Digitalocean
DigitalOcean is a cloud infrastructure provider offering an AI-native platform that integrates GPUs, inference, data & learning, managed agents, and core cloud services to build, deploy, and scale AI and developer workloads.
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Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
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AI Agents
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Digitalocean
DigitalOcean provides an AI-native cloud platform that spans five integrated layers—Managed Agents, Data & Learning, Inference Engine, Core Cloud, and Infrastructure—designed for production AI workloads. The platform includes GPU infrastructure (NVIDIA H100/H200/Blackwell, AMD Instinct families), an inference stack with over 70 models and an Inference Router, and managed services like Droplets, Managed Kubernetes, Managed Databases, storage, and networking. DigitalOcean positions the platform for developers, startups, SMBs, and teams running large-scale inference and agent workloads, emphasizing performance, consistent latency, and economics that improve as customers scale.
DigitalOcean is a cloud infrastructure provider offering an AI-native platform that integrates GPUs, inference, data & learning, managed agents, and core cloud services to build, deploy, and scale AI and developer workloads.
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Claim this listing for $29Key Features
Managed Agents
Production agents that run on the same stack as data, inference, and infrastructure to avoid cross-vendor hops and egress fees.
Inference Engine
Serve over 70 open-weighted and frontier models on a single endpoint with serverless, dedicated, or batch inference and an Inference Router to optimize calls.
Owned Silicon & Fabric
DigitalOcean manages its own silicon and high-performance fabric (400G RoCE) to improve unit economics and performance as customers scale.
Core Cloud Services
Standard cloud primitives including Droplets (CPU & GPU), Managed Kubernetes, App Platform, Functions, Load Balancers, and storage options.
Data & Learning
Persistent memory and continuous learning features, open integrations for retrieval and embedding (pgvector, Qdrant, LlamaIndex, Chroma, etc.).
Infrastructure Options
Multiple GPU families (NVIDIA, AMD), bare metal GPUs, air- and liquid-cooled data centers across global regions, and open monitoring integrations.
Open integrations & Model Library
Support for open-source integrations and models (DeepSeek, Qwen, vLLM) and the ability to bring your own models.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
High-volume inference
Run large-scale inference workloads with serverless, dedicated, or batch inference and model routing to optimize cost and performance.
Real-time and production agents
Deploy production agents that maintain context and operate on the same stack as data and inference to reduce latency and complexity.
AI training and fine-tuning
Leverage GPU droplets, bare metal, and managed infrastructure to train, fine-tune, and serve models using supported open model tooling.
Web & App hosting for developers
Use Droplets, App Platform, Managed Kubernetes, and managed databases to host web apps, APIs, and backend services.
Startups and SMBs scaling
Economic advantages and simplified billing/operations to help startups and SMBs scale AI and developer workloads.
Healthcare and regulated agents
Examples on the page highlight healthcare agents (Hippocratic AI) running with lower end-to-end latency for patient interactions.
Integrations
Open agent orchestration (OpenCode, LangGraph, CrewAI, MCP / A2A, E2B, Daytona)
Supports open agent orchestration tools to manage agents and workflows on the platform.
Retrieval & embedding tooling (pgvector, Qdrant, LlamaIndex, Chroma, PostgreSQL, MySQL, Valkey)
Open integrations for retrieval, embedding, and vector stores to build data & learning pipelines.
Monitoring & compute integrations (Prometheus, Grafana, Ollama, Kubernetes, Cilium, MinIO)
Support for common open-source monitoring and orchestration tools for infrastructure and observability.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Sign up for a DigitalOcean account (Sign up / Log in available on site).
- 2 Explore AI-native products (GPU Droplets, Inference Engine, Managed Databases, Kubernetes) and choose the service that matches your workload.
- 3 Provision compute or inference resources (Droplet, Dedicated/Serverless Inference) and configure storage/networking.
- 4 Deploy models or applications and use DigitalOcean's CLI/API and integrations to manage, monitor, and route inference traffic.
- 5 Scale resources and take advantage of managed services, model evaluations, and open integrations as needed.
Support
Support
Get Support link available from the site for product and account assistance.
Sales
Contact Sales option available for enterprise or large-scale purchase discussions.
Documentation
Documentation and developer resources listed in the site navigation for product guides and API reference.
Community
Community resources, tutorials, Q&A, and research pages for developer engagement.
API
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