For years, the way large language models handle inference has been stuck inside a box — literally. The high-bandwidth RDMA networks that make modern LLM serving work have confined both prefill and decode to the same datacenter, sometimes even the same rack. A team of researchers at Moonshot AI and Tsinghua University is making the […]
The post Moonshot AI and Tsinghua Researchers Propose PrfaaS: A Cross-Datacenter KVCache Architecture that Rethinks How LLMs are Served at Scale appeared first on MarkTechPost.
![Runtime security for AI agents: risk scoring, policy enforcement, and rollback for production agent pipeline [P]](/_next/image?url=https%3A%2F%2Fpreview.redd.it%2Fjaatbenjg9wg1.jpg%3Fwidth%3D140%26height%3D80%26auto%3Dwebp%26s%3D43ed5a4d6806da42e7feccd461f2fe78add2eae0&w=3840&q=75)



