AI is redefining the infrastructure design and management through the infusion of intelligence, agility and resilience.

Focusing on the limitations of traditional control hardware and centralized databases, Trihedral's Barry Baker highlights how ...

To adapt to the agentic AI era, investors and executives must change how they think about problems, valuations and ...

Tigris has raised $25 million to expand its growing network of localized data storage centers — the storage layer for ...

These types of models are essential for the next wave of physical AI that are explainable, accurate, and useful.

Decentralized storage secures data across global nodes, enhancing privacy, reliability, and user ownership over traditional cloud systems.

Provisional measure (MP) 1,304 introduces a charge for certain distributed-generation (DG) system operators if an Energy ...

Microsoft’s Fairwater project in Wisconsin represents a bold new template for hyperscale AI infrastructure. Designed as a ...

Hrishikesh Dewan of Ziroh Labs discusses how governments and academia can drive ‘AI for All’—from enabling AI on standard ...

As the UN calls for “red lines” on AI by 2026, decentralized AI architectures are emerging that can embed safety, privacy, ...

A developer leans back in frustration after another training run. A significant amount of work was spent over many months fine-tuning a large language model. Data pipelines were expanded, and compute ...

One of the advantages of using an EOR is the ability to pilot quickly. Instead of setting up a legal entity and staffing an ...