What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

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

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

China just switched on what may be the world’s largest distributed AI supercomputer, and it spans more than 1,243 miles. The country has activated a massive, nationwide optical network that links ...

Decentralized GPU networks are pitching themselves as a lower-cost layer for running AI workloads, while training the latest ...

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 ...

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 ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

Thinking Machines Lab, a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product—a tool called Tinker that automates the creation of custom frontier AI ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...