Slurm Setup Made Simple (Cluster Toolkit and Google Cloud AI/ML/HPC)

In this hands-on tutorial, I'll walk you through the process of deploying a Slurm workload manager on Google Cloud. Perfect for machine learning and high-performance computing workloads! Free Trial - Our New Diagram Tool: https://softwaresim.com/pricing/ ("YOUTUBE24" for 25% Off) Demonstration Diagram: https://github.com/nodematiclabs/slurm-setup What You'll Learn: - Setting up a new Google Cloud project for Slurm - Enabling necessary Google Cloud APIs (Filestore, Cloud Storage, Service Networking) - Using the Google Cloud Cluster Toolkit to deploy Slurm - Understanding the blueprint architecture with debug nodes, compute nodes, and H3 nodes - Connecting to and running jobs on your Slurm cluster - Proper teardown to avoid unnecessary costs Have questions about setting up Slurm on Google Cloud? Drop them in the comments below! 0:00 Conceptual Overview 1:00 Service APIs 2:35 Service Accounts 3:32 Cluster Toolkit 4:59 Cluster Blueprint 8:14 Create and Deploy 13:01 Slurm Login Node #googlecloud #HPC #machinelearning