidia GPUs inside data centers. These so-called superclusters have grown from 16,000 GPUs to over 100,000 GPUs during the past year. Huang told me he's confident that several million GPU clusters would be built by 2027.
Then there's robotics. Nvidia executive Rev Lebaredian told me we're just at the beginning of an exponential ramp- up in the development of AI robotics. The combination of rising computing power and smarter AI models is making large advances in robotics possible. He believes there will be millions of humanoid robots in use, especially by industrial companies, within five years. I have no particular insight into whether robots are, in fact, imminent. But if it happens, it's one more degree of upside for Nvidia, which makes the hardware brains for robots.
Ultimately, the biggest development from GTC was Nvidia's aggressive product road map. During his keynote, Huang announced that the company's Blackwell Ultra AI server, available later this year, would outperform the current model by 50%. Then he said that the Vera Rubin AI server, scheduled for the second half of 2026, would be 3.3 times faster than Blackwell Ultra. The showstopper was the unveiling of the Rubin Ultra AI server -- set for late 2027 -- with 14 times the performance of Blackwell Ultra. That figure drew gasps from the audience.
Somehow, Nvidia stock barely moved on the news and closed lower on Tuesday amid a general market decline. As a longtime Nvidia watcher, I'm confounded by the lack of enthusiasm from Wall Street. The tech crowd understood the significance; eventually investors will, too.