Nvidia announces Blackwell, a new generation of AI chips available later in 2024, starting with the GB200 superchip, which pairs two B200 GPUs with a Grace CPU
- Nvidia on Monday announced a new generation of artificial intelligence chips and software for running AI models.
CNBC Kif Leswing
Related Coverage
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- When ENIAC first came online in 1945, it was rumored to take so much electricity that the lights in Philadelphia would dim when it was switched on. This is not true. It took so much electricity that they had to build a dedicated generator for it. … @ovid@fosstodon.org
- Blackwell platform — > 5x fp4 faster than hopper — > 2.5x fp8 faster than hopper — > 1/4 the cost training GPT4 than hopper … Ethan He
- Packed with 208 billion transistors, Blackwell-architecture GPUs are manufactured using a custom-built 4NP TSMC process with two-reticle limit GPU dies connected … Sameer Halepete
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Discussion
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@hellodavidryan
David
on threads
As a quantum computing insider I can say one thing clearly. Nvidia will be more impactful than IBM in quantum computing. The entire industry relies on simulation and emulation, and even QPUs rely on GPUs in the overall system. Plus Nvidia partners with all of us. As soon as i…
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@jjackyliang
Jacky
on threads
Hello NVIDIA is here to change the world again
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@laurengoode
Lauren Goode
on threads
“Most advanced GPU in production in the world” (Nvidia Blackwell). No word yet on how long companies will be waiting to get their hands on them 🙃
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@laurengoode
Lauren Goode
on threads
At GTC, Nvidia cofounder and CEO Jensen Huang has just officially revealed Blackwell, a “really really big GPU” (named after mathematician David Blackwell). Huang confirmed Blackwell was next GPU in my interview with him early this year https://www.wired.com/...
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@mikeisaac
Rat King
on x
one thing i will say is i really wish i had started learning about hard tech (i.e. chips) long ago i used to build computers as a teen but now i dont know shit and have spent the past 18 months trying to catch up still, am enjoying it because it is v important and interesting
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@jeffjarvis
@jeffjarvis
on x
Uncomfortable moment in NVIDIA keynote: New, bigger chip, on the left, is named after David Blackwell. The older, smaller was named after Grace Hopper. Yes. But it's now superseded. CEO Huang says to Hopper: “Good girl.” He read the room. He should've read the rest of the world.
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@firstadopter
Tae Kim
on x
Jensen says Blackwell will be the “most successful product launch” in Nvidia's history. He showed a flex slide with dozens of Blackwell launch customers after noting they had only two cloud customers last time. So much for the silly H100 lead time falling bear narrative.
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@mikeisaac
Rat King
on x
Nvidia debuts “Blackwell” GPU architecture with a veritable who's who of tech ceo quotes — Amazon's Jassy is the longest and jargoniest while Tesla's Musk is the most succinct (and least self promotional of the bunch) Zuckerberg notes LLaMA models will be trained on blackwell [im…
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@tunguz
Bojan Tunguz
on x
Ladies and gentlemen: Blackwell is here. #GTC24 [image]
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@ericjhonsa
Eric Jhonsa
on x
Between the raw compute gains, memory specs, FP4/FP6, and new inference microservices, $NVDA has a good inference sales pitch for the B100. Also, it's notable the GB200 uses copper rather than optics for NVLink interconnects. Maybe some read-through here for optics firms. [image]
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@quinnypig
Corey Quinn
on x
All of those companies who bought H100s and cited a half-decade depreciation schedule are mighty quiet today.
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@markhachman
Mark Hachman
on x
Nvidia Blackwell bringup board and some enterprise specs #GTC [image]
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@martyswant
Marty Swant
on x
“Ladies and gentlemen, I'd like to introduce you to a very, very big GPU.” - @nvidia's CEO Jensen Huang right before debuting #Nvidia's new Blackwell platform today at #GTC24.
