DigitalOcean

DigitalOcean offers an AI-native cloud platform designed for building, deploying, and scaling intelligent applications. The platform provides a unified stack from silicon to agent, focusing on performance, economics, and simplicity. It integrates various services, including compute, containers, managed databases, networking, security, and storage, with a strong emphasis on AI-specific functionalities.

The company highlights its focus on AI products, including Agent Droplets for managed agents, serverless inference, and intelligent routing across over 80 models. DigitalOcean claims to offer significant cost reductions and performance improvements for AI workloads, citing examples like 67% lower cost and 10x serving throughput compared to other providers. The platform is built for agents and is open at every layer, from agent runtimes to inference and GPUs.

Best for

• Developers building AI agents and intelligent applications
• Companies looking for cost-effective AI inference and model serving
• Teams needing an integrated platform for AI development and deployment
• Startups and SMBs requiring scalable cloud infrastructure with AI capabilities
• Users who prioritize open-source integrations for their AI stack

Frequently asked questions

What are Agent Droplets?

Agent Droplets are a feature within DigitalOcean's platform designed for building with Managed Agents. They offer a single price and bill for the necessary resources.

What AI models does DigitalOcean support?

DigitalOcean's Inference Engine supports over 75 models, including open-weighted, frontier, and decision models. It also allows for the use of custom fine-tuned models.

Does DigitalOcean provide GPU access?

Yes, DigitalOcean offers infrastructure with NVIDIA H100/H200/B300 and AMD Instinct™ MI300X/MI325X/MI350X/MI355X GPUs.

How does DigitalOcean compare in terms of performance for AI workloads?

DigitalOcean claims sub-second Time-to-First-Token (TTFT) and 3.9x higher output speed compared to AWS Bedrock, based on independent benchmarks.

What are Managed Agents?

Managed Agents are production agents that run on the same stack as your data, inference, and infrastructure, aiming to reduce cross-vendor dependencies and context loss.

Alternatives

• Replit – Pick Replit for an in-browser development environment with integrated AI tools.
• Vercel – Choose Vercel for deploying web applications and AI agents with a focus on global delivery and frontend development.
• Cloudflare – Consider Cloudflare for building, securing, and scaling applications without managing infrastructure, especially for edge computing and network services.
• Netlify – Use Netlify for deploying static sites and serverless applications directly from Git or with AI assistance.
• Render – Select Render for a cloud platform that supports deploying web services, databases, and cron jobs with automatic scaling.
• Railway – Opt for Railway if you need to deploy web apps, databases, and services with automatic scaling and a developer-friendly experience.
• Fly.io – Go with Fly.io to run full-stack applications and AI agents closer to your users for lower latency.
• AWS – Choose AWS for a comprehensive suite of cloud computing services suitable for businesses of all sizes and a wide range of workloads.