Nvidia thinks it's time for traditional CPUs to step aside when it comes to tackling the largest machine learning tasks, especially training huge models that are now upwards of a trillion parameters.

This shouldn't really come as much of a surprise. Google is arguably one of the kings of machine learning (ML) and AI, technologies that it relies on to make sense of all the data it collects through ...

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling ...

Presenting you with a multi-tasking, all-in-one GPU, NVIDIA RTX 3090. So starting from Tensor cores to some awesome features like real-time ray facing, this GPU has it all. Solving research and data ...

OpenAI, the nonprofit venture whose professed mission is the ethical advancement of AI, has released the first version of the Triton language, an open source project that allows researchers to write ...

Deno 1.8, released on March 2, offers preliminary support for an API to bring enhanced machine learning to the secure JavaScript/TypeScript runtime. Experimental backing for the WebGPU API, for ...