I built an AI supercomputer with 5 Mac Studios
A video on YouTube. In Tech, a Krater category.
Watch on YouTubeSummary by Krater
The creator connects five Apple Mac Studios together using the open-source Exo software to build a local AI cluster, testing its performance with various Llama models over Thunderbolt networking.
From the video
Answers: How do you build a local AI cluster using multiple Mac Studios and Exo?
- building local AI cluster with Mac Studio
- using Exo software for AI clustering
- testing Llama models on Mac Studio cluster
- Thunderbolt networking for AI clusters
- quantization and VRAM requirements for LLMs
What it concludes
- Llama 3.2 1B runs successfully on a single Mac Studio with the Exo software.
- Thunderbolt networking creates a performance bottleneck when connecting five Mac Studios into an AI cluster.
- Mac Studios share 64GB of unified memory per machine, giving a total of 320GB of memory for GPU use in a 5-node cluster.
- Nvidia GPUs with CUDA support outperform M-series Macs for running massive AI models due to specialized tensor cores and library support.
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