NVIDIA HPC Developer
@NVIDIAHPCDev
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See the latest HPC developer news and resources from @NVIDIA. Be sure to check out our NVIDIA Technical Blog for more.
Santa Clara, CA
Joined November 2009
A preview Into the future of #quantum-GPU computing: At GTC Washington, D.C., we announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. In the expo
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Excited about our @nvidia partnership. Thanks Jensen 🙏🤝🇺🇸🚀
Jensen Huang, CEO of @nvidia, signed our XE7745 server at @NVIDIAGTC DC today! A legendary moment at the Dell booth.
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👀 Just in from #NVIDIAGTC. Check out this quick walkthrough of NVQLink — a high-speed interconnect linking quantum processors with the world's leading supercomputing centers. The era of quantum-GPU computing is here. ➡️ https://t.co/dpyMCcBreA
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🎉CUDA meet-up in NYC on November 13 with @floxdevelopment. 🙌 Be sure to reserve your spot, and we will see you there!
Join us for the CUDA Meet-Up by @nvidia + Flox, hosted at the @tryramp HQ in NYC! Calling all engineers, platform teams, and DevOps pros, come hang out, learn, and connect 🙂 Learn how Flox makes it super simple to create and run reproducible CUDA-accelerated stacks. When:
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What an event so far at #NVIDIAGTC! Don't miss our live rolling blog for highlights from the keynote, show floor, demos, and more 👇
blogs.nvidia.com
Rolling coverage from Washington, D.C., including NVIDIA CEO Jensen Huang’s keynote, breakout highlights, live demos and on‑the‑ground color.
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Nsight Copilot for VS Code is here 👀 This release brings our AI Coding assistant to help CUDA developers with code suggestions and CUDA-aware chat. Details ➡️ https://t.co/j0G46MFHZK
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🌎 NVIDIA Earth-2 is redefining how the world predicts extreme weather. Unveiled at #NVIDIAGTC Washington, D.C., new AI-powered Earth-2 tools enable ultra-fast, high-resolution simulations, turning hours of compute into seconds. MITRE is already deploying these models to
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NVIDIA CEO Jensen Huang just laid out the blueprint for America’s AI century. In the #NVIDIAGTC keynote, live from Washington, D.C., he shared massive GPU deployments and quantum breakthroughs spanning secure government AI factories, robotics, and autonomous mobility. 🗒️ Full
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The era of quantum-GPU computing is here. 🚨 Announced at #NVIDIAGTC: NVIDIA unveils NVQLink — a high-speed interconnect linking quantum processors with the world's leading supercomputing centers.
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NVIDIA CEO Jensen Huang just announced that NVIDIA is working with @ENERGY's national labs and the nation’s leading companies to build America’s AI infrastructure to support scientific discovery, economic growth and power the next industrial revolution. #NVIDIAGTC in D.C.
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🚨 NEWS at #NVIDIAGTC: NVIDIA, @Oracle & @ENERGY build the largest AI supercomputer at @argonne. Powered by 100,000 Blackwell GPUs, it ignites a new era of agentic AI for U.S. scientific discovery — accelerating breakthroughs across science, energy, and national security. 🔗
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✨ Get ready for an unforgettable keynote from NVIDIA CEO Jensen Huang, where he’ll unveil what’s next in accelerated computing. 📍 Today at 12PM ET / 9AM PT, streaming live 🎬☕ The #NVIDIAGTC Live pregame show is streaming now Join us here: https://t.co/zXKoDyDmeH
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#NVIDIABlackwell GPUs can tackle one of the toughest challenges in data-heavy workloads: decompression. Here are the big takeaways: ⚡ Decompression Engine (DE): Blackwell introduces dedicated hardware to accelerate data decompression by offloading Snappy, LZ4, and Deflate
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We're honored to collaborate with @Google Quantum AI on their landmark result using NVIDIA #cuQuantum to chart a path to the future of useful #quantumcomputing, a prime example of how accelerated computing is leading quantum breakthroughs. Read more. 👉
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Accelerate qubit research.🌟 NVIDIA cuQuantum now integrates with QuTip & scQubits for massive speedups in simulation & design. Read more.👉
developer.nvidia.com
NVIDIA cuQuantum is an SDK of libraries for accelerating quantum simulations at the circuit (digital) and device (analog) level. It is now integrated into Quantum Toolbox in Python (QuTiP) and…
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Another first for our AI fleet... a supercomputing cluster of NVIDIA GB300s with 4600+ GPUs and featuring next gen InfiniBand. First of many as we scale to hundreds of thousands of GB300s across our DCs, and rethink every layer of the stack across silicon, systems, and software
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🙌 Our NVIDIA Blackwell swept the new @SemiAnalysis_ InferenceMAX benchmarks, achieving highest performance and best overall efficiency -- showing how our full-stack approach provides the best hardware and software solutions to deploy AI at scale. 5 key benchmark takeaways in
Our NVIDIA Blackwell set a high bar in the latest results of @SemiAnalysis_ InferenceMAX benchmarks. This new open source initiative provides a comprehensive methodology to evaluate inference hardware and software performance. Here are 5 key benchmark takeaways that
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Explore sessions on #CUDA 13 features, CUDA Python kernel authoring, CUDA-X libraries, and more at #NVIDIAGTC in Washington D.C. 🔗 https://t.co/PY5HzgWJVQ
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Our #CUDA-X libraries form the backbone of quantum research. ⚡ From faster decoding of quantum errors to designing larger systems of qubits, researchers are using CUDA-X to push past the limits of classical computation, bringing the power of #acceleratedcomputing to
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