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We've reinvented computing... A thousand CUDA-X libraries help developers make breakthroughs in every field of science and engineering." — Jensen Huang From cuOpt for decision optimization to Parabricks for genomics, the foundation of every modern breakthrough is a "beautiful algorithm".

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NVIDIA

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40,205 次观看 • 1 个月前 •via X (Twitter)

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In 2006, NVIDIA made a bold bet on a parallel computing platform that would eventually redefine the limits of science and industry. 20 years later, CUDA serves as the foundation for 6 million developers worldwide—and we are only just beginning. Join the next wave of architects and build what’s next on two decades of innovation. 🔗
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In 2006, NVIDIA made a bold bet on a parallel computing platform that would eventually redefine the limits of science and industry. 20 years later, CUDA serves as the foundation for 6 million developers worldwide—and we are only just beginning. Join the next wave of architects and build what’s next on two decades of innovation. 🔗

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⚡Over 6000 applications are accelerated by #CUDA, powering breakthroughs in life sciences, material sciences, physics, quantum computing, CFD, and much more. 🌐 With over 7M developers, 600M downloads, and 1,000+ SDKs and models, CUDA-X libraries are the driving force behind innovation, adopted by leading #supercomputing centers worldwide to tackle the toughest computational challenges. #SC25
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⚡Over 6000 applications are accelerated by #CUDA, powering breakthroughs in life sciences, material sciences, physics, quantum computing, CFD, and much more. 🌐 With over 7M developers, 600M downloads, and 1,000+ SDKs and models, CUDA-X libraries are the driving force behind innovation, adopted by leading #supercomputing centers worldwide to tackle the toughest computational challenges. #SC25

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The real story behind NVIDIA CEO Jensen Huang is not overnight success. He spent decades betting on a revolutionary way to compute that few believed in, building today’s lead in AI and accelerated computing. In this CNBC segment, “The Thinking Machine” author Stephen Witt captures how long-term vision, grit, and relentless engineering at NVIDIA built the foundation for today’s AI era.
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Jensen Huang says the single greatest potential of AI is to transform biology from a life science into life engineering to improve healthcare and he "can't imagine" what the field will be like in 10 years
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X-FLEXI – AI computing computer room Every decision replayable Every order traceable Every optimization visible #XFLEXI
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NVIDIA CEO Jensen Huang outlines the next phase of accelerated computing and AI — from national AI infrastructure and quantum computing to robotics and reindustrialization. Broadcast from the nation’s capital, #NVIDAIGTC Washington, D.C. highlights how NVIDIA and its partners are advancing America’s AI leadership. Watch the keynote >
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In 2016, Jensen Huang hand-delivered the world’s first AI supercomputer to a startup in San Francisco called OpenAI. The culmination of a decade of work from thousands of NVIDIA engineers, DGX-1 set the stage for a new industrial revolution.
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In 2016, Jensen Huang hand-delivered the world’s first AI supercomputer to a startup in San Francisco called OpenAI. The culmination of a decade of work from thousands of NVIDIA engineers, DGX-1 set the stage for a new industrial revolution.

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"We're in full volume production of Blackwell, and every company in the world is champing at the bit for us to ship it to them" - Jensen Huang, $NVDA We've never seen anything like this before.
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The performance limits in every field of engineering are determined by material properties Radical AI led by Joseph Krause is developing a closed-loop robotic system with AI foundation models for material science To drive humanity farther, faster, more durably than ever
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We are proud to share that our CEO, Jensen Huang, was recognized in TIME’s list of the #TIME100AI for 2025.
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"The inflection point for inference has arrived." — Jensen Huang, Founder & CEO of NVIDIA We’ve officially crossed a new milestone in the inference era — where widespread adoption of AI shifts from learning to doing. The breakthrough: extreme codesign across hardware and software driving down cost per token. Lower cost → more inference More inference → more users and applications More users and applications → exponential AI revenue growth
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From rockets to AI. Nine years after the original NVIDIA DGX-1 handoff, Jensen Huang delivered a brand-new DGX Spark to Elon Musk at Starbase. 🚀✨ The DGX Spark is a petaflop powerhouse built for creators, researchers, and developers — a desktop-sized supercomputer with five times the performance of the first DGX-1. Filmed at SpaceX’s rocket factory in Texas, this moment captures a conversation between the two visionariesI. ➡️ 📹 #SparkSomethingBig
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