How to Set Up an M1 Mac Cluster Using Thunderbolt for Running DeepSeek

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The article discusses creating an M1 Mac cluster using Thunderbolt for high-speed networking, enabling distributed learning. It outlines hardware requirements, network configuration, software setup for DeepSeek, and optimization techniques. While M1 lacks GPU acceleration, effective CPU-based management with tools like OpenMPI or Ray can facilitate efficient model training.

How to Set Up a Mac Mini Cluster for DeepSeek Execution

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To create a cluster using multiple Mac Minis for executing models like DeepSeek, you can follow these steps: 1. Hardware Setup: • Use multiple M1 Mac Minis with at least 16GB of unified memory. • Connect the Mac Minis using Thunderbolt cables or via a high-speed Ethernet switch to ensure low-latency communication between nodes. 2. […]

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