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Inscrit en juillet 2009

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  1. Tweet épinglé
    15 nov.

    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. a retweeté
    il y a 5 heures

    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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  3. a retweeté
    15 nov.

    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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  4. a retweeté
    17 nov.

    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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  5. a retweeté
    15 nov.

    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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  6. a retweeté
    15 nov.

    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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  7. a retweeté
    15 nov.

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

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  8. 12 nov.

    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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  9. a retweeté
    10 nov.

    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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  10. a retweeté
    9 nov.

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

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  11. a retweeté
    10 nov.

    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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  12. a retweeté
    10 nov.

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

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  13. a retweeté
    10 nov.

    “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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  14. a retweeté
    9 nov.

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

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  15. a retweeté
    9 nov.

    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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  16. a retweeté
    9 nov.

    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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  17. a retweeté
    9 nov.

    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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  18. a retweeté
    9 nov.

    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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  19. a retweeté
    9 nov.

    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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  20. a retweeté
    9 nov.

    Announced at , NVIDIA NeMo Megatron framework and NVIDIA Triton Inference Server empower enterprises worldwide to develop, customize, and deploy large language models up to trillions of parameters.

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