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DwarfStar distributes LLM inference across multiple Macs to pool unified memory. The approach targets the high cost of NVIDIA cards and server power. A Mac Studio offers up to 512GB unified memory with modest bandwidth. DwarfStar enables running massive models by combining several Macs.
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