Cloudflare Partners with Hugging Face to Streamline AI App Migration and Launch Workers AI

Cloudflare now allows more developers to migrate their AI applications from the Hugging Face platform. In addition, the company has launched a new serverless GPU-accelerated inference service called Workers AI, which is now available to the public. Seven months ago, Cloudflare reached an integration agreement with Hugging Face, enabling developers to easily deploy models on Workers AI. The deployment process is extremely simple, with developers just needing to click a button to distribute their models globally. Currently, Cloudflare's Workers AI supports fourteen carefully curated Hugging Face models, covering a wide range of areas such as text generation, embedding, and sentence similarity. In a statement, Cloudflare CEO Matthew Prince said, "The recent surge in generative AI has led many companies to invest significant time and money. While some have been successful, the real challenge with AI is that it is easy to demonstrate but difficult to put into production." He further emphasized, "By abstracting away the cost and complexity of building AI-driven applications, we can address this problem." Prince continued, "Workers AI is not only one of the most affordable and accessible solutions for running inference, but also, through the deep collaboration between Hugging Face and Cloudflare, we are empowering developers with the freedom and agility to choose models and scale their AI applications globally in a simple and affordable way." Through the Hugging Face platform, developers can easily select the desired open-source models and choose to "deploy to Cloudflare Workers AI" for instant distribution of the models. This ensures that the models are accurately and simultaneously transmitted to all target locations, avoiding delays or poor experiences. Julien Chaumond, co-founder and CTO of Hugging Face, commented, "Providing the most popular open models to the Hugging Face community, along with serverless APIs and support from a global GPU fleet, is undoubtedly an exciting proposition." As for Workers AI, developers now have access to GPU resources deployed in over 150 cities worldwide, including Cape Town, Durban, Johannesburg, Lagos, Amman, Buenos Aires, Mexico City, Mumbai, New Delhi, and Seoul. Additionally, Cloudflare is continuously improving its AI technology to support fine-tuning of model weights, helping developers create and deploy professional and domain-specific applications.