The outcome

Get into the official DeepInfra experience with the right account and a setup you understand.

DeepInfra is a AI inference cloud with OpenAI-compatible and native APIs, serverless models, private deployments, and GPU infrastructure. Serving language, embedding, reranking, vision, image, video, and speech models through a common API; testing model alternatives; and deploying private models at controlled scale. 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

    Start at https://deepinfra.com/ and confirm the domain before entering account or payment information.

  2. 02

    For desktop use, follow the official download link. Current availability: DeepInfra is a browser-managed cloud service accessed through OpenAI-compatible or native APIs, with serverless inference, dedicated private models, and GPU clusters..

  3. 03

    A DeepInfra account and server-side bearer token, a selected model and license, budgets and rate controls, evaluated prompts and outputs, and a reviewed data path for partner models or bulk inference.

  4. 04

    Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.

  5. 05

    Run one low-risk test task before connecting sensitive files, repositories, or workspace data.

Working standard

What good use looks like.

  • Use official download pages.
  • Review permissions during setup.
  • Keep installers and applications updated.

A compatible API does not make models interchangeable: schemas, licenses, moderation, tool behavior, context, pricing, and output quality vary. DeepInfra generally keeps inference input and output in memory, but image, bulk, debugging, Google, Anthropic, and other stated partner paths can differ. Keep tokens server-side, minimize personal data, verify the selected model's provider policy, and never route model output directly into consequential actions.

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.