Edge Computing Platform

Cloudflare Edge LLM Gateway

Deploy your AI gateway at the edge with Cloudflare's global network spanning 280+ locations worldwide. Achieve ultra-low latency, automatic DDoS protection, and intelligent request routing for your LLM applications.

What is Cloudflare Edge LLM Gateway?

Cloudflare Edge LLM Gateway is a cutting-edge solution that leverages Cloudflare's extensive global network to deploy AI proxy services at the network edge. By executing your LLM gateway logic in Cloudflare Workers, requests are processed at data centers physically closest to your users, dramatically reducing latency and improving response times for AI-powered applications.

This edge-native architecture transforms how organizations deploy and manage LLM infrastructure. Instead of routing all API calls through centralized servers, the gateway processes requests at edge nodes distributed across the globe, ensuring consistent performance regardless of user location while maintaining robust security and compliance standards.

The platform integrates seamlessly with Cloudflare's suite of services including Workers KV for distributed caching, Durable Objects for stateful operations, and R2 Storage for large-scale data persistence. This comprehensive ecosystem enables sophisticated gateway patterns without the complexity of managing traditional infrastructure.

280+ Global Edge Locations
<50ms Average Latency
100Tbps Network Capacity
99.99% Uptime SLA

Core Capabilities

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Global Edge Network

Deploy your LLM gateway across 280+ edge locations worldwide. Users connect to the nearest node automatically, ensuring consistent low-latency experiences for AI interactions.

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DDoS Protection

Benefit from Cloudflare's enterprise-grade DDoS mitigation. Protect your LLM API endpoints from volumetric attacks, application-layer threats, and malicious bot traffic automatically.

Workers Platform

Write gateway logic in JavaScript, TypeScript, or Rust using Cloudflare Workers. Leverage the V8 engine for near-native performance with automatic scaling and zero cold starts.

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Distributed Caching

Use Workers KV for globally distributed caching of LLM responses. Reduce API costs by serving cached responses and improve user experience with instant answers.

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Intelligent Routing

Implement advanced routing logic at the edge. Direct requests to different LLM providers based on model availability, cost optimization, or geographic compliance requirements.

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Real-time Analytics

Monitor request volumes, latency distributions, and error rates across all edge locations. Gain insights into usage patterns with Cloudflare Analytics Engine.

Implementation Example

Deploying an LLM gateway on Cloudflare Workers is straightforward. The serverless architecture eliminates infrastructure management while providing powerful capabilities for request handling, authentication, and response processing.

worker.js
// Cloudflare Worker LLM Gateway export default { async fetch(request, env, ctx) { // Parse incoming request const body = await request.json(); const cacheKey = new Request(request.url, { method: 'GET', headers: { 'Cache-Key': hashBody(body) } }); // Check KV cache const cached = await env.CACHE.get(cacheKey.url); if (cached) { return new Response(cached, { headers: { 'X-Cache': 'HIT' } }); } // Forward to LLM provider const response = await fetchLLM(body, env); // Cache response for 1 hour ctx.waitUntil( env.CACHE.put(cacheKey.url, response, { expirationTtl: 3600 }) ); return response; } };

Global Edge Coverage

Your LLM gateway runs at edge locations across all major regions

North America Europe Asia Pacific South America Middle East Africa Australia

Why Choose Cloudflare Edge?

Advanced Features

Durable Objects: Maintain stateful connections for streaming conversations, session management, and real-time collaborative AI features. Durable Objects provide strongly consistent state with automatic replication.

Workers AI: Run AI models directly at the edge using Cloudflare's built-in AI inference platform. Execute smaller models locally for classification, embedding generation, or preprocessing before forwarding to larger LLMs.

R2 Storage: Store conversation logs, training data, and model artifacts with zero egress fees. Integrate seamlessly with Workers for persistent data management across your gateway infrastructure.

Queues: Implement asynchronous processing patterns for long-running LLM tasks. Offload expensive operations to background workers while responding immediately to users.

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Stream Processing

Handle streaming responses from LLM providers efficiently at the edge. Transform and augment responses in real-time as they flow through your gateway.

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A/B Testing

Implement sophisticated A/B testing for prompt engineering and model selection. Route traffic to different providers or configurations based on percentage splits.

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Rate Limiting

Enforce sophisticated rate limiting at the edge using Durable Objects. Implement token bucket algorithms, sliding windows, and user-level quotas.

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Secrets Management

Store API keys and sensitive credentials securely using Workers Secrets. Rotate credentials without code changes through environment variable bindings.

Use Cases

Global Chat Applications: Deploy chatbot backends that respond instantly to users worldwide. Edge processing ensures consistent conversation experiences regardless of geographic location.

Content Delivery: Cache AI-generated content at the edge for repeated queries. Serve millions of requests from cache while significantly reducing upstream API costs.

API Aggregation: Create unified API endpoints that intelligently route to multiple LLM providers. Implement failover, load balancing, and cost optimization at the edge.

Privacy Compliance: Route requests through specific geographic regions to comply with data residency requirements. Ensure user data never leaves designated jurisdictions.

Deploy at the Edge Today

Start building your global LLM gateway with Cloudflare Workers. Get started for free with generous limits.

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