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A 10-year-old in China uses a Mac Studio to run multiple AI agents, highlighting the emergence of AI-native children who understand tokens and automation.
A comparison of DGX Spark vs Mac Studio M5 Max for running local LLMs, highlighting decode speed, prefill performance, RAM, power consumption, and cost. The Mac wins on decode bandwidth but DGX is faster for prefill and supports batching.
DS4 is a specialized inference engine by antirez designed to run DeepSeek V4 Flash locally on high-end Mac hardware, featuring optimized KV cache handling and 1M context support.
Apple has removed the 256GB M3 Ultra Mac Studio configuration from its online store, raising speculation about future storage options for upcoming models.
The article argues that the Mac Studio is a poor choice for 24/7 local AI workflows due to the lack of CUDA support and non-upgradable hardware, despite its large unified memory.
The author shares a synthesized buying guide for hardware suitable for running local LLMs, comparing Mac Studio, NVIDIA, and AMD options based on community feedback.
A user shared their personal local LLM stack running on a MacStudio M2 Ultra 64 GB, combining SuperQwen3.6-35b-mlx-4bit, Ernie Image Turbo, and multiple helper models for coding and chat.
Bloomberg reports that new Mac Studio models won't arrive until at least October 2026, raising questions about when Apple hardware will be capable of running models like DeepSeek v4.