CloudflareAI

Cloudflare + AI is a powerful tool designed to help users efficiently run machine learning tasks on a global scale with low latency and high speed.

This tool lets you run pre-trained machine learning models directly on Cloudflare Workers, making it super convenient for building and deploying advanced AI applications. Since it operates on Cloudflare's extensive global network, you can count on it for both availability and scalability, no matter where your users are located.

Cloudflare + AI comes packed with everything you need for full-stack AI development. It supports serverless AI operations using GPUs and offers a range of popular models to pick from. You can run these AI models through Workers, Pages, or access them via their REST API—making integration into your projects straightforward and flexible.

One of the standout features of this tool is its reliability and scalability. With options like caching, rate limiting, and detailed analytics through the AI Gateway, you can be sure your applications will perform consistently well. Plus, you can utilize Vectorize, which allows you to generate and store embeddings in a distributed vector database. This feature enables you to quickly search through user data and optimize it for machine learning applications.

Ease of use is a priority with Cloudflare + AI. Users can quickly deploy their projects by selecting from a curated catalog of templates that feature off-the-shelf models. This is especially handy for various tasks such as image classification, sentiment analysis, speech recognition, text generation, and translation. Thanks to Workers AI and Vectorize, you can effortlessly run AI inference tasks on Pages or any framework you prefer, all with just a few simple lines of code.

Many renowned AI companies, including Meta, Nvidia, Microsoft, Hugging Face, and Databricks, trust Cloudflare + AI. The tool aims to empower users to create reliable, secure, and budget-friendly AI architectures, helping you avoid those unexpected costs that can pop up when using advanced technology. With R2, it also provides cost-effective storage solutions for training models and handling AI-generated assets, which is essential for building large language models in a multi-cloud environment.