- Write once, run anywhere: Package and test model code, weights, and dependencies with a model server that behaves the same in development and production.
- Fast developer loop: Implement your model with fast feedback from a live reload server, and skip Docker and Kubernetes configuration with a batteries-included model serving environment.
- Support for all Python frameworks: From
sklearn, Truss supports models created with any framework, even entirely custom models.
See Trusses for popular models including:
Deploy your first model
Package, deploy, and invoke an ML model in production all in less than five minutes.
Learn model deployment step-by-step from “Hello, World!” to streaming output from an open-source LLM.