Back to home

M5 Ultra

7 articles tagged with this topic

AppleNVIDIA

M5 Ultra vs DGX Spark: Running LLMs Locally Is Now a Real Buying Decision

A developer with a 40–50K budget compares Apple M5 Ultra 256GB vs two NVIDIA DGX Sparks — local AI's shift from hobbyist toy to serious procurement.

Oct 112 min read
AppleM5 Ultra

M5 Ultra Mac Studio Hits 3191 tok/s on an 8B Model — But Local AI Still Has Gaps

Reddit user hits 3191 tok/s on 8B model with M5 Ultra Mac Studio — 2.2x llama.cpp. But 107GB downloads and ¥40K hardware keep local LLMs out of reach.

Oct 62 min read
AppleM5 Ultra

M5 Ultra Cuts GLM-flash Inference 20% via One Parameter — Local AI Arrives

A Reddit post: M5 Ultra running GLM-flash locally cut 130k-token inference 20% (220s→185s) via prefill tuning. Local LLMs crossed a quiet threshold.

Sep 252 min read
ZhipuGLM-5.3-Flash

256GB Memory Finally Enough for Local AI—But M5 Ultra Hits GPU Bottleneck

Reddit M5 Ultra user tested Zhipu's GLM-5.3-Flash: 256GB RAM handles local AI, but GPU is now the bottleneck—the memory wall is breaking.

Sep 252 min read
AppleMac Studio

$7K Mac Studio Hits 1,700 Agent Schedules — Local LLMs Finally Do Real Work

Reddit dev runs Qwen 3 on M5 Ultra Mac Studio (96GB), hits 1,700 sub-agent schedules and 89% cache hit on 112M-token dev task — first engineering-grad

Sep 232 min read
AppleMac Studio

Mac Studio Packs 512GB RAM — Apple Takes Direct Aim at Cloud GPUs

Apple's new Mac Studio hits 512GB unified memory, finally making local 70B LLMs viable. Cloud GPU rental's monopoly cracks—but pricing locks out regul

Aug 252 min read
AppleM5 Ultra

Apple's M5 Ultra Hits 1.2TB/s Bandwidth — Local LLMs Cross the Practical Threshold

Apple's M5 Ultra hits 1.2TB/s memory bandwidth—the first chip making local LLM inference practical, reshaping how knowledge workers handle sensitive d

Aug 252 min read