The MLIR framework provides a reusable dialect system that bridges high-level AI graphs and low-level hardware instructions. It eliminates the need for redundant compiler passes across different chips. Developers use these modular dialects to optimize LLM inference and training performance. This infrastructure prevents fragmented toolchains in a diversifying hardware market.