Build and deploy your first Workers AI application.
Overview
Run machine learning models, powered by serverless GPUs, on Cloudflare's global network.
Workers AI allows you to run machine learning models, on the Cloudflare network, from your own code -- whether that be from Workers, Pages, or anywhere via the Cloudflare API.
With the launch of Workers AI, Cloudflare is rolling out GPUs to its global network. This enables you to build and deploy ambitious AI applications that run near your users, wherever they are.
Models
Workers AI comes with a curated set of popular open-source models that enable you to do tasks such as image classification, text generation, object detection and more.
Observe and control your AI applications with caching, rate limiting, request retries, model fallback, and more.
Build full-stack AI applications with Vectorize, Cloudflare’s vector database. Adding Vectorize enables you to perform tasks such as semantic search, recommendations, anomaly detection or can be used to provide context and memory to an LLM.
Build serverless applications and deploy instantly across the globe for exceptional performance, reliability, and scale.
Create full-stack applications that are instantly deployed to the Cloudflare global network.
Store large amounts of unstructured data without the costly egress bandwidth fees associated with typical cloud storage services.
Create new serverless SQL databases to query from your Workers and Pages projects.
A globally distributed coordination API with strongly consistent storage.
Create a global, low-latency, key-value data storage.
Learn about Free and Paid plans.
Learn about Workers AI limits.
Learn how you can build and deploy ambitious AI applications to Cloudflare's global network.
Learn which storage option is best for your project.
Connect with the Workers community on Discord to ask questions, share what you are building, and discuss the platform with other developers.
Follow @CloudflareDev on Twitter to learn about product announcements, and what is new in Cloudflare Workers.