Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation.

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.

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 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.

It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for 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 ...