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.

The future of machine learning is distributed If you are familiar with ML model deployment, you may know about PMML and PFA. PMML and PFA are existing standards for packaging ML models for deployment.

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

Distributed machine learning startup Boosted.ai revealed today it has raised $35 million in new funding to scale up its web-based platform that brings explainable machine learning tools 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 ...

Microsoft today announced the release of a new open-source machine learning toolkit that goes by the name DMTK. The toolkit contains a framework for training models on multiple servers, a topic ...

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.

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 ...