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Emma-Leonhart·with Emma Leonhart·

Conventional operating systems treat the CPU as the brain and the GPU as an accelerator, and treat AI as something bolted on through serialization layers (text, JSON, tool-call schemas). For workloads where both **predictable latency under load** and **first-class local AI** matter — defense, aerospace, industrial control, medical devices, autonomous systems — neither inversion is paid for, but both costs are felt: GPU-resident models thrash against CPU-resident schedulers, and every round trip through the OS/AI boundary costs an embed/decode pair that drops information and adds jitter.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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