New capabilities enable customers to adapt proven AI models for mission-specific environments, autonomous workflows, ...

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 ...

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer subsidized electricity and Internet access along with backup batteries to ...

Meta has found a new source of training data for its AI models: its own employees. The company plans to use data culled from the mouse movements and keystrokes of its own staff in its pursuit to build ...

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

Those poor AI companies are paying for a lot more than just training runs, explaining their sensitivity to threats such as model distillation AI models cost a lot more to develop than you may think.

BTTInferGrid is a decentralized GPU computing network purpose-built for AI inference. By bridging the global supply of idle GPU capacity with the surging demand for AI workloads, BTTInferGrid delivers ...