ROrogermeier·May 11, 2026
TileLang https://github.com/tile-ai/tilelang and stuff like Tile Kernels https://github.com/deepseek-ai/TileKernels will make CUDA obsolete one day.
In CUDA-oxide: Nvidia's official Rust to CUDA compilerdeepseek-ai
TileKernels
Python2026–2026
deepseek-ai / TileKernels
TileKernels
A kernel library written in tilelang
3Distinct people
3Mentions
0Explicit recommenders
2.1KGitHub stars
What to know before exploring
What it is
A kernel library written in tilelang
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by day3 dated mentions
Observed mentions: 2026-04-24 05:11:41 UTC to 2026-05-11 19:00:47 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Apr 24 | 2026-04-24 00:00:00 UTC | 2026-04-25 00:00:00 UTC | 1 | 0 | 1 |
| Apr 25 | 2026-04-25 00:00:00 UTC | 2026-04-26 00:00:00 UTC | 0 | 0 | 0 |
| Apr 26 | 2026-04-26 00:00:00 UTC | 2026-04-27 00:00:00 UTC | 0 | 0 | 0 |
| Apr 27 | 2026-04-27 00:00:00 UTC | 2026-04-28 00:00:00 UTC | 1 | 1 | 0 |
| Apr 28 | 2026-04-28 00:00:00 UTC | 2026-04-29 00:00:00 UTC | 0 | 0 | 0 |
| Apr 29 | 2026-04-29 00:00:00 UTC | 2026-04-30 00:00:00 UTC | 0 | 0 | 0 |
| Apr 30 | 2026-04-30 00:00:00 UTC | 2026-05-01 00:00:00 UTC | 0 | 0 | 0 |
| May 1 | 2026-05-01 00:00:00 UTC | 2026-05-02 00:00:00 UTC | 0 | 0 | 0 |
| May 2 | 2026-05-02 00:00:00 UTC | 2026-05-03 00:00:00 UTC | 0 | 0 | 0 |
| May 3 | 2026-05-03 00:00:00 UTC | 2026-05-04 00:00:00 UTC | 0 | 0 | 0 |
| May 4 | 2026-05-04 00:00:00 UTC | 2026-05-05 00:00:00 UTC | 0 | 0 | 0 |
| May 5 | 2026-05-05 00:00:00 UTC | 2026-05-06 00:00:00 UTC | 0 | 0 | 0 |
| May 6 | 2026-05-06 00:00:00 UTC | 2026-05-07 00:00:00 UTC | 0 | 0 | 0 |
| May 7 | 2026-05-07 00:00:00 UTC | 2026-05-08 00:00:00 UTC | 0 | 0 | 0 |
| May 8 | 2026-05-08 00:00:00 UTC | 2026-05-09 00:00:00 UTC | 0 | 0 | 0 |
| May 9 | 2026-05-09 00:00:00 UTC | 2026-05-10 00:00:00 UTC | 0 | 0 | 0 |
| May 10 | 2026-05-10 00:00:00 UTC | 2026-05-11 00:00:00 UTC | 0 | 0 | 0 |
| May 11 | 2026-05-11 00:00:00 UTC | 2026-05-12 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
3 sourcesTile Kernels: An optimized GPU kernels library written in TileLang
2 points · Open discussionPlease don't slander the most open AI company in the world. Even more open than some non-profit labs from universities. DeepSeek is famous for publishing everything. They might take a bit to publish source code but it's almost always there. And their papers are extremely pro-social to help the broader open AI community. This is why they struggle getting funded because investors hate openness. And in China they struggle against the political and hiring power of the big tech companies.
Just this week they published a serious foundational library for LLMs https://github.com/deepseek-ai/TileKernels
Others worth mentioning:
https://github.com/deepseek-ai/DeepGEMM a competitive foundational library
https://github.com/deepseek-ai/Engram
https://github.com/deepseek-ai/DeepSeek-V3
https://github.com/deepseek-ai/DeepSeek-R1
https://github.com/deeps
Read the rest
eek-ai/DeepSeek-OCR-2
They have 33 repos and counting: https://github.com/orgs/deepseek-ai/repositories?type=all
And DeepSeek often has very cool new approaches to AI copied by the rest. Many others copied their tech. And some of those have 10x or 100x the GPU training budget and that's their moat to stay competitive.
The models from Chinese Big Tech and some of the small ones are open weights only. (and allegedly benchmaxxed) (see https://xcancel.com/N8Programs/status/2044408755790508113). Not the same.