LinkedIn Just Quietly Solved Open-Source ML Infra's Real Bottleneck - And Almost Nobody Noticed

LinkedIn's Liger Kernel team developed agents that write GPU kernels for Triton with minimal human input, achieving significant speedups and memory reductions. This approach uses structured workflows where agents produce profiles capturing architectural decisions, allowing humans to review and verify them before deterministic code generation. This design pattern addresses the bottleneck of expert time in implementing optimizations for open-source ML infrastructure, enabling faster development and scaling of such projects.

Read the full article at Towards AI - Medium

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