Groq provides cloud infrastructure and developer APIs for running AI model inference.
DigitalOcean
DigitalOcean offers cloud infrastructure for AI agents, inference, and production AI products.
About DigitalOcean
DigitalOcean is a cloud platform described as AI-native, combining infrastructure for agents, inference, and general cloud workloads. It organizes its services into five layers: Managed Agents, Data & Learning, Inference Engine, Core Cloud, and Infrastructure.
With it, users can build and run production agents, run inference in serverless, dedicated, or batch modes, and route requests across models through one endpoint. It also provides Droplets with CPU and GPU, managed Kubernetes, App Platform, storage, networking, functions, and managed databases including vector databases and knowledge bases. The infrastructure section lists 20 data centers across 12 regions with NVIDIA and AMD hardware.
It suits developers and teams that need to host AI products alongside standard cloud resources. Those already using Droplets, Kubernetes, or managed databases and who want to add agents or model inference in the same environment may find the setup relevant.
Key features
- Managed Agents runtime with tool and orchestration integrations
- Serverless, dedicated, and batch inference on one endpoint
- Inference Router to select model per request
- GPU and CPU Droplets, Kubernetes, and App Platform
- Managed databases, vector databases, and knowledge bases
- 20 data centers across 12 regions with NVIDIA and AMD GPUs
Best for: Developers and teams building and running production AI agents and inference workloads.
Good for
- Combines agents, inference, data, and cloud services
- Supports open models and open-source integrations
- Uses one CLI, API, and bill across services
- Provides tutorials, blogs, and technical articles
Watch out for
- Some listed agent and inference features are in preview
DigitalOcean at a glance
- Website
- digitalocean.com
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
DigitalOcean alternatives
Tools and sites you could use instead, ranked by how closely they match.
EigenCloud offers verifiable cloud infrastructure for building apps and AI agents, with a focus on trusted and accountable agent tasks.
Hyperbrowser provides cloud browser infrastructure for AI agents and applications.
CoreWeave presents cloud infrastructure for AI and machine learning, with deployment and scaling for production models.
Cortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production.
Ducky provides managed AI retrieval and RAG infrastructure for adding search to developer products.
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DigitalOcean FAQ
What is DigitalOcean used for in AI?
It provides cloud infrastructure to build agents, run inference, and host production AI products.
Does DigitalOcean support open models?
Yes, it lists DeepSeek, Llama, Qwen and support for bringing your own model.
What cloud infrastructure does DigitalOcean provide?
It offers Droplets, Kubernetes, App Platform, storage, networking, and managed databases.
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