RTX 3090 unlock exploit boosts PyTorch FP16 throughput 75→135 TFLOPS at same 360W

lxfater · x · 2026-10-24

A new open-source Linux kernel module, gpu-unlock, exploits a GPU boot-firmware vulnerability to write speed-selector registers before the stock NVIDIA driver loads, unlocking the FP16/BF16 instruction issue rate on RTX 3090 to professional-card levels. Under the same 360W power wall, KBlueleaf measured PyTorch throughput jumping from 75 to 135 TFLOPS (80% gain). The module combines the CMP unlocker's V67/PLM technique with UEFI-style pre-driver timing, avoiding manual repatching on every driver update. A related branch reportedly lifts 4090 instruction throughput from 165 to 331 TFLOPS, nearly doubling it.

Related event: GPU Unlock Cracks NVIDIA's Driver-Level Limiting, Nearly Doubling RTX 3090 AI Throughput(8 posts)→

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