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COMPUTAÇÃO TURBINADA

O momento da computação em GPU chegou.

ACELERANDO CARGAS DE TRABALHO DE DATA CENTERS COM GPUs

De descobertas científicas à inteligência artificial, os modernos data centers são fundamentais para solucionar os desafios mais importantes do mundo. A plataforma de computação acelerada NVIDIA Volta oferece aos datacenters modernos o poder de acelerar as cargas de trabalho de inteligência artificial e de computação de alto desempenho.

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

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Building GPU-Accelerated Arm Servers. A New Path to Exascale Supercomputing.

By the end of the year, NVIDIA will bring its full stack of accelerated software to the Arm ecosystem, opening a new path to efficient, AI-enabled supercomputing. Learn More

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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

CUDA-X HPC is a collection of libraries, tools, compilers and APIs that helps developers solve the world's most challenging problems. 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.
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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.
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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.

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