COMPUTAÇÃO TURBINADA

O momento da computação em GPU chegou.

NVIDIA EGX. The complete solution for deploying AI instantly, from edge to cloud.

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.

The New Standard for Enterprise Workloads

NVIDIA T4 GPUs are supercharging the world’s leading servers. With easy deployment and NGC-Ready validation, these servers excel across the full range of  accelerated workloads. Learn More

CUDA to Arm. 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

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 >

CUDA-X HPC is Powering Scientific Discovery

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.
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.
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Os aceleradores de GPUs mais rápidos do mundo para HPC e
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