Open-source tool nv-uefi-unlocker boosts RTX GPU tensor speed via USB on Windows
A new open-source project called nv-uefi-unlocker lets owners of Nvidia RTX 20, 30, and 40-series GPUs remove a built-in tensor-performance limiter by booting from a USB stick, with no VBIOS flashing or driver patching required. The tool runs before Nvidia's driver loads, rebuilding firmware locally from Nvidia's public driver files, and the developer reported a 65% jump in FP16 performance on a laptop RTX 4060.
GoKawiil's interpretation of the reporting above, not reported fact.
By packaging a previously Linux-centric, manually-applied hack into a simple bootable USB tool with verification steps, the project could make this unofficial performance unlock accessible to far more Windows users who previously found it too technical or risky to attempt. This kind of workaround highlights how quickly community developers can route around vendor-imposed software limits on hardware capability, though it raises questions about warranty, stability and whether Nvidia might respond with future firmware changes.
- nv-uefi-unlocker removes Nvidia's tensor-speed limiter via USB boot, no VBIOS flash or driver patch needed
- Developer reported a 65% FP16 performance increase on a laptop RTX 4060
- Project builds on prior community tools and rebuilds firmware locally from Nvidia's public driver packages
SanDisk Ultra USB 3.0 Flash Drive — If you want to try this UEFI unlocker tool yourself, you'll need a reliable FAT32-formatted USB drive to boot from. A fast, sturdy flash drive like this makes creating bootable utility sticks quick and hassle-free, which is exactly what this tensor-unlock trick requires.
See SanDisk Ultra USB 3.0 Flash Drive on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: tomshardware.com — Shane Downing, 2026-11-01
Published there as: “Open-source USB tool unlocks Nvidia's half-speed GPU AI limiter on Windows”
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