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Santa Clara, CA
2009年7月に登録

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  1. 固定されたツイート
    11月15日

    Join us for the NVIDIA Special Address to get a live, in-depth overview of the latest news, innovations, and technologies, followed by a Q&A panel with NVIDIA experts.

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  2. さんがリツイート
    13 時間前

    𝙏𝙤𝙢𝙤𝙧𝙧𝙤𝙬. Take a deep dive into the mind, creative process, and career of the incredible, . Vitaly will also be in the premiere live chat at 9am PDT to answer questions and say hello. 🙌 Don't miss out 👉

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  3. さんがリツイート
    11月17日

    We’ve projected the convergence of: - GPU-accelerated computing - Deep learning, and - AI supercomputers will drive Million-X speedups, making unsolvable challenges solvable. What’s your challenge? Read more:

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  4. さんがリツイート
    11月15日

    Industries are using the power of and accelerated computing at data center scale to deliver millionfold performance increases to solve problems such as understanding climate change, discovering drugs, and more.

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  5. さんがリツイート
    11月17日

    NVIDIA’s and her team created the Fourier Neural Operator (FNO), a framework that allows to solve an entire family of partial differential equations, rather than a single instance.

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  6. さんがリツイート
    11月15日

    NVIDIA Modulus is a framework for developing physics-based machine learning models that can be used for everything from basic analysis to digital twins.

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  7. さんがリツイート
    11月15日

    The combination of accelerated computing, the convergence of and , and cloud native-supercomputing is shaping the architecture of today’s fastest supercomputers.

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  8. さんがリツイート
    11月15日

    Four teams used NVIDIA’s accelerated computing and platforms that won them spots as finalists for research.

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  9. 11月12日

    We need to confront climate change now, and simulation is the answer. NVIDIA is building the world’s most powerful supercomputer - Earth-2 - to create a digital twin of the planet to predict .

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  10. さんがリツイート
    11月10日

    November is all gravy. 🦃 An all-new Driver, announcements, NVIDIA Broadcast integration, & more await with our newest edition of This Month on Studio:

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  11. さんがリツイート
    11月9日

    Networking just got faster and smarter. Introducing the NVIDIA Quantum-2 InfiniBand Networking Platform. Learn more:

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  12. さんがリツイート
    11月10日

    Build and deploy at the industrial and enterprise edge with NVIDIA-Certified Systems. Read about the latest NVIDIA-Certified program expansion announced at :

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  13. さんがリツイート
    11月10日

    was just revealed as one of the best inventions of 2021. Read more.

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  14. さんがリツイート
    11月10日

    “Omniverse is closer than people think,” NVIDIA Founder and CEO Jensen Huang says. “The applications are here, they’re real, and we’re using them across a large number of industries.”

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  15. さんがリツイート
    11月9日

    NVIDIA Triton streamlines inference to deliver fast and scalable in production. Learn why industry leaders worldwide deploy NVIDIA AI inference.

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  16. さんがリツイート
    11月9日

    Read about Replicator, a new simulation framework that produces physically accurate synthetic data to accelerate training of deep neural networks for applications.

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  17. さんがリツイート
    11月9日

    NVIDIA announces the latest releases of software tools such as NVIDIA Riva custom voice, TensorRT 8.2, Triton Inference Server 2.15, DeepStream 6.0, and more. Learn how these new tools will help you build, deploy, and optimize for a variety of use-cases.

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  18. さんがリツイート
    11月9日

    Announcing ReOpt, software that optimizes for route planning, warehouse picking, fleet management, and more to control skyrocketing delivery costs from factories to stores and homes.

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  19. さんがリツイート
    11月9日

    New at : At 200 TOPS for multiple concurrent AI inference pipelines and high-speed interface support for multiple sensors, the new NVIDIA Jetson AGX Orin is the world’s most powerful AI computer for energy-efficient autonomous machines. Learn more:

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  20. さんがリツイート
    11月9日

    Announcing the NVIDIA Clara Holoscan computing platform for , providing the computational infrastructure needed for scalable, software-defined, end-to-end processing of streaming data from embedded to edge to cloud.

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