MacStories reviews M5 Ultra Mac Studio as a machine for local AI agents
Apple announced new Mac Mini and Mac Studio models powered by the M6, M5 Max, and M5 Ultra chips. The M5 Ultra is Apple's most powerful chip, with 4x faster AI performance than the M3 Ultra, and the M6 is the first 2nm chip in the M-series. The new desktops are positioned for local AI development.
Apple announced new Mac Mini and Mac Studio models powered by the M6, M5 Max, and M5 Ultra chips. The M5 Ultra is Apple's most powerful chip, with 4x faster AI performance than the M3 Ultra, and the M6 is the first 2nm chip in the M-series. The new desktops are positioned for local AI development.
A Reddit user notes the RTX 5090 now costs $5,090, prompting consideration of an M5 Ultra Mac Studio with 256GB RAM instead. The post reflects growing price sensitivity among AI hardware buyers.
A Reddit user notes the RTX 5090 now costs $5,090, prompting consideration of an M5 Ultra Mac Studio with 256GB RAM instead. The post reflects growing price sensitivity among AI hardware buyers.
A Substack essay and Reddit discussions argue Apple is the smartest tech company in AI because near-frontier models run locally on a single Mac Studio, and multi-trillion-parameter frontier models run at 20+ tokens/sec on a small Thunderbolt-connected cluster, cheaper and more power-efficient than NVIDIA workstations. The posts frame this as an underappreciated advantage.
A Substack essay and Reddit discussions argue Apple is the smartest tech company in AI because near-frontier models run locally on a single Mac Studio, and multi-trillion-parameter frontier models run at 20+ tokens/sec on a small Thunderbolt-connected cluster, cheaper and more power-efficient than NVIDIA workstations. The posts frame this as an underappreciated advantage.
Tim Dettmers blog post 'Frontier AI on Your Own Hardware' discussed on Hacker News
Tim Dettmers blog post 'Frontier AI on Your Own Hardware' discussed on Hacker News
Guide explains which local LLMs fit and run well on Mac hardware
Guide explains which local LLMs fit and run well on Mac hardware