Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel Somani. “This can reduce wait times for users watching live events, playing ...

Anyscale Inc., creator of the open-source distributed computing platform Ray, today announced a new partnership with ...

Co-developed by Anyscale and Microsoft, a new fully managed Microsoft Azure service—powered by Ray—delivers high performance, flexibility, and cloud-scale AI computing for enterprises.

The world of distributed computing took on a new profile this year when Folding@home, a 20-year-old distributed computing project, found itself picking up thousands of new volunteers to help COVID-19 ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

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 ...

Is it better to be as accurate as possible in machine learning, however long it takes, or pretty darned accurate in a really short amount of time? For DeepMind researchers Peter Buchlovsky and ...

In this video, Jan Meinke and Olav Zimmermann from the Jülich Supercomputing Centre present: High-Performance Computing with Python: Reducing Bottlenecks. This course addresses scientists with a ...

Open source has become a critical building block of modern software, and today a new startup is coming out of stealth to capitalise on one of the newer frontiers in open source: using it to build and ...