LLM infrastructure cost reduction via NUMA-aware weight banking: 147 t/s (8.8x stock llama.cpp) on refurbished enterprise POWER8. Self-hosted inference, no cloud APIs. Part of the Proof of Physical AI stack.
self-hosted transformer numa powerpc energy-efficiency ppc64le cost-optimization power8 inference-optimization edge-ai hebbian depin ai-inference llm llmops llama-cpp llm-inference ai-infrastructure proof-of-physical-ai vec-perm
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Updated
Aug 20, 2026 - Python