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.
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.
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.
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.