KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

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Introduced KernelEvolve, an agentic kernel authoring system used by Meta's Ranking Engineer Agent to optimize low-level infrastructure for AI models. KernelEvolve treats kernel optimization as a search problem, autonomously generating and optimizing production-grade kernels for heterogeneous hardware (NVIDIA GPUs, AMD GPUs, MTIA silicon, CPUs). It achieves faster development cycles (weeks to hours) and significant performance improvements (over 60% inference throughput on NVIDIA GPUs, over 25% training throughput on MTIA chips) by exploring hundreds of alternative kernel implementations.