FeSens/openTPU
- Total stars
- 199
- Today · UTC
- +156since 16:47 UTC
More actions
An open-source AI accelerator, developed by AI: RTL, ISA, simulator, compiler and profiler in one repo. Runs Qwen3, LFM2.5 and Qwen3.5 on a Kintex-7 PCIe card.
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About the project
An open-source AI accelerator on FPGA: RTL, ISA, simulator, compiler and profiler in one repo, running Qwen3, LFM2.5 and other models on a Kintex-7 card.
Useful for
- Study how an AI accelerator works from Python matmul down to RTL
- Run inference of small LLMs on a Kintex-7 FPGA card
- Compare model performance between the simulator and the real card
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 6, 2026, 23:49 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.
Why it’s trending
- Star-counter measurements on 2026-10-06 (UTC), 16:47–23:38: 43 → 199 stars (+156). This is the change over that interval.
- Over the last two days the pace is 25× that of the previous week and a half.
- The repository is 12 days old and already has 199 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Hacker News: “AI is now capable of developing its own inference hardware” — 208 points, 7 h ago.
- Recent forks include notable developers: @mbrukman (394 followers).
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 199
- Today
- +156 stars measured 2026-10-06, 16:47–23:38 UTC
- Forks
- 8
- Issues and pull requests
- 0
- Watchers
- 0
- Language
- Verilog
- License
- Apache-2.0
- Created
- September 24, 2026
- Last push
- October 2, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Hacker News discussions
- AI is now capable of developing its own inference hardware208 points, October 6, 2026
Spotted in
- October 6, 2026Spotted on Hacker News
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/FeSens/openTPU)