Main revenue sources: 1) AI inference services (serverless/dedicated/batch, intelligent model routing) β AI direct. 2) Core cloud (compute CPU/GPU droplets, Kubernetes, storage, networking) β AI indirect pull-through plus non-AI workloads. 3) Data layer (managed MySQL/Postgres, vector databases, caching, object/block/file storage) β AI direct and non-AI. 4) Managed agents/orchestration/middleware (agent runtime, observability, sandboxing) β AI direct. 5) Bare Metal GPU rentals β AI direct but shrinking mix. AI customer ARR is growing rapidly (221%) with >80% from inference/core cloud, making AI a meaningful but not majority revenue driver.
Quotes from digitalocean Executives About Artificial Intelligence and Generative AI
We launched the DigitalOcean AI native cloud last week, the most significant product launch in our history.
- Padmanabhan Srinivasan
The thinking part is powered by AI models in inferencing mode and the doing part is delivered by a variety of modern cloud computing modules, all working together to take intelligent, autonomous real-world action.
- Padmanabhan Srinivasan
DigitalOcean's AI native cloud is purpose built for AI natives building exactly these types of workloads.
- Padmanabhan Srinivasan
Our AI customers are the other key driver of accelerating growth. AI customer ARR reached $170 million, growing 221% year-over-year.
- Padmanabhan Srinivasan
The market is validating what we have long believed that infrastructure without intelligence, without orchestration and a full cloud platform is insufficient for what AI native workloads actually demand.
- Padmanabhan Srinivasan
Agentic applications require intelligence CPU-based execution, stateful memory, manage high-performance storage and databases and orchestration, all working together natively not assembled after the fact.
- Padmanabhan Srinivasan
ARR from our AI customers reached $170 million, growing at 221% year-over-year.