Hardware Acceleration

Dash Enterprise > Deployment & Scaling > High Performance Computing

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. Scroll below to see a few demos.

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Dask for CPU Parallelization
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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.

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


“Working with Plotly Dash, we can now do real-time COVID-19 infection rate analysis.”

Jensen Huang, NVIDIA CEO, NVIDIA GTC May 2020 Keynote Pt1

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“Modern AI cannot exist without access to
high-performance computing.”

Foteini Agrafioti Chief Science Officer at RBC and head of Borealis AI

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