Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation. Written by eWEEK content and product recommendations are editorially ...

As our desktop computers, laptops, mobile devices, etc. stand idly by for a huge portion of the day, the need for computing resources is growing at a fast pace. Large IoT ecosystems, machine learning ...

No device is an island: Your daily computational needs depend on more than just the microprocessors inside your computer or phone. Our modern world relies on “distributed computing,” which shares the ...

WAKEFIELD, Mass.--(BUSINESS WIRE)--The Automotive Edge Computing Consortium (AECC), a non-profit consortium of cross-industry players working to drive best practices for the coming vehicle and ...

The cloud has been around in one form or another for about 20 years now. Although cloud looks much different than it did back in the days that were dominated by software as a service, the rise of ...

Distributed computing erupted onto the scene in 1999 with the release of SETI@home, a nifty program and screensaver (back when people still used those) that sifted through radio telescope signals for ...

Almost 20 years ago, faculty in the chemistry department of Stanford University launched a distributed computing project called Folding@Home (F@H). They sought to understand how proteins self-organize ...

AI models are rapidly increasing in complexity, demanding more powerful computing resources for effective training and inference. This trend has sparked significant interest in scaling computational ...