Source: The Pragmatic Engineer
Canonical and the Linux ecosystem are redesigning core OS infrastructure—kernel scheduling, memory management, memory optimization—to accommodate AI workloads that operate at different scales and latencies than traditional software. This is not cosmetic layering; it is a reset of OS primitives built on CPU-era assumptions. Distributions that anticipate AI's actual resource demands rather than retrofit them will have an advantage. Whoever gets OS-level AI optimization right first captures preference among enterprises and developers deploying models at scale, potentially shifting Linux's fragmented market toward whichever fork (Ubuntu, Red Hat, or others) moves fastest.