Nvidia’s GB300 FP4 submission still trails Google’s TPUv7 on cost efficiency
Photo: Crypto Briefing
SemiAnalysis says Nvidia's FP4 entry remains 1.64 times worse in performance per dollar than Google's TPUv7 on agentic inference Nvidia has spent years as the undisputed heavyweight of AI hardware. On one closely watched inference benchmark, it is now the one chasing. According to SemiAnalysis, Nvidia’s GB300 FP4 submission remains 1.64 times worse in performance per dollar than Google ’s TPUv7. That gap persisted even after Nvidia provided feedback and put engineering work into improving its results. The SemiAnalysis report, published on October 19, 2026, focused on agentic inference benchmarks used for external customers.
Source: Crypto Briefing
