Candle
A Rust machine-learning framework with tensor operations, model implementations and CPU, CUDA and WebAssembly backends.
About Candle
Rust applications need model inference and tensor operations that can be embedded in the application.
Who it’s for
- Rust developers embedding machine-learning models
- Engineers building local or browser-based inference
When to consider it
Consider Candle when you want to implement model inference in Rust and choose a backend for your deployment target.
Tradeoffs & limitations
- The repository provides MIT and Apache-2.0 licences. CUDA support requires a working CUDA installation and enabling the cuda feature when building.
SOTA overview · Documentation-based assessment · Sources & review method
Updates
No updates shared yet.
Discussion
Newest firstAsk a question or share how you use Candle.
Keep it helpful. Community rules
Loading discussion…
Sources & review method
Documentation-based assessment · Oct 30, 2026 · Prepared with AI assistance; not a hands-on benchmark.
- Official framework overview, backends and model implementations
- Installation and CUDA build requirements
- MIT licence
- Apache-2.0 licence
- Maintainer organization and owner domain
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
Candle official repository
A Rust machine-learning framework with tensor operations, model implementations and CPU, CUDA and WebAssembly backends.
Based on official pages and announcements checked on 2026-10-30. No hands-on test, performance benchmark or popularity ranking is claimed.