How It Works

From template to live API in three steps

OpenLLM Buddy is managed deployment for open-source LLMs: you choose the model and GPU, we run the infrastructure, you integrate with tools you already use.

Three Steps. Deploy to API.

Pick a model on dedicated NVIDIA GPU, buy a flat time pack, and call your instance with an OpenAI-compatible API — we handle provisioning, limits, and uptime.

01

Pick a model & time pack

Browse the OpenLLM catalog — the same models as the Models page, each paired with a dedicated GPU. Select a flat time pack (11 hours, 24 hours, a week, or a month). One price, no per-token meter.

/selfdeploy#templates Kimi-K3 · 8× H100 Qwen-Image · RTX 4090
Browse templates
02

Pay & we spin it up

Checkout with Razorpay. We provision your dedicated GPU and surface progress on My Instances. When status is Live, copy your API key and base URL from the console.

Pay & deploy → /console/pods queued → provisioning → Live API key: ob_sk_••••••••
Open deploy
03

Call it like OpenAI

POST to /v1/chat/completions with your key and model handle (e.g. gemma4:26b or qwen3.6:27b). Drop the same base URL + Bearer token into Open WebUI, SillyTavern, Cursor, Continue, LangChain, n8n, Codex, or any OpenAI-compatible tool.

POST /v1/chat/completions model: "gemma4:26b" Authorization: Bearer ob_sk_…
API reference

Ready to deploy

Compare AI models, see flat pack pricing, or jump straight into deploy.