Nvidia News
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The era of robotics is here, billions of robots, hundreds of millions of autonomous vehicles and hundreds of thousands of robotic factories and warehouses will be developed.
I’m on an iPad -on holiday so excuse the short blurbs
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And with respect to further announcements, I'm going to be on the road next week through Europe. And it's -- just about every country needs to build out AI infrastructure and their umpteenth AI factories being planned. I think in the remarks, Colette mentioned there's some 100 AI factories being built. There's a whole bunch that haven't been announced.
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The era of robotics is here, billions of robots, hundreds of millions of autonomous vehicles and hundreds of thousands of robotic factories and warehouses will be developed.
I’m on an iPad -on holiday so excuse the short blurbsLike what exIM said - happy hols Adam. I hope they are going well. Don't work too hard - the clue is in the name ("holiday")!
@Adam-Kay said in Nvidia News:
The era of robotics is here, billions of robots, hundreds of millions of autonomous vehicles and hundreds of thousands of robotic factories and warehouses will be developed.
Am I the only one who can hear this being said in a Trump voice and finding it quite amusing ... ?
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Fantastic news…..
A few people eating humble pie
Have a great break Adam and really appreciate all your insights etc -
They have pretty much modelled their go fwd revenue by quarter at +8b qoq. 47/55/63/81/90. With Rubin dropping in dec/jan we will see another increase due to higher ASP. Remember `Rubin is packaged in the same lines as Blackwell so we won’t see the fade/ramp during the switch.
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Enjoy your holibobs!
We’re in Pamplona, having driven down the west coast of France visiting places for a couple of days along the way: the weather has been fabulous (although it did hit 35° yesterday, which is too hot for me 🥵).
Should cool a little from Sunday around here, which is good, as I am walking 80 miles of the Camino Norte with a pal & his son
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It’s netting a bit over 4%. It’s as safe as any bank deposit-if diversify = safer then more so. Comparing like for like I doubt the 4.26% you quote is ‘on-call’. I would guess that’s a locked in rate. Our MM is a daily rate.
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I've just bought a 5080 GPU, doing my part to bump up the share price...
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Samsung’s integration of Perplexity AI into its Galaxy ecosystem, including the Galaxy S26 series launching in 2026, is a landmark deal. Valued at $9 billion after a $500 million funding round in December 2024(and $14B today), Perplexity AI, a search-focused AI platform, challenges Google’s dominance. Samsung’s move to preload Perplexity’s app and assistant, potentially as the default, and embed its technology into Bixby and Samsung’s browser, includes a significant investment from Samsung. This reduces reliance on Google’s Gemini, mirroring Apple’s multi-AI strategy. Perplexity’s major shareholders include NVIDIA, which invested across multiple rounds (January 2024: $73.6 million; April 2024: $63 million; December 2024: $500 million), alongside Institutional Venture Partners (IVP), Jeff Bezos and a few other heavy hitters. Exact ownership stakes are undisclosed, but NVIDIA and IVP are likely among the largest.
This partnership, Samsung’s biggest AI mobile deal and Perplexity’s largest mobile integration after Motorola, could skyrocket Perplexity’s user base and revenue.
Set for announcement soon, this bold move challenges Google’s Android AI dominance and signals Samsung’s intent to reshape the AI landscape, making it a pivotal industry shift. It has GOOG/Iphone vibes. Concerns for Google-no, it might even help their anti trust position in the market and drive them to innovate, faster.
Nice move by Nvidia -investing their $$ further up the value chain. At todays valuation this represents a 30X gain.
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Reports are circulating that Huawei’s Ascend AI chips, notably the Ascend 910C, are struggling to gain traction in China’s AI market, with some calling them subpar. The chips are reportedly plagued by overheating issues, which is a big red flag for reliability and has put off major Chinese tech firms, many of whom are Huawei’s rivals and wary of adopting its tech. Huawei’s software, the Compute Architecture for Neural Networks (CANN), is also lagging behind NVIDIA’s CUDA platform. CUDA’s well-established ecosystem and developer-friendly tools create a lock-in effect, making it tough for Huawei to compete, as CANN struggles with compatibility and performance. While U.S. restrictions on NVIDIA’s H20 GPUs have given Huawei a slight edge in China, its global ambitions are hamstrung by sanctions and supply chain woes. Production yields for the 910C, built on SMIC’s 7nm process, are reportedly stuck at around 30%, limiting scalability. Despite Huawei’s claims that the 910C rivals NVIDIA’s H100, these issues—overheating, weaker software, and geopolitical barriers—mean it’s got a steep hill to climb to challenge NVIDIA’s dominance in the AI chip race.
