AI-Native Cloud

A single platform from the silicon up to the agent, with unit economics that get better as you grow.

Teams building everything from real-time agents to trillion-token workloads run on DigitalOcean.

67%lower cost

Workato moved 1T+ automation tasks to the Inference Engine and cut cost 67%, pushing more throughput from the same workload.

◈ workatoLearn more →
inference throughput

Character.ai serves more than a billion queries a day, doubling production inference throughput on AMD Instinct GPUs.

(character.ai)Learn more →
40%reduction in latency

Hippocratic AI powers 20M+ patient interactions with healthcare agents, trimming end-to-end P99 latency by 40% at twice the throughput.

⬡ Hippocratic AILearn more →

Five layers. One platform. Open at every layer.

GPUs to agent runtimes: each layer is purpose-built for production AI and connected to the next. Most clouds stop at one or two layers, or scatter all five across hundreds of services.

Managed Agents
Data & Learning
Inference Engine
Core Cloud
Infrastructure

Managed Agents

Run production agents on the same stack as your data, inference, and infrastructure. Nothing hops between vendors, context stays put, and no egress fees apply between layers.

Products

  • Open Harness
  • Sandbox
  • Plano
  • Toolbox
  • State

Open Source Integrations

Open agent orchestration: OpenCode, LangGraph, CrewAI, MCP / A2A, E2B, Daytona

Performance, economics, and simplicity. Together.

Performance proven in production

Sub-second time-to-first-token and 3.9× the output speed of AWS Bedrock, with the most consistent latency across context lengths of any provider tested (independent benchmarks by Artificial Analysis on DeepSeek V3.2).

Open models you already trust

DeepSeek, Llama, Qwen, frontier labs, and your own fine-tunes behind one OpenAI-compatible endpoint. The Inference Router picks the best model for each call, so your code stays the same when better models ship.

Built for how builders ship

One CLI, one API, one bill. Migrate in a line of code and leave on the same terms, without stitching a half-dozen vendors together.

Economics that compound as you scale

Owning the silicon, the fabric, and the Inference Engine end-to-end means every optimization below the line flows forward to you: performance and unit economics improve in lockstep.

Resources

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Tutorial

Choosing the Right Model for Your Inference Use Case

July 8, 2026 · 10 min read

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Tutorial

The Inference Cost Model Nobody Has Published: Token Economics Across Traffic Profiles on Dedicated GPUs

July 8, 2026 · 31 min read

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Tutorial

Speculative Decoding on vLLM: A Configuration and Decision Framework

July 2, 2026 · 21 min read

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GPU inference, Kubernetes, managed databases, storage: everything you need to build, scale, and ship intelligent applications.

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