CloudflareAI
CloudflareAI provides infrastructure to build and deploy AI agents and applications on Cloudflare's global network with serverless GPU inference and Vectorize.
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What is CloudflareAI?
CloudflareAI is Cloudflare AI is a full-stack infrastructure platform for building, deploying, and scaling AI agents and applications globally. It provides serverless GPU inference, agent orchestration via Agents SDK and MCP servers, RAG workflows, and vector storage—all running on Cloudflare's network that powers 20% of the Internet.
CloudflareAI pricing
Pricing model: Free
CloudflareAI pros
- Serverless GPU inference responding in <100ms worldwide with no cluster management required
- Complete agent toolkit: Agents SDK (TypeScript), MCP server support, 190+ model locations (Llama 3, Gemma 3, Whisper, TTS), and built-in state management
- Full RAG solution with AI Search, Vectorize vector database, and R2 storage (zero egress for training data)
- Multi-modal agents supporting WebSockets, email, voice, and real-time streaming; OAuth-integrated MCP servers
CloudflareAI cons
- Agents SDK requires TypeScript; not language-agnostic for development
- Pricing not detailed on marketing page; may require consulting sales for enterprise use cases
- Steep learning curve for integrating Cloudflare-specific primitives (Workers, Durable Objects, MCP protocols)
Frequently asked questions about CloudflareAI
What AI models are available?
Access to Llama 3, Gemma 3, Whisper, TTS, and LoRA-fine-tuned variants across 190+ global locations via Workers AI model catalog.
How fast is inference?
Models respond in under 100ms worldwide with serverless GPU inference; no cluster provisioning or management needed.
Can agents use external models and APIs?
Yes—agents can call any AI model, integrate external APIs and browsers, fetch data from any source, and add custom methods.
What storage options exist for training data?
R2 object storage for training data, checkpoints, and uploads with $0 egress; Vectorize provides globally-replicated vector database for RAG.