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Runpod Flash

Developer tool

by RunPod

Open-source Python tool that runs serverless GPU and CPU workloads on Runpod from plain Python functions, without writing a Docker image.

Find alternatives to Runpod Flash

What it does

• Model inference
• Workflow automation
• GPU cloud

Features 6

• Python decorator workflowDevelopers write a Python function, decorate it with @Endpoint and run it, and Flash provisions a GPU on Runpod Serverless.
• Queue-based endpointsThe decorator form of Endpoint serves batch jobs and async work.
• Load-balanced endpointsEndpoint instances with route methods serve low-latency HTTP APIs where multiple routes share the same workers.
• Custom Docker imagesA prebuilt worker image such as vLLM or ComfyUI can be called like an HTTP service by passing an image.
• flash deployflash deploy scans a project for endpoint-decorated functions and bundles dependencies into a production deployment.
• Cross-endpoint function callsFunctions on different endpoints in a Flash app can call each other directly using the build manifest for routing.

Sources

Pricing

Official documentation · 17 Oct 2026

"Flash is open source, on PyPI, and ready to use today"; the workloads it launches bill as Runpod Serverless.

Description

Official documentation · 17 Oct 2026

"a production-ready tool for running serverless GPU and CPU workloads in pure Python without needing Docker"

What it does

Official documentation · 17 Oct 2026

Serverless GPU and CPU workloads from Python; "just exposed as a clean Python object" over the Runpod Serverless API.

Sold within

Official documentation · 17 Oct 2026

"just exposed as a clean Python object" over "the Runpod Serverless API"; the tool deploys onto Runpod Serverless and is free itself.

Name

Official documentation · 17 Oct 2026

"Announcing Runpod Flash"

URL

Official documentation · 17 Oct 2026

Read 2026-10-17.

Deployment

Official documentation · 17 Oct 2026

Workloads run on Runpod Serverless.

Interfaces

Official documentation · 17 Oct 2026

"pip install runpod-flash" and "flash login".

Intended for

Official documentation · 18 Oct 2026

Page: 'Python developers would get a lot done if we took it off their plates'.

Also from RunPod

• Pods Infrastructure service

  GPU pods billed by the second, with no egress fees and no minimums, across both datacentre accelerators and consumer cards, sold on price.

• Serverless Infrastructure service

  Autoscaling GPU API endpoints for AI inference, billed per second with scale-to-zero and sub-200ms cold starts.

• Runpod Clusters Infrastructure service

  Multi-node GPU environments with high-speed InfiniBand interconnect for distributed training and large batch workloads.

• Runpod Hub Developer tool

  A catalog of templates, models and open-source AI apps that can be forked and deployed onto Runpod Serverless in one click.

• Public Endpoints Model API

  Instant API access to pre-deployed third-party AI models for image, video, audio and text generation, billed per request or per token with no infrastructure setup.

• Runpod Hybrid Cloud Platform

  Brings customer-owned or rented GPU hardware under Runpod's console, CLI and APIs as a single control plane, with Runpod cloud used for overflow capacity.

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