Overview
Candle is a minimalist machine learning framework written in Rust, designed for performance and ease of use. It provides GPU support through CUDA and cuDNN, enabling accelerated computations. The framework focuses on simplifying the deployment of machine learning models, particularly large language models (LLMs). Candle's architecture is designed to minimize dependencies and provide a lightweight inference solution. It supports various state-of-the-art models like LLaMA, T5, and Whisper, with examples demonstrating their implementation. Its integration with the Rust ecosystem allows for efficient memory management and low-latency execution, making it suitable for real-time applications and edge deployments. Candle also supports ONNX and WASM, facilitating cross-platform deployment and interoperability. This architecture makes it ideal for applications where speed, efficiency, and control over the runtime environment are critical.