A visualization-first walkthrough of why model loading is dominated by storage I/O, how PPC + MAIO exploit deterministic weight access, and where the compatibility story tightens once framework drift, offloading, and dynamic GPU placement enter the picture.
The slow path is not token generation. It is moving checkpoint bytes from NVMe, through host memory, toward accelerator memory while the kernel page cache behaves like the workload is generic and unpredictable.
PPC inserts a thin routing file system in-kernel and pushes policy logic into userspace. MAIO then replays a profiled I/O template to prefetch aggressively, place pages near the target XPU, and evict with Burn-after-Reading.
Mock data tracks the paper’s reported direction: MAIO wins by turning small, conservative reads into wide, sequential streams and by refusing to keep one-time weight pages resident after startup.
The page cache is programmable, but the workload assumptions are not free. Stable I/O templates, static affinity, and one-shot loading are strong assumptions; this matrix shows where they hold and where friction appears.
Primary source first, then adjacent systems discussed in the episode. Several entries are linked via arXiv search because exact identifiers were not supplied in the prompt.