Zagitta/gpu-unlock
Your GeForce runs AI at half speed. This fixes it for 20/30/40 series cards. Up to 2× FP16 / BF16 / TF32 tensor throughput
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README & documentation
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Up to 2× FP16 / BF16 / TF32 tensor throughput · +25–55% LLM prefill · +25–50% fine-tuning · +30–55% image generation Supported GPUs · Benchmarks · Install · FAQ · Support NVIDIA ships GeForce cards with their tensor cores capped to half speed for FP16, BF16 and TF32 math with FP32 accumulation, which is what nearly all AI training and unquantized inference uses. The same silicon sold as an RTX A-series or professional card runs at full rate. gpuunlock removes that cap at boot, before the stock NVIDIA driver loads. No patched driver, no VBIOS flash, nothing to redo when NVIDIA releases a new driver. Laptops only stay unlocked if the dedicated GPU is never fully powered off. Many laptops power it down when idle, which silently resets the unlock. Turning off runtime power management with options nvidia NVregDynamicPowerManagement=0x00 in /etc/modprobe.d/ helps on some models, but expect mixed results. The…
Read the full README ↗ · Preview checked 2026-10-28T21:42:40.984Z
Inside the original README — Document outline
- Your GeForce runs AI at half speed. This fixes it.
- Supported GPUs
- What you get
- How to install
- FAQ
- Local build
- How it works
- Boot flow and opt-in
- Support me
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What this repository does
Your GeForce runs AI at half speed. This fixes it for 20/30/40 series cards. Up to 2× FP16 / BF16 / TF32 tensor throughput
Repository facts
- Owner
- Zagitta
- Primary language
- C
- Stars
- 14,293
- Forks
- 1,390
- Open issues + pull requests
- 111
- License
- Not reported — inspect the license file
- Archived
- No
- Default branch
- main
- Created
- 2026-10-18T01:28:31.000Z
- Last push
- 2026-10-29T02:30:54.000Z
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