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NVIDIA

14.2K posts

NVIDIA

@nvidia

The official handle for NVIDIA. Blog: blogs.nvidia.com Support: nvda.ws/2ei5pio All our social media: nvda.ws/2wmlfGB

Santa Clara, CA

Joined July 2009

NVIDIA
@nvidia
10h
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
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NVIDIA
@nvidia
10h
🔗
NVIDIA GTC Berlin 2026: The Global AI, Robotics, and Deep Learning Conference
From nvidia.com
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NVIDIA
@nvidia
Jun 17
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
Jun 16
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
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NVIDIA
@nvidia
Jun 16
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
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NVIDIA
@nvidia
Jun 16
Read more on how Coherent’s Sherman expansion is helping build the American manufacturing base behind the AI era:
Coherent Breaks Ground on Expanded Texas Facility, Scaling AI’s Optical Backbone
From blogs.nvidia.com
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NVIDIA
@nvidia
Jun 16
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
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NVIDIA
@nvidia
Jun 16
Learn how the NVIDIA platform and ecosystem enable AI model builders to launch frontier models faster, minimize training costs, and start generating revenue early. 🔗
Fastest, Largest, Strongest: NVIDIA Blackwell Sweeps MLPerf Training 6.0
From blogs.nvidia.com
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NVIDIA
@nvidia
Jun 16
Correction: GB300 NVL72 delivers 1.6x performance on DeepSeekV3 pretraining at 512 GPU scale. (Ref: results 6.0-0022 and 6.0-0101)
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NVIDIA
@nvidia
Jun 16
👏 @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
Jun 16
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 reposted
NVIDIA AI Infrastructure
@NVIDIAAIInfra
Jun 15
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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NVIDIA
@nvidia
Jun 15
⚡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,
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NVIDIA
@nvidia
Jun 15
Explore NVIDIA’s energy solutions:
Global Energy Solutions: Accelerate the Energy Industry With NVIDIA AI
From nvidia.com
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NVIDIA
@nvidia
Jun 12
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
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NVIDIA
@nvidia
Jun 12
Learn more:
NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark
From blogs.nvidia.com
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NVIDIA
@nvidia
Jun 12
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
Konstantine Buhler
@Konstantine
Jun 10
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
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NVIDIA reposted
NVIDIA GTC
@NVIDIAGTC
Jun 8
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
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NVIDIA
@nvidia
Jun 12
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
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NVIDIA
@nvidia
Jun 12
Looking back at these clips from GTC Taipei and reminiscing on what an incredible week it was. There’s nothing quite like the buzz of the tech community coming together in person. From the packed keynote hall and cutting-edge robotics to the fun local activations (and yes, those
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NVIDIA reposted
NVIDIA AI
@NVIDIAAI
Jun 11
One open model. 350,000+ motion clips. 15,000 FPS. MotionBricks from NVIDIA Research runs real-time character animation at scale, without hand-crafted transitions or fine-tuning. And yes, it works for robotics too. #SIGGRAPH2026 paper, demos + code: nvlabs.github.io/motionbricks
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