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 ...

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 ...

Enterprise AI adoption is widespread in ambition and uneven in execution. Across industries, organizations are experimenting with machine learning and generative models, training teams, and deploying ...

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 ...

As sovereign AI, edge deployments, and regional capacity expand, developers are simultaneously racing to build gigawatt-scale ...

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 ...