The inference economy requires a different chip for every workload, and Nvidia is positioning to be the company that integrates all three. The Groq licensing deal, NVLink interconnect neutrality, and Grace/Vera CPU positioning are three facets of the same play: owning the integration layer for heterogeneous AI compute the way ARM captures licensing rent regardless of who fabs the core. The pressure this creates is asymmetric: vertically integrated players like Google TPU are insulated because they consume their own silicon, but pure-play inference startups now compete against Nvidia's ecosystem bundled with Groq's speed. Cerebras had a clean pitch when the comparison was 'faster than GPUs at inference'; competing against GPU+LPU+NVLink while lacking a training story is a harder sell. The value is migrating up the stack, toward chip-agnostic inference routing, a middleware layer that barely exists yet but that every multi-chip architecture makes more necessary.