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divagr18/gpu-instance-fingerprint

Fingerprint the exact GPU you're running on, even among identical GPUs, from the order its atomic adds land in. 99.1% accuracy, survives reboots, can't be faked, and a default torch.index_add_ call leaks it.

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Python
29
5
1 contributors
MIT License
website
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Momentum

How fast divagr18/gpu-instance-fingerprint is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 29 – Nov 5, 2026

Stars +29 in 8 days

01020
18

Forks +5 in 8 days

012
2

Merged PRs 0 in 8 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 29Oct 30Oct 31Nov 1Nov 2Nov 3Nov 4Nov 5
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Thu, Oct 29, 2026+0+00
Fri, Oct 30, 2026+1+00
Sat, Oct 31, 2026+6+20
Sun, Nov 1, 2026+18+20
Mon, Nov 2, 2026+3+10
Tue, Nov 3, 2026+1+00
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+0+00
Total+29+50
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 301 post

    • 3/4 I used a few values per bin on wildly different magnitudes, so the addition order changes the final result via floating-point rounding. Tested on A40s, 3090s, 4090s & more. Afaik, might be the…

      Read full on X, posted by @divagr1925

      @divagr1925 · x.com

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