About Dask: Dask is an open-source Python parallel computing library. With Dask, Python code can be scaled from multi-core local machines to large distributed clusters in the cloud.

As Python is the language of choice for most data science work, you can see why Nvidia chose to make this a key part of its strategy. ZDNet had a Q&A with Dask creator, Matthew Rocklin, who ...

When a data scientist is done playing around with a model and wants to run it at scale, she has several options. One potential avenue is Dask, the open source framework that parallelizes Python code.

Dask is distributed task scheduler for Python, playing a similar role for Python that Apache Spark plays for Scala. Dask-cuDF is a library that provides partitioned, GPU-backed dataframes.