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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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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

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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 >

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.
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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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