Single RTX 5090 Replicates 12-GPU Cluster Proof, Using 41% Less Search Work

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A software developer rebuilt a 2023 NeurIPS game-solving algorithm and ran it on a single Nvidia RTX 5090 to benchmark a decade of GPU progress against a 12-card GTX 1080Ti cluster. The experiment used an identical solver, problem, and settings — only the hardware differed — targeting a mathematical proof for a 7x7 Go opening called JA. The single card completed the proof in 41.4 hours versus the cluster's 8.9 hours, but operated with just 1/16 the parallel workers. Despite the slower wall-clock time, the RTX 5090 required 41% less total search work, largely because its co-located trainer updated the neural network guidance roughly every 37 seconds compared to every 2.5 minutes on the cluster. The results suggest that more frequent model updates during online fine-tuning meaningfully reduce search effort, though the author notes worker count and update frequency remain statistically confounded in this single comparison.

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