The Rust+Wasm stack is presented as a compelling alternative to Python for AI inference. It is claimed that Rust+Wasm apps are significantly smaller and faster than Python applications, and they can securely run on various devices with full hardware acceleration. The stack utilizes the WasmEdge runtime, which offers a safe and secure execution environment, and can be seamlessly integrated with container tools. The article provides step-by-step instructions on how to install and use the Rust+Wasm stack for AI inference, including running a demo conversation with the llama2 model. The advantages of Rust+Wasm are highlighted, such as its lightweight nature, speed, portability, and ease of setup and deployment. The article also mentions that Python is not ideal for AI inference due to complex dependencies, large package sizes, and slower performance compared to compiled languages like Rust.
https://www.secondstate.io/articles/fast-llm-inference/