For AI agents: The documentation index is at https://docs.digitalocean.com/llms.txt. Markdown versions of pages use the same URL with index.html.md in place of the HTML page (for example, append index.html.md to the directory path instead of opening the HTML document).

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

27 August 2026

• The following Z.ai model is now available on DigitalOcean Inference for serverless inference, Agent Development Kit, and agents:

  • GLM-5.3 Flash

  For more information, see the Available Models page.

20 August 2026

• Qwen3.8-2.4T-A95B model available on DigitalOcean Inference has been upgraded to Qwen3.8-Max. Qwen3.8-Max supports vision and video input and a 1M-token context window. For more information, see the Available Models page.

19 August 2026

• Inference Router now uses cache-aware routing to maximize prompt cache reuse and automatically applies prompt caching to eligible Anthropic requests. You can opt out of prompt caching for supported models with X-Model-Affinity: none and control cache-aware model switching with the x-routing-max-switch-spend-pct header. For more information, see Use Prompt Caching.

For more information, see the full release notes.