2026-10-26 · America/Los_Angeles · 社区动态 · #6

GPU unlocks (FP32 accumulation): Why can it be unlocked on Turing (RTX 20), Ampere (RTX 30) and Ada (RTX 40) but no consumer Blackwell (RTX 50) and some misconceptions.

Hello guys, hoping you're doing fine. Wall of text next I know, but I want to get this info out of my chest, all hand written lol. I wanted to make this post explaining some things about GPU unlocks that have been going on lately. What are these GPU unlocks doing? NVIDIA on purpose neuters tensor core performance when using FP32 accumulation (FP16, BF16, FP8 and TF32 inputs accumulating in FP32, which is what most AI/LLM/ML tasks use), for market segmentation. Normal FP32 on the CUDA cores (no tensor cores) is NOT affected. Consumer and prosumer GPUs use the exact same die (like GB202…

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