Run a Machine Learning Docker Dev Container in a Google Cloud Virtual Machine
In this video I show you a solution to run compute intensive Machine Learning/ AI projects (eg. A building Energy Management - Reinforcement Learning Project) using GCP Resources (eg. A Virtual Machine).
Steps:
Create a VM in GC using compute engine.
Allow permission for Docker to run in the VM.
Pull Sinergym Image from Docker Hub, then create and run a container in the VM.
SSH into the VM using VSCode and enter the container.
Develop in the container.
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