NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...

Competition in the GPU industry ultimately comes down to developer ecosystems. Against that backdrop, Moore Threads' inaugural MUSA Developer Conference (MDC 2025) on December 20-21 marked a clear ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with CUDA Tile, which the company said introduces a virtual instruction set for ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

Rollercoaster Tycoon wasn’t the most fashionable computer game out there in 1999. But if you took a look beneath the pixels—the rickety rides, the crowds of hungry, thirsty, barfing people (and the ...

Introduced for the 1970 model year on a brand-new platform and with big-block power on the options list, the third-generation Barracuda moved nearly 49,000 units in its maiden year. In 1971, however, ...

The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...