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@anshelsag
Anshel Sag
on x
.@nvidia's Blackwell customers. Announces @AWS, @GoogleCloudTech, @Azure and @Oracle as lead CSPs. #GTC24 [image]
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@ctnzr
Bryan Catanzaro
on x
Four years ago, we split GA100 into two halves that communicate through an interconnect. It was a big move - and yet barely anyone noticed, thanks to amazing work from CUDA and the GPU team. Today, that work comes to fruition with the Blackwell launch. Two dies. One awesome GPU. …
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@firstadopter
Tae Kim
on x
Turns out some of Mark Zuckerberg's H100 compute equivalent GPUs are Nvidia Blackwell GPUs [image]
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@tomwarren
Tom Warren
on x
Nvidia has just announced Blackwell, its next-generation GPUs for AI. The Nvidia GB200 Grace Blackwell Superchip offers up to 30 times performance increase for LLM inference workloads and can scale to AI models with up to 10 trillion parameters https://www.theverge.com/... [image…
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@netcapgirl
Sophie
on x
all of these companies will be up 10% tomorrow [image]
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@firstadopter
Tae Kim
on x
Supermicro “anticipates being first-to-market in deploying full rack clusters featuring NVIDIA Blackwell GPUs.” B100/B200/GB200 for all! https://www.supermicro.com/...
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@benbajarin
Ben Bajarin
on x
Oh Blackwell ONLY has 128b more transistors than Hopper lol.
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@patrickmoorhead
Patrick Moorhead
on x
Here is the @nvidia Blackwell beast: • 20 PF (FP4), 10 PF (FP8) • “4x training, 30x inf, 25x energy eff” vs Hopper • 2 max reticle dies linked by 10TB/s NVHBI • 192GB HBM3E (Hey @MicronTech, SK-Hynix, @SamsungDSGlobal) • New NVLink & NVLink switch (to feed the beasts intra... [im…
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@drjimfan
@drjimfan
on x
Blackwell, the new beast in town. > DGX Grace-Blackwell GB200: exceeding 1 Exaflop compute in a single rack. > Put numbers in perspective: the first DGX that Jensen delivered to OpenAI was 0.17 Petaflops. > GPT-4-1.8T parameters can finish training in 90 days on 2000 Blackwells..…
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@nvidiagtc
@nvidiagtc
on x
Just announced at #GTC24! New Blackwell platform arrives to fuel accelerated computing and #generativeAI with NVIDIA GB200 NVL72. https://www.nvidia.com/... [image]
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@matdrewin
Mathieu Drouin
on x
@Carnage4Life Not seeing Tim Apple in that list.
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@amir
Amir Efrati
on x
Jensen Huang to CEOs: Tell me how much you lov— Every CEO: Done. [image]
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@migtissera
Migel Tissera
on x
Goodness me. 1x GPU Blackwell - 192GB VRAM 2x GPU Blackwell with CPU - 384 GB VRAM Unbelievable. [image]
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@carnage4life
Dare Obasanjo
on x
Is there a bigger flex than Nvidia getting a quote from every big tech CEO about how awesome their new Blackwell GPU architecture is? [image]
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@arm
@arm
on x
📢 The NVIDIA GB200 Grace Blackwell Superchip has arrived! It combines the NVIDIA Grace CPU, with 72 Arm Neoverse V2 cores ➕ Two NVIDIA B200 Tensor Core GPUs to enable the AI era. Congrats to the team! 👏 https://nvidianews.nvidia.com/ ...
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@jeffclune
Jeff Clune
on x
Every time I mention (the spirit behind) Moore's law and that it will continue to radically alter the world, people quibble and love to tell me how Moore's law is dead. They miss the forest for the tree roots. The gist is still right, and world-changing.
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@carnage4life
Dare Obasanjo
on x
@matdrewin This is an indication of Apple's relevance in AI...
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@aschilling
Andreas Schilling
on x
Welcome Blackwell! #GTC24 - TSMC 4NP - 208 Billion Transistors - 2x 800+ mm^2 - 10 TB/s NV-HBI - 700 - 1,200 W TDP - 192 GB HBM3E - 8 TB/s Memory BW https://www.hardwareluxx.de/ ... [image]
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@markhachman
Mark Hachman
on x
Jensen shows off an NVLink chassis with 130TB/s, or the aggregate bandwidth of the Internet (?!)
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@bindureddy
Bindu Reddy
on x
Nvidia Blackwell Is The New AI Superchip!! 👏👏 GPT-4-1.8T parameters can finish training in 90 days on 2000 Blackwells!! FWIW, I am very skeptical about needing 1T parameter models in the future. - Model architectures and sizes are becoming smaller - AI super chips are... [image]
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@mattmday
Matt Day
on x
Sometimes you risk reading too much into press release politics, but also lol NVIDIA extracted glowing product testimonials from dudes who run companies with a combined $1.5 trillion in revenue.
