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.

Aaron Saxton from NCSA gave this talk at the Blue Waters Symposium. "Blue Waters currently supports TensorFlow 1.3, PyTorch 0.3.0 and we hope to support CNTK and Horovod in the near future. This ...

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.

Distributed cloud, according to Gartner, “is the distribution of public cloud services to different physical locations, while the operation, governance, updates, and evolution of the services ...

Akka enables development of applications that are primarily event-driven, deployable on Akka’s serverless platform or on AWS, Azure, or GCP cloud instances.

Is distributed computing dying, or just fading into the background? There seems to be much less excitement about distributed computing these days.

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 ...

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...