Building LLM Applications with Rust: candle and llm Crates

 Building LLM applications in Rust using candle and llm crates reveals candle as the more viable choice due to its active development and broader hardware support. Candle 0.4.0 with CUDA 12.1 enables GPU acceleration for tensor operations, demonstrated in fintech applications with reduced latency. The llm crate, being archived and limited to GGMLv3 models, lacks support for modern formats like GGUF and newer hardware. For new projects, prioritize candle, leveraging its 2026 release features such as quantization for LLaMA and distributed inference. Explore tools like kalosm and atoma-infer to extend candle’s capabilities in production deployments.

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