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Get started with Flash

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Latest docs are here: https://runpod-b18f5ded-promptless-flash-documentation-section.mintlify.app/flash/overview

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Flash is a Python SDK that streamlines the development and deployment of AI workflows on Runpod's Serverless infrastructure. It provides an abstraction layer that lets you define, execute, and monitor sophisticated AI pipelines using nothing but Python code and your local terminal, eliminating the need to interact with the Runpod console GUI.

Get started

Learn how to code Flash workflows in serial and parallel by following this step-by-step tutorial:

You can also start by cloning the Flash repository and running the examples inside:

git clone <https://github.com/runpod/flash-examples.git>

Why use Flash?

Flash provides several advantages over vanilla Serverless:

• Simplified workflow development: Define AI pipelines in pure Python with minimal configuration, focusing on your logic rather than infrastructure details.
• Optimized resource utilization: Specify hardware requirements at the function level for precise control over GPU and CPU allocation.
• Seamless deployment: Flash automatically handles Runpod Serverless infrastructure setup, worker communication, and data transfer.
• Reduced development overhead: Skip the tedious process of writing application code, building Docker containers, and managing endpoints for each worker.