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Multi-agent model council for GPU kernel profiling and performance optimization
byMia
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Description
A multi-agent "council" setup that uses distinct AI models to perform technical profiling and peer-review of GPU inference kernels on GB10 hardware. The system identified load-bearing errors in human-provided roofline models, pinpointed host-sync overheads in Zig-based engine code, and validated offline testability for lag-1 routing predictions.
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