Nvidia says it is “delighted by Google's success” but “Nvidia is a generation ahead”, after a report that Meta could use Google's TPUs in its data centers
Nvidia on Tuesday said its tech remains a generation ahead of the industry, in response to Wall Street's concerns … Source: @nvidianewsroom .
Context & Ripple Effects
The reported Meta interest follows Google's effort to pitch TPUs to external customers, moving its in-house accelerator program closer to a direct challenge for data-center deployments outside Google.
Nvidia's response frames Google as both a customer and an emerging rival. Subsequent analysis of Google's TPUv7 Ironwood positioning underscores why a possible Meta deployment has become a meaningful competitive signal.
First-order effects
- Nvidia must defend its performance and platform lead publicly while preserving Google as a customer; its “generation ahead” claim directly addresses investor concern over TPU adoption.
- Google gains validation for selling TPUs beyond its own infrastructure if Meta proceeds, while Meta would gain a potential alternative source of AI compute.
Second-order effects
- A credible TPU option at Meta would increase pressure on Nvidia to compete on the full stack—hardware, software, networking and supply—not solely accelerator performance.
- Other large AI buyers could more seriously evaluate second-source compute, especially where dependence on one accelerator supplier constrains procurement or deployment choices.
Third-order effects
- If hyperscalers can turn internal chips into products for peers, AI infrastructure could shift from a largely merchant-accelerator market toward more heterogeneous, vertically integrated compute fleets.
- The durability of Nvidia's lead will increasingly depend on ecosystem lock-in and execution across generations, while challengers must prove their chips work reliably in customers' existing data centers.
The trend: This is one data point in the shift toward heterogeneous AI compute, as cloud providers seek to commercialize in-house accelerators and buyers seek viable alternatives to a dominant supplier.
Related: Heterogeneous AI compute · Second-Source Compute · Google · Meta · Google pitches TPUs to Meta and financial institutions · TPUv7 Ironwood and Google's challenge to Nvidia
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Discussion
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@nvidianewsroom
@nvidianewsroom
on x
We're delighted by Google's success — they've made great advances in AI and we continue to supply to Google. NVIDIA is a generation ahead of the industry — it's the only platform that runs every AI model and does it everywhere computing is done. NVIDIA offers greater performanc…
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@lulumeservey
Lulu Cheng Meservey
on x
Google should post this [image]
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@andrew_n_carr
Andrew Carr
on x
[image]
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@jack_raines
Jack Raines
on x
Is it bearish or bullish when a $4t company's Twitter account is trying to keep the stock price up?
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@ivanthek
@ivanthek
on x
[image]
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@ns123abc
Nik
on x
Jensen right now... [image]
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@lulumeservey
Lulu Cheng Meservey
on x
Compare Jensen's personal communication skills (excellent) vs. the quality of NVIDIA's social and corporate comms (see below) Imagine the difference in vibes if we only got the NVIDIA posts and not the Jensen pain and suffering and chicken and beer videos Founders, go direct
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@dvassallo
Daniel Vassallo
on x
Why would a $4.2T market leader feel the need to post this if they were so unconcerned about Google's AI chips?
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@alexinexxx
@alexinexxx
on x
[image]
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@astuyve
AJ Stuyvenberg
on x
My “we're the most valuable company on earth and are obviously a generation ahead of the competition” t-shirt has people asking a lot of questions already answered by my shirt
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@atelicinvest
@atelicinvest
on x
this is the most beariest shit i've read in a long time
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@giffmana
Lucas Beyer
on x
Sorry, my little one wrote this!
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@lulumeservey
Lulu Cheng Meservey
on x
Odd post, feels defensive and copey It comes off like they're more threatened than expected for some reason Specifically: - focuses the post on Google instead of themselves, so the whole framing is reactive - hollow marketing speak like “does it everywhere computing is done”
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@joecarlsonshow
Joseph Carlson
on x
I'm sorry but this is not even a post to pump Google. Saying “congrats to Google but our product is still better” on X, unsolicited, looks terrible. I have no doubts Nvidias product is better. They're the kings at what they do. But they have to realize how terrible that post
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@qcapital2020
@qcapital2020
on x
I dunno boys but having the largest company in the world sending tweets to defend their main product is not very reassuring lol
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@nearcyan
Near
on x
the people have discovered google had an nvidia inside of it
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@orphcorp
@orphcorp
on x
incredible what happens when your co-founder comes back from retirement 2 years ago Google was thought to have missed the train, then Sergey Brin comes back, and now we have nvidia coping publicly
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@litcapital
@litcapital
on x
“We're delighted by Google's success” [image]
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@alexeheath
Alex Heath
on x
Is the world's most valuable company OK
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@pitdesi
Sheel Mohnot
on x
which LLM wrote this? embarassing I've been an Nvidia ultrabull - this doesn't inspire confidence
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@skiminok
@skiminok
on x
Kudos to the unnamed social media intern for giving us all a new NVDA dip to buy. Some heroes stay unsung.
