Isn't that how Skynet took over?
Generative AI models might be trained in massive clusters of GPUs, but Cloudflare argues the obvious place to run them isn't just at the edge but in the network itself.a suite of AI services aimed at moving away the complexity of deploying and running large-language models and other machine learning algorithms, while also achieving the lowest possible latency.
"This makes the network the goldilocks of inference. Not too far, with sufficient compute power — just right," the biz writes.The AI suite comprises three core services. The first of these is an extension of its serverless Workers platform to support GPU accelerated workloads. Dubbed Workers AI, the service is designed to streamline the process of deploying pre-trained models.
We're told the platform runs atop Nvidia GPUs, though Cloudflare wouldn't tell us which ones."The technology Cloudflare has built can split an inference task across multiple different GPUs, because we're taking care of the scheduling and the system, and we'll decide what chip or chips make the most sense to deliver that," it toldIn the interest of simplicity, the platform doesn't — at least not initially — support customer-supplied models.
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