Custom Model Hosting

Your model.
Our edge.

Fine-tuned model? Proprietary weights? Custom voice? Bring it to PolarGrid. We host it at the edge, keep it warm, and hand you an OpenAI-compatible endpoint.

How It Works

Three steps to production.

01

Share your model

Send us your weights via HuggingFace, S3, or direct upload. We support most popular architectures.

02

We deploy to the edge

Your model gets loaded onto PolarGrid nodes and kept warm 24/7. No cold starts, no queues.

03

You get an endpoint

OpenAI-compatible API endpoint. Swap it in wherever you currently call an LLM.

Supported

What we can host.

Fine-tuned Llama variants
Fine-tuned Qwen variants
Custom embedding models
Proprietary voice / TTS models
Instruction-tuned models
Domain-specific LLMs

Don't see your architecture listed? Get in touch — we evaluate new architectures on a case-by-case basis.

Why PolarGrid

No GPU ops. Just inference.

Always warm

Your model stays loaded on GPU 24/7. No cold starts, no spin-up delays on the first request.

Edge-located

Deployed to PolarGrid's network of edge nodes. Low latency for your users regardless of geography.

OpenAI-compatible

Every hosted model gets an OpenAI-compatible endpoint. No SDK changes on your end.

Dedicated capacity

Your model runs on reserved GPU capacity — not shared with other tenants at peak time.

Ready to bring your model?

Pricing is based on model size and throughput requirements. Reach out and we'll scope it out.