Is distributed computing dying, or just fading into the background? There seems to be much less excitement about distributed computing these days.

With the future of AI built on distributed computing across data centers, Jericho4 strikes a crucial balance between these elements.

Thanks to deep buffering and intelligent congestion control, Jericho4 ensures lossless RoCE across 100km+ enabling truly distributed AI infrastructure unconstrained by power and space limitations ...

HPC at the edge — bringing computing power closer to the data center — empowers real-time applications for generative AI software, AR/VR and more.

TensorFlow 0.8 adds distributed computing support to speed up the learning process for Google's machine learning system.

But the truth is edge computing is an easily predictable pattern as digital operations scale, especially for geographically distributed businesses, such as national retail chains, insurance ...

From searching for alien life to working out cancer's protein structures to seeking cores for orphan and rare diseases, distributed computing programs can put your idle computers to good work.

The company says distributed computing has long been one of the most requested features for TensorFlow and with this, Google is essentially making the technology that powers much of its recently ...

Google hopes that with ope source availability and distributed computing support, researchers, engineers and hobbyists can help speed the machine’s learning along and help get it to a much ...