Why Nvidia Artificially Halves Consumer Tensor Math

GeForce silicon ships with tensor cores capable of double their rated math speeds, intentionally capped by Nvidia to protect professional GPU sales. A community project bypassed the throttle by modifying settings registers at boot rather than overclocking the hardware. This breakdown covers how the register unlock works, the real-world benchmarks across AI training and inference, the persistent bottlenecks like memory bandwidth, and how Nvidia shifts hardware segmentation strategies across generations. Key sources: • Zagitta, v2.0.0, last push 2026-10-29 — https://github.com/Zagitta/gpu-unlock • v0.3.1, last push 2026-11-01 — https://github.com/windows-GPU-UNLOCK/Windows-GPU-UNLOCK • 1,668 stars, last push 2026-11-04 — https://github.com/physicsdolphin/nv-uefi-unlocker Episode 6443 — myweirdprompts.com/n/6443 (permanent short link: myweirdprompts.com/713082) Listen on Android: MWP FM Player — myweirdprompts.com/apk