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@elonmusk
Elon Musk
on x
@DrJimFan The rate of change of the ratio of digital to biological compute is hyper exponential
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@conorsen
Conor Sen
on x
He's the man so this is probably wrong but I just reflexively recoil when people give presentations with charts like this: [image]
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@ryanshrout
Ryan Shrout
on x
Jensen is KILLING it on stage at #GTC2024 today, announcing Blackwell and making his case for @nvidia continuing to lead this AI compute race. Laughing, smiling, informative; clearly a man who is confident. The hardware is unrivaled. And the fact that he's filling arenas for... […
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@silvermanjacob
Jacob Silverman
on x
Under semiconductor nationalism, social security would be backstopped by shares of Nvidia.
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@thetranscript_
@thetranscript_
on x
$NVDA CEO launches its new generation of AI graphics chips called Blackwell: “Hopper is fantastic, but we need bigger GPUs” [image]
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@tomwarren
Tom Warren
on x
Nvidia's AI GPUs are getting big. “When somebody says GPU, I see this. Two years ago when I saw a GPU it was the HGX. It was 70lbs, 35,000 parts. Our GPUs now are 600,000 parts and 3,000lbs. That's kind of like the weight of a carbon fiber Ferrari,” says Nvidia CEO Jensen Huang […
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@abacaj
Anton
on x
Jensen announcing mega GPUs while consumers stuck with 24GB and 48GB. Lol it's over for open source, the best models will always need the cloud
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@martyswant
Marty Swant
on x
Nvidia's new Blackwell #AI chip is named after David Blackwell, a renowned mathematician known for contributions to game theory, probability & statistics. Blackwell, who died in 2010 at age 91, was the first Black American elected to the National Academy of Sciences. #GTC24
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@satyanadella
Satya Nadella
on x
Today we're expanding our partnership with @nvidia, as we build on our commitment to ensure customers have the most comprehensive platforms and tools across the Copilot stack, from silicon to software, to build their own breakthrough AI capability. https://news.microsoft.com/...
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@sytelus
Shital Shah
on x
If you were to train GPT-4, 1.8T params model, On A100, it will take 25k A100s and take 3-5 months. On H100, it will take 8k GPUs and take ~3 months. On B100, it will take 2k GPUs and take ~ 3 months. - Jenson at GTC.
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r/wallstreetbets
r
on reddit
Nvidia CEO Jensen Huang announces new AI chips: ‘We need bigger GPUs’
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r/artificial
r
on reddit
One-Minute Daily AI News 3/18/2024
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r/technology
r
on reddit
Nvidia reveals Blackwell B200 GPU, the “world's most powerful chip” for AI
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r/singularity
r
on reddit
Nvidia's GB200 NVLink 2 server enables deployment of 27 trillion parameter AI models
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r/technews
r
on reddit
Nvidia reveals Blackwell B200 GPU, the “world's most powerful chip” for AI
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r/teslainvestorsclub
r
on reddit
Nvidia reveals Blackwell B200 GPU, the “world's most powerful chip” for AI
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@drjimfan
@drjimfan
on x
Today is the beginning of our moonshot to solve embodied AGI in the physical world. I'm so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning. The GR00T model will enable a robot to understand multimodal.…
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@drjimfan
@drjimfan
on x
2024 is the Year of Humanoid. There's no robot hardware more general-purpose. We are all in.
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@cbdawson.bsky.social
Cian
on bluesky
Hmm, my list of questions and concerns is a mile long. Who designs, vets, and updates the models? What data are used, and who gets to decide that? And how do they convey the varying levels of uncertainty for different parameters? [embedded post]
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@martinvars
Martin Varsavsky
on x
This is the issue with climate change vs air pollution. Air pollution kills 7 million a year and climate change around 20k because we are so much better than a century ago in avoiding catastrophic weather than we were a century ago when many more used to die. But we are all...
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@pitdesi
Sheel Mohnot
on x
Among the things that AI makes better: Weather prediction Nvidia created a digital twin, called Earth 2, to simulate extreme weather events and calculate impacts. It's 10x more precise than existing predictions, should allow for mitigation of extreme weather impacts. [image]
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@mattlanza
Matt Lanza
on x
Remains to be seen if this is indeed 10x more precise *in practice*. There's a lot of selling of AI tools right now as companies jockey for positioning and hype. Every 1-2 weeks we are getting new tools. It will get increasingly difficult to quickly separate wheat from chaff.
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r/climate
r
on reddit
Nvidia announces Earth-2 digital twin to forecast planet's climate change