Inference

Last verified 13 Jul 2026

Inference provides a single control plane for managing inference workflows. It includes a Model Catalog where you can view available foundation models, including both DigitalOcean-hosted and third-party commercial models, compare model capabilities and pricing, use routing to match inference requests to the best-fit model, and run inference using serverless or dedicated deployments.

Browse Models in Model Catalog

Identify the right model for your use case by filtering available foundation models by capabilities and price.

Use Model Playground

Test and compare foundation models in the Model Playground.

Use Serverless Inference

Send API requests directly to foundation models without creating an AI agent or managing infrastructure.

Deploy to Dedicated Inference Endpoints

Deploy open-source and commercial LLMs on dedicated GPUs as an inference endpoint.

Use Inference Router

Route serverless inference requests to foundation models using rules.

Evaluate Models

Determine which model best fits your specific use case.

Use Batch Inference

Batch Inference lets you run large collections of LLM requests as a single asynchronous job.

Use Agent Platform

Use to build fully-managed AI agents with knowledge bases for retrieval-augmented generation, multi-agent routing, guardrails, and more.

Latest Updates

7 October 2026

  • The Cost Analysis tab of the Billing page now includes Serverless Inference Live Usage, which lists the estimated cost and token counts of your Serverless Inference requests by model and model access key, for both teams and organizations. Data refreshes every 10 minutes and covers the last 30 days. For more information, see View Serverless Inference Live Usage.

1 October 2026

  • You can now prepay for Serverless Inference and Managed Agents with the Inference and Agents balance, which no other products draw from. Add $5 to $500 at a time or turn on auto-reload from the Billing page. Funds do not expire. You can also pay for eligible usage at a discount with a monthly plan, now in public preview. See Inference and Agents Balance and How to Pay for Harness Runtime.

  • The Agent Development Kit (ADK), including the gradient-adk Python package and the gradient CLI, is deprecated. You cannot deploy any new agents with ADK. Agents already deployed with ADK continue to run normally and you are billed for model usage. If you are using a DigitalOcean-hosted model, you are charged for those model keys. Migration guidance and end-of-support timeline will be published in the future.

30 September 2026

For more information, see the full release notes.

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