As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.

Nvidia unveiled the Vera Rubin AI computing platform at CES 2026, claiming up to 10x lower inference token costs and faster training for MoE models. Explore Get the web's best business technology news ...

The Rubin GPU boasts five times more AI training compute power than Blackwell. The Rubin GPU boasts five times more AI training compute power than Blackwell. is a news writer covering all things ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

The LightGen chip is orders of magnitude more efficient too. But it isn't ready to break out of the lab just yet. As generative AI models grow more powerful, their energy use is becoming a serious ...

Design teams face rising pressure to deliver larger chips with higher transistor densities on tighter schedules using advanced node processing. The computing demands of modern applications, especially ...

Nebius Group NV (NASDAQ: NBIS) on Wednesday announced the release of Nebius AI Cloud 3.1, introducing Nvidia Corp.'s (NASDAQ: NVDA) next-generation Blackwell Ultra compute and expanded operational ...

As artificial intelligence (AI) transitions from cloud-centric operations to edge devices, the hardware that powers AI is undergoing significant change. While graphics processing units (GPUs) have ...

Want to call someone a quick-thinker? The easiest cliché for doing so is calling her a computer – in fact, “computers” was the literal job title of the “Hidden Figures” mathematicians who drove the ...

Nvidia Corp (NASDAQ: NVDA) has developed new software that can help determine where its chips are being used, aiming to curb the smuggling of its artificial intelligence processors into countries ...