Cloud and AI infrastructure strategies are shifting from centralized hyperscale data centers toward distributed and federated models, driven by security, latency, and resilience needs. Recent expert ...

As artificial intelligence moves from experimental to essential, the physical and logical infrastructure that carries it ...

Today, most federal mission work supported by systems integrators happens inside a browser interacting with cloud ...

It's clear that AI agents are only as good as the data behind them. Now, Google Cloud databases are being rebuilt to feed ...

New patent strengthens LT350’s canopy based AI deployment architecture that turns the airspace of parking lots into distributed AI inference ...

At Data Center World, Omdia analysts argued that the AI infrastructure buildout is no longer just a hyperscaler story. It is ...

One of the challenges of migrating older applications to a cloud-native, modern IT architecture is how to provide persistent ...

The consortium’s proposal centers on distributing the burden of processing and transmitting that data across multiple layers, ...

Are your BI systems ready to support modern operations? Use this advice to prepare to handle large-scale workloads.

Goldman Sachs Research projects U.S. data centers will consume ~8% of national electricity by 2030, up from ~3% in 2022.