DigitalOcean · AI/ML

Model Library

DigitalOcean’s Model Library acts as a unified gateway for testing and deploying large language models from OpenAI, Anthropic, and Meta. You can benchmark these providers side-by-side in the Model Playground before committing to production. Once selected, you push the model to DigitalOcean’s infrastructure using either Serverless or Dedicated Inference endpoints, keeping your AI workflows within their ecosystem.

This setup suits teams already using DigitalOcean who want to avoid managing separate GPU clusters or juggling multiple vendor contracts. The main friction point is the strict pay-as-you-go pricing with no free tier available. You must budget for every API call or inference hour from day one, making it less appealing for hobbyists or early-stage experiments that rely on free credits to iterate.

• Free tier No
• Pricing Pay as you go
• Regions 8 · 3 continents
• SLA uptime 99.99%
• Compliance 5 certifications
• Provider health B