The outcome

Release a tested deployment without changing the client endpoint or losing a fast rollback path.

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

    Create staging and production environments with explicit instance type, minimum and maximum replicas, concurrency, and scale-down delay.

  2. 02

    Promote the candidate to staging and run automated evaluations, load tests, cold-start checks, and manual output review.

  3. 03

    Compare metrics with the current production deployment and define abort thresholds for errors, latency, quality, and cost.

  4. 04

    Promote through a canary or controlled traffic shift while monitoring logs, traces, replicas, queueing, and application outcomes.

  5. 05

    If thresholds fail, re-promote the last known-good deployment; otherwise deactivate obsolete versions to stop unnecessary cost.

Working standard

What good use looks like.

  • Separate deployment from promotion.
  • Set scaling from measured concurrency.
  • Keep rollback rehearsed and immediate.

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.