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

“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

Anyscale today announced a partnership with Microsoft and the private preview of a new AI-native compute service, co-developed with Microsoft and delivered as a fully managed, first-party offering on ...

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 ...

Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...

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 ...

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 ...

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 ...

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 ...

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 ...