NVIDIA
14.2K posts
NVIDIA
@nvidia
The official handle for NVIDIA. Blog: https://t.co/JAn5eKOTBT Support: https://t.co/6ln5FVnA2o All our social media: https://t.co/Uc56dL57Dh
Santa Clara, CA Katılım Temmuz 2009
48 Takip Edilen2.6M Takipçiler
At VivaTech, we're sharing how France is turning AI ambitions into production reality.
AI factories are coming online, open models are advancing, and agents are being deployed across industries, including healthcare, telecommunications, manufacturing, energy, and retail.
From infrastructure to applications, France is helping lay the foundations for Europe's AI future with NVIDIA technologies.
Read the blog: nvda.ws/4vTllNV
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Registration for #NVIDIAGTC Berlin is now open. ✨
October 20–22, join the global AI community for expert-led sessions, hands-on training, and insights on how AI is transforming every industry.
Hear from NVIDIA CEO Jensen Huang, explore what's next across the AI stack, and connect with the developers, researchers, and leaders shaping what's next.
Register now.
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Thanks @satyanadella 👏
Great work with @Azure on one of the largest MLPerf Training submission to-date on NVIDIA Blackwell: 8,192 GPUs on NVIDIA GB200 NVL72 systems, Llama 3.1 405B training target met in only 7.07 minutes.
More to come!
Satya Nadella@satyanadella
New Azure milestone. The fastest time to train yet at the largest reported scale for this leading AI training benchmark. A great example of what is possible when we bring together full-stack innovation across silicon, systems, networking, and software, along with our deep partnership with @nvidia, to advance the frontier of AI infra. techcommunity.microsoft.com/blog/AzureHigh…
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@CoherentCorp Read more on how Coherent’s Sherman expansion is helping build the American manufacturing base behind the AI era: nvda.ws/4fLn6Ij
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AI infrastructure runs on more than compute. It runs on light.
Today in Sherman, Texas, Jensen Huang joined @CoherentCorp CEO Jim Anderson and local leaders to mark the expansion of U.S. manufacturing capacity for advanced photonics.
The technology is behind the lasers and optical links that move data across modern AI systems, strengthening the American manufacturing base behind the AI era.
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Learn how the NVIDIA platform and ecosystem enable AI model builders to launch frontier models faster, minimize training costs, and start generating revenue early. 🔗 nvda.ws/3SIOU6q
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The NVIDIA Blackwell platform just swept MLPerf Training 6.0, delivering fastest performance and largest scale.
Beyond the benchmarks, capabilities like the Reliability, Availability, and Serviceability Engine and NVIDIA Resiliency Extension deliver fewer interruptions and faster recovery to keep massive training jobs on track.
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👏 @IneffableLabs is building a superlearner that learns from experience, requiring enormous computational scale.
They chose NVIDIA Vera Rubin NVL72, one of the largest clusters on @GoogleCloud, to power their mission to reach superintelligence.
Google Cloud UK & Ireland@GoogleCloud_UKI
Google Cloud and @IneffableLabs today announced a strategic partnership in which Google will provide the specialised infrastructure for Ineffable's new frontier AI lab. Read the full announcement, here → goo.gle/3Sa9sES #GoogleCloudSummit
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NVIDIA retweetledi
80% faster. Purpose-built for agents.
NVIDIA Vera isn’t a CPU upgrade. It’s a new category.
Our CEO Jensen Huang said it best: “We built Vera for agents to use.”
Learn more: nvda.ws/4vaEWZT
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⚡Energy is the foundation of the AI 5-Layer Cake.
As AI demand accelerates, energy is the key constraint on growth. From power and utilities to surface and subsurface operations — AI, digital twins, and intelligent agents are transforming how energy is produced and managed, unlocking capacity and improving efficiency at scale.
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The first agentic AI infrastructure benchmark is here.
An AI agent chains dozens to hundreds of AI model calls together, using tools, gathering context, and iterating until the task is done. Existing benchmarks weren't designed for that.
AgentPerf from @ArtificialAnlys gives developers, enterprises and infrastructure providers a clear way to compare accelerated computing systems for agentic AI.
First round of results highlight that NVIDIA Blackwell delivers 20x more agents per megawatt than NVIDIA Hopper.
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Computing is undergoing its biggest shift in 60 years.
Our CEO Jensen Huang explains why the world is moving from retrieval to generation—expanding what humanity can build, discover, and solve.
This shift represents a multi trillion dollar opportunity across the 5 layer AI cake ecosystem.
@Sequoia
Konstantine Buhler@Konstantine
Jensen Huang is a titan and a teacher. He recently sat down with me to explain his vision of the future of technology and humanity. He’s calm, clear, and very funny. We touched on many topics, ranging from the $20T or more AI economy in five layers to changes in labor for the AI age. Here are some of my main takeaways: 1) The world is moving from retrieval to generation 2) Generation offers intelligence customized to the individual 3) Nvidia is making the "generators" of intelligence 4) We've seen this kind of revolution at least three times before with energy (Generators), Telecommunications (vacuum tubes / transistors?), and now intelligence (GPUs) 5) There is a five-layer cake of participation in this many-many trillion dollar revolution: Energy, Chips, Infra, Models, and Applications. 6) There are many ways to participate in this revolution, and everyone has a role 7) We'll be pushed to dream up new problems to solve with this unprecedented intelligence 8) In this new future, it's not just having the answer, it's having the right questions 8) The right questions will drive us toward our individual and collective human purpose 9) We move from the carpenters to the architects I believe this is the realistic future. Thanks to Jensen and the entire @nvidia team for the conversation and for letting us share! 00:00 Introduction 00:42 From Chatbots to Generative AI 03:35 Agentic AI That Does Work 05:26 Downstream Industry Impact 06:25 Computing Shifts From Retrieval to Generation 11:26 A Planet Cocooned by Intelligence 14:27 Inside the NVIDIA AI Factory 20:48 AI Five Layer Cake 21:58 Beyond Chatbots to Biology 23:54 Tokens and World Models 24:53 Trillions in Applications 27:13 Ditch the AI Doom 31:32 Jobs Tasks vs Purpose 38:40 Closing the Tech Divide
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NVIDIA retweetledi
Wondering what Agentic AI means for developers?
In this GTC session, Bill Dally (Chief Scientist and SVP of Research, NVIDIA) and Jeff Dean (Chief Scientist, Google DeepMind and Google Research) discuss how agents can act like a senior mentor in your stack to rapidly deploy experiments and more.
Advancing to AI's Next Frontier – Bill Dally and Jeff Dean nvda.ws/3QsESWp
#NVIDIAGTC
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Huge congratulations to the @SpaceX team on a historic IPO debut.
Fueling the next frontier of space and AI. 🌌
NVIDIA's partnership with SpaceX spans nearly a decade, from hand-delivering the world's first #NVIDIADGX-1 supercomputer in 2016 to the custom DGX Spark handoff at Starbase. Together, we've been pushing the boundaries of accelerated computing to help power the future of space exploration.
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