Distributed app platform also introduces the 'aspire do' command for parallelized builds and deployments and an Aspire MCP ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

Companies lose up to 20% of annual revenue due to poor data management, driving demand for Big Data engineers. Big Data engineers earn between $28,850 and $130,000 annually depending on the region.

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 ...