Distributed Compute Frameworks: Spark, Ray, Dask & MPI

Distributed Compute Frameworks: Spark, Ray, Dask & MPI

Join Domino Data Lab for our recurring Customer Tech Hour series. In this session, we'll be covering distributed compute frameworks like Spark, Ray, Dask, and MPI.

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About this course

Distributed Compute Frameworks in Domino Data Lab

In this session with Staff Field Data Scientist Subir Mansukhani, we'll review how to use distributed compute frameworks within Domino, including Spark, Ray, Dask, and MPI.

Domino automatically scales compute clusters based on the workload to simplify provisioning, optimize utilization, and manage computing costs so you can maximize the productivity of your teams and of the return on your computing investments.

About this course

Distributed Compute Frameworks in Domino Data Lab

In this session with Staff Field Data Scientist Subir Mansukhani, we'll review how to use distributed compute frameworks within Domino, including Spark, Ray, Dask, and MPI.

Domino automatically scales compute clusters based on the workload to simplify provisioning, optimize utilization, and manage computing costs so you can maximize the productivity of your teams and of the return on your computing investments.