The outcome

Produce a versioned model endpoint whose dependencies, resources, inputs, and outputs have been verified.

Baseten is a managed platform for packaging, deploying, scaling, and operating AI models. Turning open or custom models into versioned autoscaling APIs with development deployments, stable environments, observability, and controlled promotion. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Define the model artifact and license, endpoint schema, hardware, dependencies, secrets, latency target, and evaluation cases.

  2. 02

    Create or review the Truss configuration with pinned packages, explicit resources, bounded request handling, and secret references.

  3. 03

    Push a development deployment, inspect build and load logs, and confirm credentials and private artifacts are not exposed.

  4. 04

    Run representative, adversarial, malformed, concurrent, and large requests while measuring quality, latency, memory, and errors.

  5. 05

    Publish a new immutable deployment only after the evaluation passes, and record its ID, configuration, model hash, and results.

Working standard

What good use looks like.

  • Keep configuration reproducible.
  • Reference secrets instead of embedding them.
  • Test the endpoint contract under load.

GPU deployments can create ongoing cost and production logs or traces may contain sensitive data. Use secret references, environment separation, bounded autoscaling, output validation, access controls, and reversible promotions.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.