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Burn CUDA backend - High-performance NVIDIA GPU acceleration. Provides optimal performance for NVIDIA hardware.
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| name | burn-cuda |
| description | Burn CUDA backend - High-performance NVIDIA GPU acceleration. Provides optimal performance for NVIDIA hardware. |
burn-cuda provides NVIDIA GPU acceleration using CUDA. It's optimized for NVIDIA GPUs and provides the best performance for NVIDIA hardware.
use burn::tensor::Tensor;
use burn_cuda::CudaDevice;
// Create CUDA device
let device = CudaDevice::default();
// Create tensor on GPU
let tensor = Tensor::from_data(&[1.0, 2.0, 3.0], &device);
// CUDA-accelerated operations
let result = tensor.matmul(other_tensor);
use burn_cuda::CudaBackend;
type Backend = CudaBackend;
let model: Model<Backend> = Model::default();
[model_exports]
default_backend = "cuda"
default_device = "Gpu"
[cuda]
burn: Core frameworkburn-metal: Apple GPU alternative for macOS/iOSConvert Markdown with LaTeX math, images, and tables into a polished PDF. Two rendering engines: (1) weasyprint — pure Python, no browser needed; (2) chromium — best for matrices/bmatrix/pmatrix/vmatrix and complex formulas. Supports Chinese/Japanese fonts. Can chain after ocr-md-polish for a complete OCR→clean→PDF workflow.
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Provides guidance on using Burn deep learning framework for Rust projects. Invoke when working with tensor operations, model inference, or ONNX model integration in Rust.