DigitalOcean
AI-native cloud platform offering GPUs, inference, managed databases, Kubernetes, and managed agents for building and scaling applications.
At a Glance
About DigitalOcean
DigitalOcean is a cloud provider founded in 2012 whose first product was the Droplet virtual machine. It now positions itself as an AI-native cloud, spanning infrastructure, inference, data services, and managed agent runtimes. Its site lists 20 data centers across 12 regions.
What It Is
DigitalOcean is a cloud platform for developers, startups, and small-to-medium businesses. It combines core cloud primitives (Droplets, Managed Kubernetes, App Platform, Functions, networking, storage, backups, and security controls) with AI-specific products such as GPU Droplets, Bare Metal GPUs, and an Inference Engine. The company describes its offering as five layers: Managed Agents, Data & Learning, Inference Engine, Core Cloud, and Infrastructure.
Inference and Data Layers
The Inference Engine offers serverless, dedicated, and batch inference on one endpoint, with over 70 open-weight and frontier models or bring-your-own-model. An Inference Router (public preview) lets teams define routing policies by natural language or structured rules to balance cost, latency, and reliability. Evaluations run LLM-as-a-Judge comparisons, and a Model Playground and Model Catalog support side-by-side testing across text, image, audio, and video models. Content Safety Guardrails apply policy-based allow, flag, or block decisions to inference requests. For data, it offers Managed Databases (PostgreSQL, MySQL, Valkey, OpenSearch), Knowledge Bases for managed RAG, and Managed Weaviate in public preview.
Managed Agents
Managed Agents is in Public Preview. DigitalOcean Harness Runtime provides durable, isolated sessions for coding agents that can run in parallel and be paused and resumed. Action Gateway gives governed access to 16,000+ tools through one managed endpoint, with credentials brokered at execution time and not exposed to the model. Launchpad provides starter kits for RAG assistants, data pipelines, and observability. DigitalOcean lists integrations with Claude Code, Codex CLI, OpenCode, LangGraph, Hermes, and MCP.
Vendor Performance Claims
DigitalOcean states that Artificial Analysis benchmarked DeepSeek V3.2 on its platform with sub-second time-to-first-token and 3.9x higher output speed than AWS Bedrock. Its customer examples, such as Workato and Hippocratic AI, report cost, throughput, and latency improvements; these are vendor-published claims.
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Pricing
Free trial
$5 free credit applied to new accounts
- Credit valid for 90 days in the FAQ example
Droplets
Highly-efficient virtual machines
- Per-sec billing with 60 sec minimum or $0.01, whichever is higher
- Deploy in seconds
- Scale up on demand
Kubernetes
Simple, managed Kubernetes
- Free control plane, free bandwidth allowance
Managed Databases
Fully managed and maintained databases
- Managed MongoDB, Kafka, PostgreSQL, MySQL, Caching, Valkey, and OpenSearch
- Free daily backups, automated failover
Inference
AI models for every use case, pay only for what you use
- Starting at $0.05/M tokens
- Deploy with a single API
GPU Droplets
Scalable machines for AI/ML workloads
- Starting at $1.91/GPU/hour based on multi-month contractual commitment
- On-demand pricing from $0.76/GPU/hour
Harness Runtime
Durable cloud sandboxes for AI coding agents
- Starting at $0.0535/hr
Capabilities
Key Features
- Droplets (CPU and GPU virtual machines)
- GPU Droplets and Bare Metal GPUs
- Serverless, dedicated, and batch inference
- Inference Router with policy-driven routing
- Model Catalog and Model Playground
- LLM-as-a-Judge Evaluations
- Content Safety Guardrails
- Managed Agents with Harness Runtime and Action Gateway
- Knowledge Bases (managed RAG)
- Managed Databases and vector databases
- Managed Kubernetes
- App Platform and Functions
- Networking, storage, backups, and security controls
- Launchpad starter kits
