INTELLIGENT BRANDS // Enterprise Security
Cloudflare offers AI developers one click integration from Workers AI , Hugging Face
Cloudflare announced that developers can now deploy AI applications on Cloudflare ’ s global network in one simple click directly from Hugging Face , the open and collaborative platform for AI builders . With Workers AI now generally available , Cloudflare is the first serverless inference partner integrated on the Hugging Face Hub for deploying models , enabling developers to deploy AI globally quickly , easily , and affordably , without managing infrastructure or paying for unused compute capacity .
Matthew Prince , CEO and Co-founder , Cloudflare
Despite significant strides in AI innovation , there is still a disconnect between its potential and the value it brings businesses . Organisations and their developers need to be able to experiment and iterate quickly and affordably , without having to set up , manage , or maintain GPUs or infrastructure .
Businesses need a straightforward platform that unlocks speed , security , performance , observability , and compliance to bring innovative , production-ready applications to their customers faster .
“ The recent generative AI boom has companies across industries investing massive amounts of time and money into AI . Some of it will work , but the real challenge of AI is that the demo is easy , but putting it into production is incredibly hard ,” said Matthew Prince , CEO and co-founder , Cloudflare .
“ We can solve this by abstracting away the cost and complexity of building AI-powered applications . Workers AI is one of the most affordable and accessible solutions to run inference . And with Hugging Face and Cloudflare both deeply aligned in our efforts to democratise AI in a simple , affordable way , we are giving developers the freedom and agility to choose a model and scale their AI applications from zero to global in an instant .”
Today , Workers AI is generally available , providing the end-to-end infrastructure needed to scale and deploy AI models efficiently and affordably for the next era of AI applications .
Cloudflare now has GPUs deployed across more than 150 cities globally , most recently launching in Cape Town , Durban , Johannesburg , and Lagos for the first locations in Africa , as well as Amman , Buenos Aires , Mexico City , Mumbai , New Delhi , and Seoul , to provide low-latency inference around the world .
Workers AI is also expanding to support finetuned model weights , enabling organisations to build and deploy more specialised , domain-specific applications .
In addition to Workers AI , Cloudflare ’ s AI Gateway offers a control plane for your
AI applications , allowing developers to dynamically evaluate and route requests to different models and providers , eventually enabling developers to use data to create fine tunes and run the fine-tuned jobs directly on the Workers AI platform .
With Workers AI generally available , developers can now deploy AI models in one click directly from Hugging Face , for the fastest way to access a variety of models and run inference requests on Cloudflare ’ s global network of GPUs .
Developers can choose one of the popular open source models and then simply click – Deploy to Cloudflare Workers AI . to deploy a model instantly .
There are 14 curated Hugging Face models now optimised for Cloudflare ’ s global serverless inference platform , supporting three different task categories including text generation , embeddings , and sentence similarity . p
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