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A first-person narrative article documenting the journey of scaling a personal GPU cluster from a single RTX 3090 to a 32-GPU setup over two years. It covers the practical decisions, challenges, and lessons learned in building serious personal AI/ML infrastructure. Useful for ML practitioners and hobbyists considering scaling their own compute.