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GPU & Dask acceleration

Dash Enterprise puts Python's most popular HPC stack in the hands of business users.

Over the past 2 years, Dask and NVIDIA Rapids have changed the Python HPC landscape. Heavy, expensive Spark clusters are no longer necessary for terabyte-scale work in Python.

Dash Enterprise ships with turnkey support for horizontally scalable Dask clusters and GPU computing. Scroll below to see a few demos.

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NVIDIA RAPIDS cuDF

cuDF is NVIDIA's Pandas-like library for running dataframe computations in GPU memory.

Dash Enterprise ships with out-of-the-box support for cuDF - either on a single VM with a GPU card or distributed with Dash Enterprise Kubernetes.

This Dash app uses cuDF to explore 300 million rows in real time.

Dask

Dask is the de facto parallel computing library for Python. Dask is gaining popularity over PySpark because of its relatively low overhead to set up.

Dask Enterprise ships with out-of-the-box support for Dask - either on single VM with multiple cores or distributed with Dash Enterprise Kubernetes.

This Dash app uses Dask and Datashader to explore 40 million rows of data in real time.

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