Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...

Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move ...

California, San Francisco , June 02, 2026 (GLOBE NEWSWIRE) -- GoodVision AI has introduced what it calls the “7-Layer AI Cake ...

ClearML enables enterprises to deploy distributed inference workloads powered by NVIDIA Dynamo backed by a unified control plane for large scale inference environments SAN FRANCISCO, CA / ACCESS ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

In a recent article, “The Rise Of Distributed Data Centers In The AI Era,” I explored why enterprises are moving beyond a single, centralized data center to a fabric of compact, powerful data centers ...

Australia’s Megaport secured four AI infrastructure contracts worth A$458.9M and is raising A$827.3M to build a globally distributed AI inference cloud.

As demand for AI computing explodes, the bottleneck is shifting from chips to powered, ready-to-use data center capacity.

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer ...

By making interactivity native to the model, Thinking Machines believes that scaling a model will now make it both smarter and a more effective collaborator.

Booz Allen and Future Tech leaders share how using hybrid design, edge AI and GPUs can accelerate secure federal AI deployment.