#deep-learning #burn-framework #machine-learning #machine-learning-data

deprecated no-std burn-candle

[Deprecated] Candle backend for the Burn framework - use burn-cubecl, burn-ndarray, or burn-tch instead

31 releases

Uses new Rust 2024

new 0.21.0 May 7, 2026
0.21.0-pre.4 Apr 27, 2026
0.21.0-pre.2 Mar 2, 2026
0.20.0-pre.6 Dec 18, 2025
0.10.0 Oct 24, 2023

#8 in #burn-framework

Download history 13268/week @ 2026-01-22 13785/week @ 2026-01-29 12682/week @ 2026-02-05 11337/week @ 2026-02-12 11785/week @ 2026-02-19 12111/week @ 2026-02-26 13533/week @ 2026-03-05 14033/week @ 2026-03-12 13890/week @ 2026-03-19 13585/week @ 2026-03-26 13464/week @ 2026-04-02 11776/week @ 2026-04-09 15671/week @ 2026-04-16 14437/week @ 2026-04-23 17128/week @ 2026-04-30 23178/week @ 2026-05-07

72,525 downloads per month
Used in 254 crates (via burn)

MIT/Apache

1MB
15K SLoC

Burn Candle Backend

Deprecated: This backend is deprecated and will be removed in a future release. Please migrate to one of the actively maintained backends:

  • CubeCL backends (CUDA, ROCm, Vulkan, Metal, WebGPU) for GPU acceleration
  • Flex (burn-flex) for portable pure-Rust CPU execution (std, no_std, WASM)
  • LibTorch (burn-tch) for a mature CPU/GPU backend

Burn Candle Backend

Deprecated: This crate is deprecated as of 0.21.0-pre.2 and will be removed in a future release. Please migrate to one of the actively maintained backends:

  • CubeCL backends (CUDA, ROCm, Vulkan, Metal, WebGPU) for GPU acceleration
  • Flex (burn-flex) for portable pure-Rust CPU execution (std, no_std, WASM)
  • LibTorch (burn-tch) for a mature CPU/GPU backend

This crate provides a backend for Burn based on the Candle framework.

Feature Flags

  • cuda - Cuda GPU device (NVIDIA only)
  • accelerate - Accelerate framework (macOS only)

Dependencies

~14–62MB
~1M SLoC