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.

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 ...

Ditto for deep learning, where double precision floating point is not particularly useful. In this case, the Maxwell-based Tesla M4 and M40 GPUs can be offered at a very attractive price for those ...

Nvidia wants the artificial intelligence and deep learning markets badly. It launched its 15-billion transistor Tesla P100 chip in April for deep-learning applications.

SAN JOSE, Calif., March 27, 2018 (GLOBE NEWSWIRE) -- GPU Technology Conference — NVIDIA today unveiled a series of important advances to its world-leading deep learning computing platform, which ...

Plus, given the rapidly evolving state of deep learning tools, Nvidia has committed to upgrade and recertify its NGC container images on a monthly schedule.Nvidia initially will tune, test and certify ...

Jonah Alben, senior vice president of GPU engineering at Nvidia, tells The Next Platform that this 16-bit floating point math would not only be useful for deep learning but also various kinds of ...

It's also worth noting that the leading deep learning frameworks all support Nvidia GPU technologies. Moreover, when using Tesla V100 GPUs, these are up to 3 times faster than using Pascal-based ...

Gigabyte today announced a couple of new 4U GPU servers for the datacenter, both packed with multiple NVIDIA Tesla GPUs to bring massive parallel computing capabilities to the sector. According to ...

NVIDIA RTX 3070 is a known name in the data science, deep learning, and AI-loving community. This GPU offers a wide array of features to make workload stress free such as 8GB GDDR6 memory, Tensor ...