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 ...

Intel is looking to hire an AI Software Solutions Engineer who will develop high-performance AI solutions which will be delivered through internal engineering t ...

This OS quietly powers all AI - and most future IT jobs, too ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

The engineer behind AI lenses reaching 400 million Snapchat users explains how diffusion models, on-device inference, and ...

If your PC is using CPU instead of GPU, check your cable connections. Use the fixes provided in this article to resolve this issue.

Most organizations will, sooner or later, have to find a way to navigate this market as GPUs are set to play a critical role.

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

The Fight for the World's Most Critical Technology," says Google's TPU is designed especially for machine learning, while ...

Chinese AI companies wanting high-performance artificial intelligence chips from Nvidia are facing a dilemma: source them from the black market at much higher prices, or accept lower performance ...

NodeAI is transforming the future of GPU computing with a decentralized infrastructure that’s fair, transparent, and community-driven. By leveraging the $GPU token ...