The Linux kernel still treats GPUs as peripherals — and the rewrite of the operating system for AI servers
The Linux kernel has all the tools needed to manage CPU, RAM, disk, and network resources—but it manages almost nothing related to the GPU, which is the most expensive component in an AI server. Filling that gap are: cgroup dmem, sched_ext, DRA, GPU checkpoints, CXL tiering, microVMs for agents,…