The outcome

Serve a custom model reliably without public management exposure or runaway workers and storage.

Novita AI is a Multimodal model API and GPU platform for language, image, audio, video, and custom inference workloads. Adding language, image, audio, or asynchronous video generation to applications, or deploying custom containers and models on dedicated or autoscaling GPU endpoints. 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 model license, container trust, traffic, GPU, memory, latency, concurrency, cold start, availability, storage, secrets, health, observability, cost, and rollback targets.

  2. 02

    Pin and scan the container, restrict registry credentials, use least-privilege model tokens, expose only the inference port, and separate source, model, and output storage.

  3. 03

    Create a test endpoint with a real health path, explicit command, minimum and maximum workers, queue or concurrency scaling, idle timeout, request timeout, and budget alerts.

  4. 04

    Load-test initialization, queueing, scale-to-zero, replicas, GPU memory, malformed input, timeouts, log redaction, model output, regional failure, and per-task cost.

  5. 05

    Canary production traffic, monitor workers and spend, preserve a prior image and alternate path, rotate secrets, and verify deleted endpoints and volumes stop billing.

Working standard

What good use looks like.

  • Pin and scan container images.
  • Bound minimum and maximum workers.
  • Verify resource deletion and billing.

A unified or OpenAI-compatible API does not make different models behaviorally interchangeable. Image, audio, and video jobs may be asynchronous and involve third-party model terms, callbacks, temporary assets, and identity risks. Validate input rights, authenticate webhooks, keep keys private, moderate outputs, pin models, cap retries and workers, download approved results securely, and verify deletion and billing.

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.