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Description
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Use Case
Description
Cloudflare Workers allows developers to deploy serverless applications in JavaScript, TypeScript, Rust, or WASM directly on a global edge network. With Workers AI, you can run LLMs, embeddings, and vision models at the edge, eliminating the need for GPU hosting. Key features include KV/D1 storage, Durable Objects for stateful apps, smart caching, and global HTTPS endpoints. Developers can integrate with GitHub CI/CD, headless CMS, databases, and automation platforms to build scalable, AI-powered APIs, web apps, or real-time systems with minimal infrastructure overhead.
Key Features:
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Serverless execution on Cloudflare’s global edge network
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Workers AI: run LLMs, embeddings, vision, and speech models at the edge
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KV/D1 database and Durable Objects for stateful applications
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Smart caching, routing, and instant HTTPS endpoints
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CLI (Wrangler) & dashboard deployment with GitHub CI/CD
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Integrations with CMS, databases, automation tools, and storage (R2, Queues)
Industries:
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Web & App Developers
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AI Startups & SaaS
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Real-time applications (chat, gaming, IoT)
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Enterprises needing edge computing and AI inference
Use Case
Developers use Cloudflare Workers and Workers AI to deploy serverless apps and AI-powered services globally. For example, a startup builds a real-time multiplayer game, deploys backend logic at edge nodes in the UAE, integrates LLM-based chatbots via Workers AI, and stores state using Durable Objects. Teams connect GitHub CI/CD for auto-deployments and leverage KV/D1 for fast storage. Enterprises benefit from ultra-low latency, auto-scaling, and custom security features.