Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Fiber provides a unified Python user interface to its distributed computing framework to support these new requirements.

Anyscale, the startup behind the open source project Ray, today closed a $40 million round to support its first commercial offering, a managed Ray platform.

Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers. A key benefit of the technology can be that it takes dramatically less time to ...

Anyscale, a startup founded by a team out of UC Berkeley that created the Ray open-source Python framework for running distributed computing projects, has raised $40 million.

So what’s the difference? At a fundamental level, distributed computing and concurrent programming are simply descriptive terms that refer to ways of getting work done at runtime (as is parallel ...

Anyscale, from the creators of the Ray-distributed computing project, launches with $20.6M led by a16z Ingrid Lunden 6:29 AM PST · December 17, 2019 ...

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 ...

ST446 Half Unit Distributed Computing for Big Data This information is for the 2024/25 session. Teacher responsible ...