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Four Mac Studio Units Clustered with 1.5 TB Memory Run AI That Does Not Fit on a Single GPU

A journalist combined four Mac Studio units with M3 Ultra into a cluster with a total memory of 1.5 TB using RDMA technology via Thunderbolt 5. The cluster ran massive AI models such as Kimi K2 Thinking (over 600 GB), which cannot be loaded on a single computer. The project was implemented using the open-source tool Exo 1.0.

AppleApple NVIDIANVIDIA ExoExo Moonshot AIMoonshot AI DeepSeekDeepSeek Alibaba/QwenAlibaba/Qwen
Habr — хаб ML24.07 · 04:03
Regulering 🇺🇸

Arcee: Chinese AI Models Are No More Dangerous Than Any Other Open-Source Software

The American open AI lab Arcee argues that Chinese open-weight models such as Kimi K3 and Qwen do not pose a unique threat. Arcee CTO Lucas Atkins explains that these models, running in an isolated user environment, have no communication channels with developers, and their code is available for inspection. Instead of bans, he proposes strengthening the open ecosystem in the United States.

Moonshot AIMoonshot AI Alibaba/QwenAlibaba/Qwen OpenAIOpenAI AnthropicAnthropic
TechCrunch AI24.07 · 04:02
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