KLklaussilveira·Dec 23, 2025
If you need WASM, I think Candle is your current best bet: https://github.com/huggingface/candle
In Executorch: On-device AI across mobile, embedded and edge for PyTorchhuggingface
candle
Rust2023–2026
huggingface / candle
candle
Minimalist ML framework for Rust
23Distinct people
25Mentions
0Explicit recommenders
21.3KGitHub stars
What to know before exploring
What it is
Minimalist ML framework for Rust
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
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This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:01:16 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 year25 dated mentions
Observed mentions: 2023-08-06 07:32:13 UTC to 2026-09-17 18:15:27 UTC.
* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.
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 |
|---|---|---|---|---|---|
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 10 | 1 | 9 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 6 | 0 | 6 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 5 | 0 | 5 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 4 | 0 | 4 |
What Hacker News says
5 sourcesGPT-OSS will run even faster on Blackwell chips because of its hardware support for fp4.
If anyone is working on training or inference in Rust, I'm currently working on adding fp8 and fp4 support to cudarc[0] and candle[1]. This is being done so I can support these models in our inference engine for Mixlayer[2].
[0] https://github.com/coreylowman/cudarc/pull/449
[1] https://github.com/huggingface/candle/pull/2989
[2] https://mixlayer.com
In Running GPT-OSS-120B at 500 tokens per second on Nvidia GPUsThis is amazing and there is already a pretty stacked list of Rust GPU projects.
This seems to be at an even lower level of abstraction than burn[0] which is lower than candle[1].
I gueds whats left is to add backend(s) that leverage naga and others to the above projects? Feeks like everyone is building on different bases here, though I know the naga work is relatively new.
[EDIT] Just to note, burn is the one that focuses most on platform support but it looks like the only backend that uses naga is wgpu... So just use wgpu and it's fine?
Yeah basically wgpu/ash (vulkan, metal) or cuda
[EDIT2] Another crate closer to this effort:
https://github.com/tracel-ai/cubecl
[0]: https://github.com/tracel-ai/burn
[1]: https://github.com/huggingface/candle/
In Rust running on every GPUI heard about burn [1] and candle [2] recently and they sounded interesting.
[1] https://crates.io/crates/burn
[2] https://github.com/huggingface/candle
Interestingly, burn supports candle as a backend.
In Show HN: I rewrote my Mac Electron app in RustSurprised this doesn't mention candle: https://github.com/huggingface/candle
In CubeCL: GPU Kernels in Rust for CUDA, ROCm, and WGPU