Real-world test of Apple’s latest implementation of Mac cluster computing proves it can help AI researchers work using massive models, thanks to pooling memory resources over Thunderbolt 5.
An M3 Ultra Mac Studio quartet set up for clustering over Thunderbolt 5 – Image Credit: Jeff Geerling
In November, Apple teased inbound features in macOS Tahoe 26.2 that stands to considerably change how AI researchers perform machine learning processing. At the time, the headline improvement made to MLX, Apple’s machine learning framework, was to support GPU-based neural accelerators, but Thunderbolt 5 clustering support was also a big change.
One month later, and the benefits of Thunderbolt 5 for clustering are finally being seen in a real-world environment.
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