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@rahmeljackson
@rahmeljackson
on x
Nvidia seeing those TPUs [image]
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@suchenzang
Susan Zhang
on x
surely someone at nvidia sees how bad this looks... right? 👀 [image]
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@bearlyai
@bearlyai
on x
On the BG2 podcast in September, Jensen Huang made similar case saying that Nvidia's full AI infrastructure package (chip, networking, data centre) is so efficient that competitors can price their chips at $0 and Nvidia would still be the better option. [video]
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@zephyr_z9
@zephyr_z9
on x
The rumors of Nvidia's demise after Meta TPU deal are greatly exaggerated
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@trungtphan
Trung Phan
on x
Nvidia's social media intern at the all-hands meeting tomorrow explaining which chatbot he used to draft this post about Google's TPUs [image]
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@zephyr_z9
@zephyr_z9
on x
Why is Nvidia's PR so defensive nowadays??
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@birdyword
Mike Bird
on x
Amazing that this is still up
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@beffjezos
@beffjezos
on x
Imagine being a $5T company and approving a post made of pure distilled copium like this
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@amitisinvesting
Amit
on x
Research scientist at $GOOGL Google DeepMind who works on TPU design about the $NVDA selloff today: “The selloff shows how clueless the market is about hardware and the demand.”
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@arjunality
@arjunality
on x
short everything [image]
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@levelsio
@levelsio
on x
This tweet will go down in time as a very specific moment where things changed for Nvidia
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@buccocapital
@buccocapital
on x
Feels like a tweet that shouldn't have been sent
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@tszzl
Roon
on x
TPUs are obviously bad for NVIDIA. it doesn't take a genius to realize two companies A and B collecting oligopoly margins make far less profit collectively than one company A collecting monopoly margins
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@jessicalessin
Jessica Lessin
on x
A rare Nvidia statement of this kind one day after this @theinformation story detailed—for the first time—how Google plans to sell/rent TPUs outside of Google Cloud. https://www.theinformation.com/ ...
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@bubbleboi
Bubble Boi
on x
If you actually understand how computers work, you will make a ton of money in this market . Nobody in Silicon Valley or Wall Street knows how chips work anymore. Google is taking half of Nvidia's market share and market cap. But the real winner won't be Google it's going to be
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@patrickmoorhead
Patrick Moorhead
on x
All true.
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@mweinbach
Max Weinbach
on x
This is true! A single Ironwood rack (64 chips) is roughly equal to a GB200 NVL72, and GB300 NVL72 is roughly 30-40% faster on my back of napkin math for just memory and FLOPS In real world tasks, idk haven't seen Ironwood tested
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@ayazdanb
Amir Yazdan
on x
@_arohan_ The selloff shows how clueless the market is about hardware and the demand.
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@fedemolina
Fede Molina
on x
This is exactly what you shouldnt do when you are the leader. Acknowledging Google here legitimizes them and amplifies the narrative you are trying to shut down. Very sloppy by the PR team at NVIDIA.
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@kylelogiks
Kyle Logiks
on x
“Congrats Google” “To everyone else, if you want to keep up with Google, you need to buy more gpus”
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@barexamtutor
@barexamtutor
on x
I've been singing Nvidia praises on here since early 2023. https://x.com/... This is a little weird, though. “We're delighted by Google's success. But we're BETTER.” Amazing company, though. It still has as much potential as I thought it might have back in 2023.
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@vanshkharidia
@vanshkharidia
on x
The fact that Nvidia had to acknowledge TPUs speaks volumes, they've never spoken about AMD GPUs this way AFAIK
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@mohapatrahemant
Hemant Mohapatra
on x
Nvidia played a 30+ yr game but not enough has been written about the 10+ yr game Google has played with TPUs. I still remember the 2016 Google i/o when it was launched. The internal funding for it was basically cobbled together from other failed projects that had leftover $s,
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@firstadopter
Tae Kim
on x
Let me get this straight. Nvidia shares are selling off on a report that says Google is hoping for 10% of the AI chip market (emphasis on hoping for, there's no guarantee). Who do you think makes up the other 90% even if that happens?
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@bigtechalert
@bigtechalert
on x
🆕 @nvidia is now following copium
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@mgsiegler
M.G. Siegler
on x
On the plus side, this statement doesn't mention Enron.
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@stocksavvyshay
Shay Boloor
on x
$NVDA just responded to the $GOOGL TPU headlines. Nvidia basically just said “congrats on the TPUs” while reminding everyone it's still a full generation ahead and the only platform that can run every major AI model anywhere it needs to run. [image]
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@dratchcap
Matt Dratch
on x
The “TPUs = bad for NVDA” take is up there with the dumbest yet (maybe worse than DeepSeek) as it *completely misses* what actually happened in just the last 6 weeks. And I will remember *who is who in the zoo*. My view... 1) Demand for AI is bananas (no one can meet demand,
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@rihardjarc
Rihard Jarc
on x
Reports that $META is considering spending billions of dollars on $GOOGL TPUs are causing a splash. Here is why it makes perfect sense for $META to go and use TPUs: 1. $META just saw $NVDA invest and significantly help two of their biggest rivals in the AI labs race: OpenAI and…
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@jimcramer
Jim Cramer
on x
Please remember that the actual vendor on the Google TPU chips is Broadcom and Hock Tan, ceo of Broadcom, is on the board of Meta. The most likely winner here is Broadcom because that is who Meta would contract with....
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@carnage4life
Dare Obasanjo
on bluesky
I would never have imagined that the bear case for Nvidia would be Google building AI chips that would eat into their market share. — The news that Gemini 3 was mostly trained and run on its own TPUs instead of Nvidia GPUs has created a new and unexpected competitor for Nvidia.
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r/singularity
r
on reddit
Meta is considering Google TPUs for their data centers worth billions.