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title: Open-source tool unlocks Nvidia GeForce GPUs, boosting...
description: This open-source Linux kernel module unlocks the full tensor core speed on GeForce RTX 20/30/40 cards, which NVIDIA caps to half rate for FP16/BF16/TF32 math....
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og:description: This open-source Linux kernel module unlocks the full tensor core speed on GeForce RTX 20/30/40 cards, which NVIDIA caps to half rate for FP16/BF16/TF32 math....
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# Open-source tool unlocks Nvidia GeForce GPUs, boosting AI performance up to 87%

**[Build With GenAI](https://daily.dev/sources/buildwithgenai)** · [@minhchienvu](https://daily.dev/minhchienvu) · 14 upvotes · 2 comments

## Summary

This open-source Linux kernel module unlocks the full tensor core speed on GeForce RTX 20/30/40 cards, which NVIDIA caps to half rate for FP16/BF16/TF32 math. It loads before the stock NVIDIA driver, needs no patched driver or VBIOS flash, and persists across driver updates. Benchmarks show the RTX 4090 doubling peak BF16 throughput from 165 to 329 TFLOPS, with real workloads gaining 25-55% on LLM prefill, 25-50% on fine-tuning, and 30-55% on image generation. Outputs stay bit-identical. Blackwell (RTX 50) is not supported, and gaming or FP32 CUDA workloads see no change.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://github.com/zagitta/gpu-unlock>

## Community discussion

Top comments from developers on daily.dev.

**@onlyread** · 1 upvotes

> Is this mostly a win for fine-tuning, or did you notice faster first tokens on long prompts too?

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---

Tags: [#c](https://daily.dev/tags/c), [#nvidia](https://daily.dev/tags/nvidia), [#gpu](https://daily.dev/tags/gpu)

[View this post on daily.dev](https://daily.dev/posts/open-source-tool-unlocks-nvidia-geforce-gpus-boosting-ai-performance-up-to-87--cynv7clwi)

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