Sequential (1 GPU)Parallel (16 GPUs)Experiments / hour~10~90Strategygreedy hill-climbingfactorial grids per waveInformation per decision1 experiment10-13 simultaneous experimentsWith 16 GPUs, the parallel agent reached the same best validation loss 9x faster than the simulated sequential baseline (~8 hours vs ~72 hours).Emergent research strategies: exploiting heterogeneous hardware#We used SkyPilot to let our agent access our two H100 and H200 clusters. Of the 16 cluster budget we asked it to stick to, it used 13 H100s (80GB VRAM, ~283ms/step) and 3 H200s (141GB VRAM, ~263ms/step). We didn’t tell the agent about the GPUs’ performance differences. It figured it out on its own.
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