JustAResearcher/gpu-unlock-ada

GPU tensor unlock source for RTX 4090 and experimental RTX 4070 Ti SUPER; firmware generated locally

Open original source ↗

From the publisher

README & documentation

Source preview

Read the project’s overview, installation instructions and usage examples. The original README is the source of truth.

New to this project? Start with the copy-paste Quick Start. This Linux kernel module enables the SM speed-select override before the stock NVIDIA driver starts. RTX 4090 (10de:2684, AD102) support has demonstrated approximately 2× FP16 and BF16 tensor throughput with FP32 accumulation: The override survived PCIe Function Level Reset (FLR), stock NVIDIA 615.78.08 initialization and CUDA benchmarks. INT8, dp4a and scalar FP32 stayed near their baseline rates. The original transaction preceded the repository cleanup; see the technical report and original evidence. An independent owner run of revision 8855e7b also completed the RTX 4090 transaction and NVIDIA driver handoff on Linux 7.2.11-arch1-1. Matched stock/unlocked measurements with NVIDIA 615.78.08 and the same 450 W cap found FP16/FP32 instruction throughput 160.4 → 320.4 TF/s and BF16/FP32 159.7 → 320.2 TF/s. All exercised numerical checks passed. Real cuBLAS GEMM median throughput varied by shape: FP16 gained 12–34%, BF16 gained 16–20% at two shapes and…

JustAResearcher/gpu-unlock-ada on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-30T22:37:05.721Z

Inside the original README — Document outline
  1. GPU unlock 1.1.1 — RTX 4090 and experimental Ada GPUs
  2. Experimental Windows contribution — Latence.app
  3. Supported targets
  4. Experimental Ada targets
  5. Build and install
  6. Enable at boot
  7. Check and disable
  8. Development and credits

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the README

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: GPL-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

GPU tensor unlock source for RTX 4090 and experimental RTX 4070 Ti SUPER; firmware generated locally

Repository facts

Owner
JustAResearcher
Primary language
C
Stars
4,642
Forks
593
Open issues + pull requests
67
License
GPL-2.0
Archived
No
Default branch
main
Created
2026-10-23T21:00:53.000Z
Last push
2026-10-26T04:24:46.000Z

Topics and intended use

No topics were included in the latest source metadata.

Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.

Evaluate before installing

Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.

README and project files

Issues and maintenance discussion

Releases and changelog

Source and freshness

Source: GitHub. Metadata observed 2026-11-01T12:18:40.947Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related repositories

torvalds/linux

Genymobile/scrcpy

microsoft/PowerToys

colbymchenry/codegraph

git/git

DeusData/codebase-memory-mcp