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Tetra overview

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Learn how to set up your Tetra development environment to seamlessly run AI workloads using RunPod Serverless resources.

Tetra is a Python SDK that simplifies the deployment AI workflows on RunPod by automating infrastructure management and worker communication. It lets you run code using RunPod compute resources without needing to open the RunPod web—just run your code locally and Tetra takes care of the rest.

What you'll learn

In this tutorial you'll learn how to:

• Set up your development environment for Tetra.
• Configure a Serverless endpoint using a LiveServerless object.
• Create and define remote functions with the @remote decorator.
• Deploy a GPU-based Tetra workload using RunPod resources.
• Pass data between your local environment and remote workers.
• Understand how Tetra manages remote execution.

Requirements

• You've created a RunPod account.
• You've created a RunPod API key.
• You've installed Python (3.9 or greater).

Step 1: Install Tetra