The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

Purpose-Built AI Infrastructure Now Supports the Full Model Development Lifecycle-From Fine-Tuning to Production Inference-With No Cluster Provisioning, No Surprise Bills, and Full Weight Portability ...

The funding will support the development of Sherpa.ai's AI platform and accelerate its international expansion across key ...

If you only watch the headlines about the National Science Foundation's “unfunding,” you could come away with the wrong ...

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

NTT DoCoMo unveiled a network-centric AI cluster across Japan powered by its all-photonic network (APN) technology concept. The "GPU over APN" testbed is a wide-area distributed graphics processing ...

While large-scale training models often capture public attention, it is AI inference—the continuous, real-time execution of trained models—that is rapidly reshaping how digital infrastructure must be ...

Meta has provided a rare glimpse into the company's storage infrastructure, claiming the system underpinning its AI ...

India must move beyond AI adoption to build strategic capacity in compute, governance, data, and enterprise innovation.

AI data centers are projected to double global electricity demand by 2030 as grid bottlenecks, not chips, emerge as the real ...

A new installment of Chain of Thought, the Brownstone Research newsletter written by Ben Lilly, argues that the battle over open-source artificial ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...