Scale model training in minutes with RAPIDS + Dask + NVIDIA GPUs

 By Google Cloud Blog - 2021-02-24

Description

Scale model training from 10 GB to 640 GB in minutes with RAPIDS + Dask and NVIDIA GPUs on AI Platform

Summary

  • Try GCP Python has solidified itself as one of the top languages for data scientists looking to prep, process, and analyze data for analytics and machine learning (ML) related use cases.
  • If you will be using the AI Notebook instance to generate the Higgs dataset (instructions to come in later section), then upload it to the cloud, you will want to increase your boot disk size to 200GB.
  • On the job details page, you can see a variety of metrics, such as CPU and GPU utilization.
  • You can follow along with the steps by watching the logs.

 

Topics

  1. Backend (0.35)
  2. Machine_Learning (0.13)
  3. Database (0.1)

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