Uber AI has open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to ...

Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. Previous articles in this series discussed an exascale-capable machine learning algorithm and ...

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

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.

Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...

By integrating LoRa technology with distributed machine learning, the network connectivity of green intelligent transportation systems can be optimized.

The research, "TF-Replicator: Distributed Machine Learning For Researchers," is posted on the arXiv pre-print server, and there's also a blog post by DeepMind.

At its core, what Run.AI offers is a new virtualization layer for distributed machine learning tasks that can across a large number of machines.