Better Hardware Provisioning for ML Experiments on GCP

Опубликовано 18 октября 2022, 19:00

Go over the pain points of provisioning hardware, especially for ML experiments, discuss how they originate, and how we can better provision hardware with code using Vertex AI Workbench instances and Terraform. By the end of this presentation, you’ll have the skills and knowledge to inspect your ML hardware provisioning workflows and find scopes for improving them with code.

Speaker: Sayak Paul

Watch more:
All sessions from Google Cloud Next → goo.gle/next22-allsessions
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