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Open-source USB tool unlocks Nvidia’s AI limiter on Windows GPUs

A new open-source UEFI tool lets Windows users unlock Nvidia’s AI performance limiter on RTX 20, 30, and 40-series GPUs via a USB drive. The project, called nv-uefi-unlocker, removes Nvidia’s tensor speed restriction by modifying firmware settings before the GPU driver loads. A developer reported a 65% increase in FP16 math performance on an RTX 4060 laptop, though results vary by card and…

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Key points

  • USB-based UEFI tool unlocks Nvidia’s AI limiter on RTX 20/30/40 GPUs without BIOS flashing or driver patches
  • Developer reports **65% FP16 math boost** on an RTX 4060, but results vary by card and workload
  • Requires disabling Secure Boot and rebooting daily; unsupported on RTX 50-series and pre-Turing cards

The unlocker works on desktops and laptops but requires Secure Boot to be disabled or set to trust a self-signed EFI. Some caveats remain: the change resets on reboot, power limits may still restrict performance, and RTX 50-series cards are unsupported for now. The project credits community work like Zagitta’s gpu-unlock and gpu-unlock-ada but notes Windows support is experimental. Developers warn against combining it with power-limit tools like nvoc, as it could exceed thermal or power limits. The tool’s safety relies on manual verification of Nvidia’s driver packages before rebuilding firmware files locally.

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  1. Open-source USB tool unlocks Nvidia’s AI limiter on Windows GPUsthis story
Full story from Tom's Hardware · by Shane DowningOpen source ↗

Open-source USB tool unlocks Nvidia's half-speed GPU AI limiter on Windows — lifts GPU's FP16 math performance up to 65%, UEFI unlocker covers RTX 20, 30, and 40-series desktops and laptops

Tom's Hardware · 1 November 2026

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This text was published by Tom's Hardware and written by Shane Downing. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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