Build on Badgr / Use case
Model-Serving Product
Offer hosted AI models without building your own serving infrastructure.
How it works
1.Your customer chooses a model, configuration, and limits inside your product.
2.Your backend requests a Badgr Serve deployment.
3.Badgr finds compatible compute, starts the runtime, loads the model, establishes an endpoint, and verifies real inference.
4.Your system receives the endpoint/status, usage, cost, lifecycle state, and verification result.
5.Your product exposes the model to its own customer through its own UI/API.
Badgr owns
- Compute matching and provisioning
- Runtime and model loading
- Endpoint lifecycle and health verification
- Cost cap, runtime cap, cancel
- Teardown and billing settlement
You own
- Model and configuration choice
- Your API/UI in front of the endpoint
- Usage and cost pass-through to your customer
- Branding and access control