Cloudflare + AI represents a cutting-edge tool that enables users to execute fast, low-latency inference tasks using pre-trained machine learning models directly on Cloudflare Workers.
By leveraging Cloudflare’s global network, renowned for its global availability and scalability, users gain the capability to develop and deploy sophisticated AI applications seamlessly.
This tool encompasses a comprehensive suite of AI building blocks, including serverless AI on GPUs, a diverse selection of popular models, and the flexibility to execute AI models from various sources such as Workers, Pages, or any location via their REST API.
Moreover, Cloudflare + AI prioritizes reliability and scalability, offering features such as caching, rate limiting, and analytics through their AI Gateway.
It also facilitates efficient search functionality by generating and storing embeddings in a globally distributed vector database with Vectorize, thereby enabling swift retrieval of user data for repeated use with machine learning models.
Ease of use and rapid deployment are central to Cloudflare + AI, with users benefiting from the option to select templates from a curated catalog of off-the-shelf models. Tasks spanning image classification, sentiment analysis, speech recognition, text generation, and translation are supported.
Through the integration of Workers AI and Vectorize, users can seamlessly execute AI inference tasks on Pages, preferred frameworks, or any stack via an API, requiring just a few lines of code.
Trusted by leading AI companies such as Meta, Nvidia, Microsoft, Hugging Face, and Databricks, Cloudflare + AI aims to assist users in building robust, secure, and cost-effective AI architectures while mitigating unexpected expenses.
Furthermore, the tool offers cost-effective storage solutions for training models and AI-generated assets with R2, enabling the development of affordable multi-cloud architectures for training large language models.
