Unclear. GitHub found no license file, so check the README before reusing the code.

Is gpu-unlock still maintained?

Yes, active. Last change 12 days ago. Latest release unraid, 13 days ago.

Can I trust gpu-unlock?

New, little track record. 18k stars, 1 months old. Look at the code and the owner before running it.

Reading the repo

Opening the box…

How to install on Windows

Your GeForce runs AI at half speed. This fixes it for 20/30/40 series cards. Up to 2× FP16 / BF16 / TF32 tensor throughput

Shell scripts

Is it free?: UnclearGitHub found no license file, so check the README before reusing the code.
Still maintained?: Yes, activeLast change 12 days ago. Latest release unraid, 13 days ago.
Can I trust it?: New, little track record18k stars, 1 months old. Look at the code and the owner before running it.

Saved setup from 1 h ago

Will it work on Windows?

Your system

Needs Git: winget install Git.Git

git clone https://github.com/Zagitta/gpu-unlock.git
cd gpu-unlock

Makefile targets need make (e.g. winget install GnuWin32.Make) or WSL.

We couldn't spot a known stack. Start with the README, or ask an AI below to go through it with you.

No reports for Windows yet.

Opens a chat with this manual already filled in, for Windows. It uses your own account; gitmanual sends nothing.

Nothing extra to install.

Add a badge to your README so newcomers find these steps.

[![Setup manual](https://gitmanual.com/Zagitta/gpu-unlock/badge.svg)](https://gitmanual.com/Zagitta/gpu-unlock)

The README mentions NVIDIA CUDA. Check its hardware section: some features (or all of them) may need an NVIDIA GPU.
Makefile has a make install target — it may automate most of these steps.
Has AGENTS.md — instructions for coding agents. You can open Claude Code (or another agent) in the cloned folder and ask it to do the setup for you.

.github/workflows/ci.yml

.github/workflows/unraid.yml

Makefile

README.md

76 files in the repo