Vera Rubin NVL72 hits 67x TCO gain

Raw compute FLOPs are obsolete; the AI infrastructure race is now entirely governed by agentic inference unit economics per megawatt. The 67x throughput per TCO gain shifts the primary metric of AI datacenters from raw GPU count to sustained token velocity across long-horizon reasoning traces. Traditional benchmarks masked systemic memory and KV-cache bottlenecks that real-world agentic workflows aggressively expose, where Rubin's architectural integration shines. Hyperscalers and neo-clouds deploying Blackwell clusters face rapid economic obsolescence if Rubin delivers this magnitude of operational cost reduction. Full-stack co-design across silicon, switches, and rack networking cements NVIDIA's competitive moat against merchant ASICs and disaggregated accelerators.