For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

Here's why the next great AI company won't own a data center — and what that means for founders.

AI is redefining what’s possible across manufacturing and distribution, but there’s a quiet revolution happening in how companies manage the relationship between their data and their technology. For ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Throughout the history of IT, we have witnessed the pendulum swing between centralized and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today, Samsung Next, the venture capital arm of Samsung Electronics, ...

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

Folks often get confused about the difference between centralized (a.k.a., asymmetrical or single ended) and distributed (a.k.a., symmetrical or dual-ended) application performance solutions.

SAN FRANCISCO--(BUSINESS WIRE)--Cloudflare, Inc. (NYSE: NET), the leading connectivity cloud company, today announced that it is collaborating with Microsoft to make it easier for companies to run AI ...

Ford is continuing a shift toward developing more of its vehicle technology internally, outlining a strategy that centers on simplified electronic architectures, consolidated computing hardware, and ...

The first term used to describe the distribution of multiple computers throughout an organization in contrast to a centralized system. The distributed processing and "distributed computing" terms were ...