Pattern: Multi-GPU Local Inference Goes Mainstream — Three Converging Signals This Week

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Three simultaneous developments signal multi-GPU local inference becoming the default serious builder configuration: llama.cpp's backend-agnostic tensor parallelism merge (PR #19378) makes multi-GPU work without CUDA for the first time, Blackwell GPUs deliver 198 tok/s on 122B models, and r/LocalLLaMA community discussions now default to multi-GPU configurations rather than single-GPU optimization. The single-GPU era for frontier-class local inference is ending — builders should plan for 2+ GPU setups.