Technologies: Coiled
Topics: Data & AI

Coiled: Burst to the cloud with data science and ML workflows

November 3, 2021 17:00

In this session, Matt Rocklin, CEO of Coiled, explains how they help data scientists use Python for ambitious problems, scaling to the cloud for computing power, ease, and speed—all tuned for the needs of teams and enterprises. Coiled is built on Dask, a free and open-source library that helps scale your data science workflows and provides a complete framework for distributed computing in Python.

Details

While moving to the cloud reduces costs initially, uncontrolled usage can spiral costs out of control. With Coiled Cloud, you pay-as-you-go, and the operations dashboard highlights issues from cluster telemetry and gives you the governance to control costs.

Coiled is built on Dask. As creators and contributors, we’re committed to supporting the platform.

Dask is a free and open-source library that helps scale your data science workflows and provides a complete framework for distributed computing in Python.
It is used by researchers, data scientists, large corporations, and government agencies. Notably, Dask users include NASA, Harvard Medical School, Walmart, and Capital One.

Some benefits of Coiled:

  1. Scalable
    Scale your clusters on-demand
    Scale from your laptop to the cloud and back, seamlessly
    Automatically optimize your cloud resources
  2. Fast
    Supercharge the PyData stack
    Process more data in less time
    Iterate – and get answers – faster
  3. Frictionless
    Work with the tools and environments you’re already using
    Meets enterprise security and data standards
    Automates cloud and on-prem infrastructure operations

Host

Matt Rocklin