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.

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.

WiMi's blockchain-based distributed collaborative computing architecture combines blockchain's facilitation of open resource sharing with the precise management and decision-making enabled by ...

TensorFlow 0.8 adds distributed computing support to speed up the learning process for Google's machine learning system.

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 ...

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 ...

Anyscale, from the creators of the Ray-distributed computing project, launches with $20.6M led by a16z ...