As noted in NVIDIA's blog post, the focus on platform fungibility and scaling efficiency highlights a critical industry shift: the race is no longer just about raw speed, but about total cost of inference at scale. However, these results, while impressive, are preview submissions from NVIDIA itself on its own software stack, raising questions about generalizability. The AI infrastructure market appears to be entering a phase where architectural lock-in and software optimization velocity may matter as much as silicon specs, potentially consolidating power with full-stack providers.