Company graduates advanced GPU and NPU acceleration into production, promises simpler tooling and better GenAI support.

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...

Robin Li spoke to TIME about the AI ambitions of Baidu and China.

A tiny optical booster built directly onto a chip is pointing toward a future where light, not just electricity, does the heavy lifting inside our computers. By cranking up light signals roughly 100 ...

This step-by-step guide explains how to use Discrete Device Assignment to attach a physical GPU directly to a Hyper-V virtual machine, enabling hardware-accelerated workloads such as AI while ...

Innodisk has recently introduced the EXEC-Q911, a COM-HPC Mini starter kit designed for edge AI applications powered by a ...

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

Nvidia's AI boom is increasingly tied to billions in GPU-backed private credit, with CoreWeave and other AI clouds borrowing heavily to buy Nvidia chips. Here's why Nvidia is becoming a private credit ...