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KDA is an agent-driven kernel design framework that helped HAN Lab achieve top rankings in the MLSys FlashInfer Kernel Contest by minimizing human involvement. The agent leverages Humanize, KernelWiki, and profiler skills to produce state-of-the-art kernels.
This opinion piece argues that AI kernel portability across different hardware (TPU, GPU, etc.) is structurally impossible due to fundamental hardware differences, and that the best AI stacks will always require hardware-specific DSLs for optimal performance, despite the industry's desire for portability.