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AI / LLM

Replicate

Run open-source models via API — mostly image/audio.

Official site
Monthly cost
$0+ / mo
Pay-per-second GPU
Popularity
3/5
LLM knowledge
3/5
Difficulty
Medium
#ai-native

What Replicate is good at

Strengths
  • +Thousands of OSS models
  • +Pay-per-second GPU
  • +Easy API
Tradeoffs
  • Cold starts
  • Best for batch, not latency-critical

Coding-agent prompt

You're working with Replicate. Run open-source models via API — mostly image/audio.

Best practices:
- Lean on: thousands of oss models
- Lean on: pay-per-second gpu
- Lean on: easy api

Things to watch for:
- Watch out for: cold starts
- Watch out for: best for batch, not latency-critical

General guidance:
- Canonical docs: https://replicate.com — check here before inventing APIs.
- Keep secrets in environment variables, never commit them.
- Write TypeScript where the ecosystem supports it; add types to every exported function.
- Add tests for the critical paths before declaring the task done.
- Read-the-docs is usually faster than guessing — cite the docs page in code comments when you apply a non-obvious pattern.

Beginner's guide to Replicate

In one line: Run thousands of open-source AI models via a single API.

Replicate hosts AI models (image, video, audio, LLMs) and bills you per GPU-second. Great when you want a specific open model without setting up your own GPU box.

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