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ZeroGPU is an inference provider. We run specialized small and nano language models across an edge-powered network, purpose-built for the high-volume tasks specific verticals depend on, from ad-tech classification to content moderation to document extraction. The result: more efficient compute, faster latency, and roughly 50% lower cost than frontier-model workflows. Because ZeroGPU is OpenAI-compatible, it drops into the tools you already use. The integrations below let you route eligible workloads to ZeroGPU from your coding agents, frameworks, gateways, automation tools, and ad-tech pipelines, without rebuilding your stack. Each page ships when its integration is live. Before you begin, read the quickstart to provision an API key and pick a model from the model catalog. Every integration below points at the same OpenAI-compatible endpoint at https://api.zerogpu.ai/v1. Prefer to call the API directly? Use one of our official SDKs for your language.

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Editor & Agent Integrations

Skills + CLI (Claude Code)

Route Claude Code’s repetitive steps through ZeroGPU from the terminal. Powered by the ZeroGPU Router.

LangChain

Offload classification, extraction, PII redaction, and chat from LangChain agents to ZeroGPU’s nano models with eleven ready-made tools.

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Official SDKs

Call the OpenAI-compatible endpoint from your language of choice. Each guide shows how to point an existing OpenAI client at ZeroGPU.

Python

Use the OpenAI Python SDK with ZeroGPU’s base URL for chat, classification, and extraction.

JavaScript

Drop ZeroGPU into Node.js and the browser with the OpenAI JavaScript SDK.

Rust

Call ZeroGPU’s endpoint from Rust with an OpenAI-compatible client.

Go

Wire ZeroGPU into Go services using an OpenAI-compatible client.

Ruby

Use ZeroGPU from Ruby with the OpenAI-compatible client library.