2026-10-11 16:37 UTC

apple-silicon-inference

band: coolmomentum: stable score: 0.218
temperature history

Episodes (4)

Independent reproduction will determine whether Cua’s GPU-passthrough approach gives Apple Silicon macOS virtual machines an 11–16× llama.cpp speedup and practically near-native local LLM inference.
expiredconvergesscott: low
Independent benchmarks and mainstream backend integrations will determine whether M5-specific W8A8 kernels reproducibly improve LLM prefill throughput by roughly 1.4x without material accuracy loss.
expiredknownscott: low
Redditor ResearchCrafty1804 claims the released Inco Splash engine runs Qwen3.8-27B at 144 tokens per second on an M5 Max and delivers up to threefold Ollama decode speed, potentially making local coding-agent inference substantially more responsive on supported Macs.
corroboratedconvergesscott: medium
MLX FP8/int8 weight-staging becomes a standard prefill optimization for local LLM inference on Apple Silicon M5/M6, delivering measured +40% prefill speedup with <1% perplexity loss.
seedconvergesscott: high

Trajectory notes