Cloudflare Partners with NVIDIA to Bring AI to Its Global Edge Network
Cloudflare, Inc., the security, performance, and reliability company that helps build a better Internet, today announced its partnership with NVIDIA to bring AI to scale to bring to the top.
Today, applications use AI for a variety of tasks, from translating text on websites to recognizing objects in images, making machine learning models an important part of application development. Users expect this functionality to be fast and reliable, while developers want to keep their own machine learning models reliable and secure. Cloudflare provides a seamless solution to their security, performance, and reliability needs, while NVIDIA developers provide a wide range of AI-powered application frameworks, including Jarvis for natural language processing, Clara for healthcare and life sciences, and Morpheus for cybersecurity.
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The combination of NVIDIA’s accelerated computing technology and Cloudflare’s edge network creates a massive platform on which developers can install applications that use pre-trained or custom machine learning models in seconds. Developers can use the TensorFlow platform to use familiar tools to build and test machine learning models and then deploy them globally to Cloudflare’s edge network.
” Cloudflare Workers is one of the fastest and most widely adopted edge computing products where security is in its DNA,” said Matthew Prince, Co-Founder & CEO of Cloudflare. ” Now, in partnership with NVIDIA, we’re providing developers with powerful artificial intelligence tools to build the applications that will power the future.”
Machine learning models have traditionally been run on expensive, centralized servers or via cloud services that have restricted them to “regions” around the world. Together, Cloudflare and NVIDIA ensure that machine learning can be used by the global online population in milliseconds, making high-performance, low-latency AI accessible to everyone. And since the machine learning models themselves remain in Cloudflare’s data centers, developers can deploy custom models without the risk of placing them on end-user devices where they could be stolen.
” As organizations become more and more data-driven, the demand for AI technology increases,” said Kevin Deierling, NVIDIA senior vice president of networking. ” NVIDIA provides developers with AI frameworks that support applications from robotics and healthcare to smart cities and now also cybersecurity with the recently introduced Morpheus.”
Internally, Cloudflare uses machine learning for various needs like business intelligence, bot detection, anomaly identification and more. Cloudflare leverages NVIDIA’s accelerated computing technology to accelerate training and inference tasks, and will bring the same technology to every developer using Cloudflare Workers.
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