Chipmaker Nvidia today announced two new flavors of Tesla graphics processing units (GPUs) targeted at artificial intelligence and other complex types of computing. The M4 is meant for scale-out ...

Facebook’s announcement of Big Sur says “ Big Sur was built with the Nvidia Tesla M40 in mind but is qualified to support a wide range of PCI-e cards, ” pointing out how pervasive Nvidia’s Tesla ...

“It is a long time,” Marc Hamilton, vice president of solutions architecture and engineering at Nvidia, tells The Next Platform, in reference to how long of a life these Kepler and Maxwell products ...

The Tesla M40 and M4 are Nvidia’s first GPUs specifically for hyperscale servers, which primarily are used for Web hosting and serving.

The first full-fat GPU based on Nvidia's all-new Pascal architecture is here. And while the Tesla P100 is aimed at professionals and deep learning systems rather than consumers, if consumer Pascal ...

During GTC Beijing 2016, Nvidia introduced two new Tesla cards for deep neural network inferencing production workloads carried out by AI-based services.

Nvidia has announced the release of the Tesla M40 and M4 GPU accelerators as part of its hyperscale accelerator line. The line of offerings is accompanied by GPU libraries called the Hyperscale Suite.

Nvidia’s Tesla M40 is the fastest deep learning accelerator and it significantly reduces the training time. GIGABYTE is the first server maker to have its lineup certified for just these new ...

Nvidia's new GPUs called the Tesla P40 and P4 are built for those kind of deep-learning systems that aid in correlation and classification of data.

Nvidia Corporation supported Tesla Inc.'s AI expansion by equipping it with 35,000 H100 GPUs, significantly enhancing the performance of Tesla's latest autonomous driving software, FSD version 12.

Today Nvidia announced an end-to-end hyperscale datacenter platform that lets web-services companies accelerate their huge machine learning workloads. These new additions to the Nvidia Tesla platform ...