🌟 Unlock the Power of #QuantumComputing with the new CUDA-Q Academic Repository, a comprehensive resource designed to transform theoretical knowledge into practical skills with a series of #Jupyter notebooks and supporting files now available absolutely free. 🚀🔬 Learn more now. 👉 https://nvda.ws/3WpN4Xw
About us
News and information about GPU-accelerated data centers for high performance computing (HPC), supercomputing, AI, deep learning, IT, and AI-accelerated analytics.
- Website
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https://www.nvidia.com/en-us/data-center/
External link for NVIDIA Data Center
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, California
Updates
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Discover the latest breakthroughs in #generativeAI, digital twins, research, #OpenUSD, robotics, and more at #SIGGRAPH2024 with NVIDIA. Join us July 28-August 1 as we explore the intersection of AI and graphics. Register now. https://nvda.ws/4cIrmnw
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Gurobi Optimizer, which identifies optimal solutions to complex nonlinear problems for over 1,200 global customers across industries, achieved 23% faster runtime while using 46% less energy on the NVIDIA Grace CPU. #DataCenter #AI Learn more now. ➡️ https://nvda.ws/3LtMWAd
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NVIDIA Data Center reposted this
We’re excited to announce that our CEO Jensen Huang will be joined by Meta CEO Mark Zuckerberg to discuss how fundamental research is enabling AI breakthroughs at #SIGGRAPH2024. Attend the discussion to learn about the intersection of #generativeAI and virtual worlds, and discover how open source and AI will empower developers and creators. Read more on our blog: https://nvda.ws/4cWa4Tq 📅 Monday, July 29, 4 p.m. MT
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NVIDIA Data Center reposted this
👀 Preview ➡️ https://nvda.ws/4cSy4Xy ✨At #SIGGRAPH2024, #NVIDIAResearch will showcase advancements in #generativeAI and #simulation, showing how simulation research enhances AI models and how #AI models are advancing simulation technology.
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In collaboration with NVIDIA and Hewlett Packard Enterprise, Japan’s National Institute of Advanced Industrial Science and Technology (AIST) will integrate thousands of NVIDIA H200 GPUs and NVIDIA Quantum-2 InfiniBand networking into their ABCI 3.0 #supercomputer to advance #AI research and development capabilities. Learn more now. #DataCenter
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📢 Announcing the release of FlashAttention-3. ✅ 1.5-2x faster on FP16 ✅ Up to 740 TFLOPS on NVIDIA H100 GPUs ✅ FP8 close to 1.2 PFLOPS Read our latest blog to see how we collaborated with Colfax International, Meta, Together AI, and Princeton University on this achievement: https://nvda.ws/4bJDEdU
Next Generation of FlashAttention | NVIDIA Technical Blog
developer.nvidia.com
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Learn more about ESM3, which used NVIDIA H100 GPUs for the most compute ever put into a biological foundation model. The 98 billion parameter EMS3 model uses roughly 25x more flops and 60x more data than its predecessor, ESM2. #AI
Discover the future of protein design with EvolutionaryScale ESM3 model. Powered by the H100, it's revolutionizing how we explore protein functions and structures for healthcare advancements. - NVIDIA Healthcare #AI #drugdiscovery
EvolutionaryScale Debuts With ESM3 Generative AI Model for Protein Design
blogs.nvidia.com
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Companies seeing the most value from #AI have realized the importance of proven platforms and expertise that can speed the ROI of AI investments. Discover the four things that companies are doing to achieve the highest bottom-line impact from AI. #DataCenter #NVIDIADGX
Four Things You Need to Know Before Undertaking an AI Project
resources.nvidia.com
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📢 Just announced: nvmath-python brings NVIDIA accelerated math to #Python. ✅ Pythonic APIs for using CUDA math operations ✅ Works with your favorite Python packages ✅ #OpenSource Beta version is available now! #HPC Learn more now: https://nvda.ws/4bEdRE6
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