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 ...

Anyscale Inc., creator of the open-source distributed computing platform Ray, today announced a new partnership with Microsoft Corp. and the private preview of a new artificial intelligence-native ...

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 ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

Along with enabling KubeRay, take your existing Ray-based PyTorch code and use it to build a Docker container that can be ...

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.

Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...

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 ...

This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Geographic Data ...

A global campaign dubbed ShadowRay 2.0 hijacks exposed Ray Clusters by exploiting an old code execution flaw to turn them ...