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Testing RDMA over Thunderbolt 5 on Mac Studio Cluster for AI Workloads

By

rbanffy

5mo ago· 12 min readenReview

Summary

The article details testing of RDMA (Remote Direct Memory Access) over Thunderbolt 5 on a Mac Studio cluster, enabling multiple Macs to function as a single large memory pool for AI workloads. The author tested a cluster with 1.5 TB of unified memory using Exo 1.0, an open-source AI clustering tool, noting the $40,000 cost and that the hardware was loaned by Apple and DeskPi for testing purposes.

Key quotes

· 5 pulled
RDMA lets the Macs all act like they have one giant pool of RAM, which speeds up things like massive AI models.
The stack of Macs I tested, with 1.5 TB of unified memory, costs just shy of $40,000, and if you're wondering, no I cannot justify spending that much money for this.
Apple gave me access to this Mac Studio cluster to test RDMA over Thunderbolt, a new feature in macOS 26.2.
The easiest way to test it is with Exo 1.0, an open source private AI clustering tool.
Apple loaned the Mac Studios for testing. I also have to thank DeskPi for sending over the 4-post mini rack containing the cluster.
Snippet from the RSS feed
Apple gave me access to this Mac Studio cluster to test RDMA over Thunderbolt, a new feature in macOS 26.2. The easiest way to test it is with Exo 1.0, an open source private AI clustering tool. RDMA lets the Macs all act like they have one giant pool of

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