<acronym id="wr3pd"></acronym>
  1. <mark id="wr3pd"><ins id="wr3pd"><span id="wr3pd"></span></ins></mark>
    1. <label id="wr3pd"></label>

      1. SUPERCHARGED COMPUTING

        The Time for GPU Computing Has Come.

        亚洲一区

        Accelerating Data Center workloads
        with GPU
        s

        From scientific discoveries to artificial intelligence, modern data centers are key to solving some of the world’s most important challenges. The NVIDIA Volta accelerated computing platform gives these modern data centers the power to accelerate deep learning, machine learning, and high performance computing workloads.

        Accelerating Real-Time AI at the Edge

        NVIDIA EGX is the cloud native, scalable, and GPU-accelerated platform that easily deploys and manages the most demanding AI workloads at the edge, making real-time insights possible. Learn More

        Building GPU-Accelerated Arm Servers

        Companies can now quickly and easily build GPU-accelerated Arm-based servers to meet the growing demand for applications in science and industry. Learn More

        NVIDIA DGX SuperPOD

        NVIDIA unveiled the world’s 22nd fastest supercomputer – NVIDIA DGX SuperPOD. Learn how we built this machine in under 3 weeks. Learn More >

        World's Fastest Supercomputer Triples Its Performance Record

        With the new HPL-AI benchmark, the Summit supercomputer has achieved unprecedented performance levels. Learn More >

        NVIDIA Magnum IO

        A breakthrough suite of software that can help researchers and data scientists move massive amounts of data in minutes, rather than hours. Learn More >

        NVIDIA DGX Station

        Dive into DL with your very own personal AI supercomputer, the NVIDIA DGX Station. DGX Station delivers a rapid plug-in, power-up, deployment experience that’s simple, intuitive, with an integrated hardware and software solution that lets you spend more time focused on insight.
        Learn More >

        PLASTER: A Framework for Deep Learning Performance

        PLASTER outlines critical problems with machine learning. Learn how to address and tackle these problems to better develop and deliver AI-based services. Learn More >

        GPU-Ready Data Center

        Learn the best practices for making a data center “GPU-ready,” with a focus on power, cooling, and architecture, including rack layout, storage, and system and network architecture.
        Register to download >

        Virtual Compute-Intensive Server Workloads

        Virtual Compute-Intensive Server Workloads

        NVIDIA vComputeServer provides the ability to virtualize GPUs and accelerate compute-intensive server workloads, including AI, Deep Learning, and Data Science. With this, automotive manufacturers can use the latest in simulation and compute technologies to create the most fuel efficient and stylish designs and researchers can analyze the function of genes to develop medical treatments more quickly.

        DOWNLOAD THE DATA CENTER TECHNICAL OVERVIEW

        DATA CENTER NEWS

         

        @NVIDIADC ON TWITTER

         

        TAKE A FREE TEST DRIVE

        The World's Fastest GPU Accelerators for HPC and Deep Learning.

        WHERE TO BUY

        Find an NVIDIA Accelerated Computing Partner through our NVIDIA Partner Network (NPN).