Run AI and ML Job on HPC Cluster Step by Step Tutorial
Run AI and ML Jobs on an HPC Cluster: Step-by-Step Tutorial
In this video, you'll learn how to run AI and ML jobs on a high-performance computing (HPC) cluster, step by step.
1. Accessing the Cluster:
We'll start by connecting to the cluster using an SSH client such as Putty, PowerShell, or Remmina.
You'll also learn how to use an SFTP client to upload and download your data and code, ensuring a smooth workflow.
2. Creating a Connection Profile:
Setting up a connection profile to streamline the process of logging in and managing files on the HPC cluster.
3. Logging in:
Using both your remote access client and SFTP client, we'll log in to the cluster and prepare for the next steps.
4. Checking Available Modules:
Learn how to check the software modules available on the cluster using the `module avail` command.
We'll cover how to load the required modules for your specific AI or ML workflow.
5. Setting Up Your Environment:
You'll see how to create a virtual environment to isolate your dependencies and keep your work organized.
6. Checking Available Resources:
We'll check the available resources using the commands:
`sinfo` for a general overview of the cluster's status.
`sinfo -Nl` for node-level details.
`sinfo -R` to check any resources that are currently reserved or down.
7. Writing a Shell Script:
You'll write a shell script to automate the execution of your job on the HPC cluster, including specifying the resources and modules needed.
8. Submitting Your Job:
Submit your shell script using the job scheduler, and monitor it in the job queue with the appropriate commands.
9. Checking Job Status:
Learn how to log in to the compute node and monitor the status of resources being utilized by your job, ensuring that everything is running smoothly.
10. Relax and Retrieve Results:
Once your job is complete, log out, relax, and return later to collect your results.
By the end of this tutorial, you'll be able to run AI and ML jobs efficiently on an HPC cluster, from setting up connections to submitting jobs and analyzing the results.
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