Burn
Burn is a community-driven deep learning framework for Rust that aims to provide a high-level abstraction experience similar to PyTorch. It supports multiple backends including CUDA and WebGPU and is designed for both training and inference use cases.
Timeline (last 90 days)
The author documented five defects in Candle and three defects in Burn, exposed as issues when used as training backends.
Burn's backward pass performance is only about 3% of theoretical GPU throughput.
Burn's kernel fusion path segfaults mid-training at the scale of billions of parameters.
Burn is a community-driven project that provides PyTorch-like high-level abstractions and supports multiple backends including CUDA and WebGPU.
The tokenizers library and candle inference framework launched by Hugging Face are both written in Rust, and Burn is a deep learning framework built entirely in Rust.
All Facts (5)
The tokenizers library and candle inference framework launched by Hugging Face are both written in Rust, and Burn is a deep learning framework built entirely in Rust.
70%UnverifiedThe author documented five defects in Candle and three defects in Burn, exposed as issues when used as training backends.
50%UnverifiedBurn's backward pass performance is only about 3% of theoretical GPU throughput.
50%UnverifiedBurn's kernel fusion path segfaults mid-training at the scale of billions of parameters.
50%UnverifiedBurn is a community-driven project that provides PyTorch-like high-level abstractions and supports multiple backends including CUDA and WebGPU.
50%