Integration Guide
RunPod + Meridian
Run your own models on RunPod's GPU cloud for privacy and control. Use Meridian for frontier models when you need maximum capability. One API surface, zero lock-in.
1
Deploy a model on RunPod
Spin up a GPU pod with your model of choice — Llama, Mistral, or any GGUF/Ollama-compatible model. Note the pod ID and port.
2
Expose an OpenAI-compatible endpoint
Use RunPod's built-in OpenAI-compatible server or deploy vLLM / text-generation-inference. Meridian speaks the OpenAI chat completions protocol.
3
Add your endpoint to Meridian
In your Meridian dashboard, navigate to Settings → Custom Providers. Paste your RunPod endpoint URL and optional API key. Meridian will validate the connection.
4
Route requests
Use model routing rules to send specific models to RunPod. Everything else falls back to Meridian's frontier models automatically.