New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...

A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds ...

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

For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...

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

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

New AI models launched by China's biggest players underscore how the country's companies are keeping up with the U.S.

In Atlanta, Microsoft has flipped the switch on a new class of datacenter – one that doesn’t stand alone but joins a dedicated network of sites functioning as an AI superfactory to accelerate AI ...