A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...

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 ...

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.

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Anyscale, the startup behind the open source project Ray, today closed 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 ...

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 ...