Don't count out the new Nvidia B20 (H20 replacement). Imo Nvidia is very much still in the China market. It's also a reminder-CUDA is king, not just the chip. 7nm vs TSMC 2nm/5nm and yields at 90%. Maybe Huawei needs some DLC
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JH is arriving in Europe this weekend and is due to meet many Heads of State as well as present at a couple of conferences. Likely we will hear of further Sovereign AI/Token factory initiatives next week! There could be a giant EU project brewing to rival Stargate.
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Nvidia’s next-gen Rubin GPU and Vera CPU chips will finish tape-out(the final stage of the design process) at TSMC in June and begin trial production, with sample chips in September, earliest, media report, citing unnamed supply chain sources. TSMC will make Rubin on N3P and CoWoS-L advanced packaging.
Sample chips will then be delivered to their ODM partners to start incorporating them into their various product designs. The time line, which would suggest mass production starting in the Q2/2026 range is approx 9 months ahead of their previously publicises roadmap-a staggering speed of architectural progress.
Given the R200 is rated at 1.8KW per chip I would expect full sized racks to have a TDP (thermal Design Power) of up to 180KW/rack and cost somewhere between $5-$6 million.
Note: The Rubin chip is packaged on the same CoWoS-L process as Blackwell which means we will not see the clunky ramp observed during the Hopper to Blackwell transition. Further, existing cooling systems (CDU rated to 250KW) allows built in headroom to manage thermals which should mitigate any cooling issues.
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Hi ExIM
Actually the annual performance increase is much more creating exponential performance gains. By 2028 we should see up to 700X more performance that GB200 today. By 2031 about 1 million X. This is what Jensen is driving at when he says 'I want to reduce the cost of inference to almost zero'. You have machines that are so powerful they produce vastly more tokens for the same cost. Whilst there are other costs like power and bandwidth bottlenecks resulting in non linear cost drops, you will see todays 10 cents/1000 token cost fall to '.001 cents' or less. There is a direct relationship between Nr of tokens and the complexity of the given problem(to solve).
In AI, a token is a small unit of text, like a word, punctuation mark, or part of a word, that the system processes.
How is token generation growing:
Microsoft processed over 100 trillion tokens, a ~5× increase YoYGoogle’s monthly token volume increased by ~50× in the past year
AI Agents (“super agents”):
Per Barclays, AI super-agent users might consume 36 million to 356 million tokens/year per user
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Today
1 Billion? I didn't expect much given the state of our books.
Leaders he says....: The European Commission, led by President Ursula von der Leyen, announced the InvestAI initiative at the AI Action Summit in Paris . This initiative aims to mobilise €200 billion for AI investments across Europe over the next five years.
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Ian Buck, NVIDIA's Vice President of Hyperscale and High-Performance Computing, made the comment....."You're only seeing a small glimpse in the public papers of what the true behind the scenes world class work has actually been able to do," about AI during a fireside chat at the Bank of America Global Technology Conference.
His statement, highlights that the public and even industry observers are only privy to a limited view of AI's current capabilities. This suggests that significant advancements, likely in areas like AI model performance, scalability, or novel applications, are being developed in private by leading tech companies, research labs, or NVIDIA itself. Buck's role at NVIDIA, a key player in AI hardware and software, implies he’s referring to cutting-edge work enabled by their technology, such as advanced GPU architectures or AI frameworks like CUDA.
I think this makes a lot sense and is very interesting. Why else would the industry pile a trillion USD+ into it. The unprecedented surge in spending and a race to scale.
BTW GPT 5 is due out during the summer.
