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

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

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.

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.

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 ...

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 ...