MLIR: How Google's Chris Lattner Tackled Compiler Fragmentation in AI Hardware

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MLIR, which stands for Multi-Level Intermediate Representation, was created by compiler engineer Chris Lattner at Google in 2018 and released publicly in 2019 under the LLVM project. The tool was designed to address a widespread industry problem: each new chip, ML framework, or programming model typically required a separate compiler built from scratch, leading to duplicated effort and siloed tooling. At Google, teams working on TensorFlow faced this directly, maintaining distinct compilers for CPUs, GPUs, mobile devices, and custom TPU chips, with no shared infrastructure between them. MLIR provides a common, flexible framework for representing and transforming code across different hardware targets and abstraction levels, dramatically lowering the cost of building new compilers. By hosting MLIR inside the existing LLVM monorepo, Lattner ensured the project could immediately leverage two decades of battle-tested compiler infrastructure rather than starting from zero.

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