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.

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

The course enables students to learn about the principles and gain hands-on experience in working with the state of the art computing technologies such as Apache Spark, a general engine for ...

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.

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 ...

Anyscale, a startup founded by the same team that built the Project Ray open-source distributed programming framework out of UC Berkeley — Robert Nishihara, Philipp Moritz and Ion Stoica, and ...

Google's distributed computing for dummies trains ResNet-50 in under half an hour Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers.

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, 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.