Reducing LLM latency is one of the most critical challenges for engineers building responsive AI applications. While Large Language Models (LLMs) keep growing in capability, their token-by-token generation can create frustrating bottlenecks for end users, and long wait times lead directly to lower engagement and...
Cloudflare Workers
Guides, tutorials, and examples for Cloudflare Workers, the serverless platform for deploying fast, scalable, and secure applications at the edge.
Building low-latency audio pipelines with the OpenAI Realtime API lets developers launch human-like conversational voice agents in production. Traditionally, building a voice interface meant chaining three separate model layers: automatic speech recognition (ASR), a text-based LLM logic layer, and text-to-speech (TTS)...
Building a Cloudflare Workers AI agent is the next step in moving from simple AI prompts to autonomous workflows. These systems, known as AI agents, use Large Language Models (LLMs) to call external tools, make decisions, and execute tasks on their own. While running agents traditionally required heavy servers, this...
This Cloudflare Workers AI tutorial shows you how to deploy and run machine learning models directly on Cloudflare’s global edge network. With Cloudflare Workers AI , you can execute Large Language Models (LLMs), text translation, image generation, and audio transcription close to your users without managing complex...
Cloudflare Workers and AWS Lambda are both serverless compute platforms, but they come from different starting points. Lambda is the established serverless standard inside the vast AWS ecosystem; Workers is edge-native, built for low latency and global distribution. In 2026, both are excellent, and the right choice...
Cloudflare Workers let you run backend code at the edge, close to your users, without managing servers. For APIs, that combination of near-zero cold starts, global distribution, and tightly integrated storage makes Workers a compelling platform in 2026. This guide explains how a Cloudflare Workers API is structured and...
If Cloudflare Images is where your images live, Cloudflare Image Transformations is the engine that makes them fast. It resizes, compresses and converts your images to modern formats at the moment they are requested, using only the original you already have. No build step, no pre-generated thumbnails, no separate...
For most of the last decade, running an AI model meant renting a GPU server, managing drivers, and paying for that hardware whether requests came in or not. Cloudflare Workers AI changes the model entirely: you call an AI model the same way you call any other function in a Worker, it runs on GPUs distributed across...
For years the answer to “where do I deploy this on Cloudflare” was simple: static sites and frontends went on Pages, and serverless logic went on Workers. In 2026 that line has blurred, because Workers can now serve static assets directly, which means a single Worker can host your whole site, frontend and backend...
Serverless compute solved the “no servers to manage” problem for application code, but databases were the awkward holdout. You could run a Worker on the edge in milliseconds, then watch it wait on a database sitting in a single far-away region. Cloudflare D1 closes that gap: it is a real SQL database, built on SQLite,...