Scaling machine learning with clusters and GPUs (Ep. 134)

Episode 134 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Scaling machine learning with clusters and GPUs (Ep. 134)" was published on December 31, 2020 and runs 30 minutes.

December 31, 2020 ·30m · Data Science at Home

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Summary

Let's finish this year with an amazing episode about scaling ML with clusters and GPUs. Kind of as a continuation of Episode 112 I have a terrific conversation with Aaron Richter from Saturn Cloud about, well, making ML faster and scaling it to massive infrastructure. Aaron can be reached on his website https://rikturr.com and Twitter @rikturr Our Sponsor Saturn Cloud is a data science and machine learning platform for scalable Python analytics. Users can jump into cloud-based Jupyter and Dask to scale Python for big data using the libraries they know and love, while leveraging Docker and Kubernetes so that work is reproducible, shareable, and ready for production. Try Saturn Cloud for free at https://saturncloud.io Twitter: @saturn_cloud

Episode Description

Let's finish this year with an amazing episode about scaling ML with clusters and GPUs. Kind of as a continuation of Episode 112 I have a terrific conversation with Aaron Richter from Saturn Cloud about, well, making ML faster and scaling it to massive infrastructure.

Aaron can be reached on his website https://rikturr.com and Twitter @rikturr

Our Sponsor

Saturn Cloud is a data science and machine learning platform for scalable Python analytics. Users can jump into cloud-based Jupyter and Dask to scale Python for big data using the libraries they know and love, while leveraging Docker and Kubernetes so that work is reproducible, shareable, and ready for production.

Try Saturn Cloud for free at https://saturncloud.io

Twitter: @saturn_cloud

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