The DigitalOcean AI-Native Cloud is where developers and AI-native companies build, run, and scale apps and agents. One account covers Droplets, GPU Droplets, MicroVMs, Managed Agents, Serverless and Dedicated Inference, managed databases, object storage, and networking, on one bill.

Yes. DigitalOcean combines Serverless Inference, GPU Droplets, managed databases, and object storage into a single account, with a single invoice, and private networking between resources in the same region. Your AI workloads run next to your data, with no cross-provider egress fees.

DigitalOcean is a full-stack, AI-native cloud for building, scaling, and deploying intelligent applications. Managed Agents runs each agent in its own isolated MicroVM that pauses when idle, so you aren’t paying for compute while it waits. The same account also gives your agent access to Serverless Inference and managed databases.

There are two paths to run an always-on agent on DigitalOcean. With Managed Agents, you bring the harness you already use, such as Claude Code, Codex CLI, OpenCode, Hermes, CrewAI, or LangGraph. DigitalOcean runs it in an isolated MicroVM that pauses when idle, with inference and governed access to 16,000+ tools in the same account. If you want full control, you can also run the agent yourself on a MicroVM alongside managed databases and object storage, and call models via Serverless Inference.

Serverless Inference is a managed service for calling foundation and decision models through a shared endpoint, with no GPUs to provision. DigitalOcean Serverless Inference offers pay-per-token access to 85+ open-source and frontier models in the Model Library, with scale-to-zero pricing. It suits prototyping, bursty traffic, and catalog models.

It depends on what you’re building. To run an app, start with a Droplet or MicroVM, then add a managed database and object storage as you grow. To run an agent, use Managed Agents. You bring the harness you already use, and DigitalOcean runs it in an isolated MicroVM with inference and tools in the same account. To call models from your app, start with Serverless Inference and pay per token. All three run in one account, so you can add the others later without switching providers.

DigitalOcean offers Serverless Inference, a managed shared endpoint billed per token, Dedicated Inference, and GPU Droplets for workloads where you want control of the serving topology. Start on Serverless to prototype or handle bursty traffic. Move to Dedicated Inference as volume grows without leaving the platform.

DigitalOcean is built for simplicity, with a clean UI, transparent consumption-based billing, and OpenAI-compatible APIs. Teams at AI native companies ship production AI faster because the infrastructure complexity is handled for them. AI observability startup Traversal makes millions of API calls a month through the DigitalOcean AI Platform and reports nearly 99.96% availability.

Cost depends on your workload, but you only pay for what your agents use. On Managed Agents, agents pause when idle, so you aren’t paying for compute while they wait. To control inference spend, the Inference Router matches each request to a task you define and picks a model by cost or speed, so only the requests that need a premium model go to one. See current pricing for details.

Start in minutes with Serverless Inference: call open-source models through an API, pay per token, and skip the infrastructure entirely. When you need dedicated performance, Dedicated Inference runs your model on GPUs we manage for you, and Bring Your Own Models (BYOM) lets you import your own Safetensors weights from Hugging Face or Spaces in supported architectures. If you’d rather own the serving stack, spin up a GPU Droplet. Every option offered by DigitalOcean runs in the same account as your databases, storage, and networking, so your model sits right next to the rest of your app.