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Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. ✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That work is starting to... show more

NVIDIA AI

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19,296 次观看 • 4 个月前 •via X (Twitter)

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📈 NVIDIA tops AI leaderboards and benchmarks with open models driven by extreme co-design across compute, networking, memory, storage, and software. This includes models for biology, AI physics, agentic AI, physical AI, robotics, and autonomous vehicles. By being vertically integrated and horizontally open, NVIDIA enables its ecosystem to scale agentic workflows at every layer of the stack with the lowest cost per token.

📈 NVIDIA tops AI leaderboards and benchmarks with open models driven by extreme co-design across compute, networking, memory, storage, and software. This includes models for biology, AI physics, agentic AI, physical AI, robotics, and autonomous vehicles. By being vertically integrated and horizontally open, NVIDIA enables its ecosystem to scale agentic workflows at every layer of the stack with the lowest cost per token.

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Different voices. Same answer: open models. NVIDIA Founder and CEO Jensen Huang sat down with the leaders from Mistral AI, BlackForestLabsAI - Unofficial, Cursor, LangChain, Perplexity, Reflection, Thinking Machines, Ai2, OpenEvidence, and AMP PBC to discuss the rapid rise of open frontier models. Get the top takeaways from the frontier of AI:

Different voices. Same answer: open models. NVIDIA Founder and CEO Jensen Huang sat down with the leaders from Mistral AI, BlackForestLabsAI - Unofficial, Cursor, LangChain, Perplexity, Reflection, Thinking Machines, Ai2, OpenEvidence, and AMP PBC to discuss the rapid rise of open frontier models. Get the top takeaways from the frontier of AI:

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Sat down with Kari Ann Briski, VP of Generative AI Software for Enterprise @ NVIDIA, to discuss NVIDIA’s Nemotron open models, how training data can be used for building agentic systems, and scaled AI enterprise adoption. Thank you to Kari NVIDIA AI Developer for taking the time!

Sat down with Kari Ann Briski, VP of Generative AI Software for Enterprise @ NVIDIA, to discuss NVIDIA’s Nemotron open models, how training data can be used for building agentic systems, and scaled AI enterprise adoption. Thank you to Kari NVIDIA AI Developer for taking the time!

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NVIDIA open models provide the foundation to innovate across agentic AI, robotics, autonomous vehicles, and research. 🤖 This release contributes 10 trillion language tokens, 500,000 robotics trajectories, and 100 terabytes of vehicle sensor data to the community. These frameworks are designed to significantly accelerate specialized AI development and discovery. Learn more:

NVIDIA open models provide the foundation to innovate across agentic AI, robotics, autonomous vehicles, and research. 🤖 This release contributes 10 trillion language tokens, 500,000 robotics trajectories, and 100 terabytes of vehicle sensor data to the community. These frameworks are designed to significantly accelerate specialized AI development and discovery. Learn more:

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Nvidia boss Jensen Huang hailed the quality of China’s AI models, calling DeepSeek's open source reasoning model a 'breakthrough.' Watch this week's AI weekly for more

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🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️

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At CES, our CEO Jensen Huang unveiled how physical AI is coming to life in factories, robots and the next wave of autonomous vehicles with Rubin, GR00T, Alpamayo and more. Watch the keynote: Read the announcements:

At CES, our CEO Jensen Huang unveiled how physical AI is coming to life in factories, robots and the next wave of autonomous vehicles with Rubin, GR00T, Alpamayo and more. Watch the keynote: Read the announcements:

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“When AI is open, it proliferates everywhere.” Jensen Huang explains why open models are fueling the AI revolution, activating innovation across industries, startups, researchers, students, and countries worldwide. Learn more about our open models →

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🧵 We are expanding our open model families—including Nemotron, Cosmos, and BioNeMo—to advance development in agentic AI, physical AI, healthcare, and more. 👇

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Watch our CEO Jensen Huang outline the blueprint for America’s AI century in Washington, D.C. at NVIDIA GTC. From national AI infrastructure and quantum computing to robotics and reindustrialization, see how NVIDIA and its partners are advancing America's AI leadership.

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30,509 次观看 • 4 个月前

Our CEO Jensen Huang and Dell Technologies Chairman & CEO Michael Dell kicked things off at #DellTechWorld in Las Vegas with a look at how the Dell AI Factory with NVIDIA is redefining how companies build, run, and scale AI. We saw NemoClaw powering agentic AI on-prem, robots demonstrating physical AI in the real world, and sessions packed with enterprise use cases.

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As AI labs race to train and deploy new frontier models, existing models become more affordable with better tokenomics. ✨ "Everybody's trying to get to the next frontier. And every time they get to the next frontier, the last generation AI tokens, the cost starts to decline about a factor of 10x every year," said NVIDIA CEO Jensen Huang in a recent keynote. Model optimization techniques such as speculative decoding and multi-token prediction, combined with inference serving platforms like NVIDIA Dynamo on NVIDIA Blackwell NVL72 systems, enable AI factories to boost throughput by 10x with one-tenth of the cost per token. Learn more about AI factory tokenomics ➡️

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Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️

Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️

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