Python has turned into a data science and machine learning mainstay, ... distributed and parallel computing”—Python isn’t fast or convenient enough.

Dask. From the outside, Dask looks a lot like Ray. It, too, is a library for distributed parallel computing in Python, with a built-in task scheduling system, awareness of Python data frameworks ...

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.

Ray can run on a cluster manager like Kubernetes or it can be installed on bare metal. In either case, it’s Ray’s job to ensure that applications can be run in a distributed manner, with all the intra ...

In this video from the 2018 Blue Waters Symposium, Aaron Saxton from NCSA presents a tutorial entitled “Machine Learning with Python: Distributed Training and Data Resources on Blue Waters.” “Blue ...

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.

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 ...

“Intel IT has been leveraging Ray to scale Python workloads with minimal code modifications,” said Moty Fania, ... “ You have to be able to deal with distributed computing, ...

Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation. Written by eWEEK content and product recommendations are ...

And ultimately, the future of AI is in distributed computing, Ion Stoica, cofounder, executive chairman and president of Anyscale, told the audience this week at VenureBeat’s Transform 2022 ...