US EditionAI Calculations on Mac Cluster Gets a Big Boost From New RDMA Support on Thunderbolt 5
5 Articles
5 Articles
AI calculations on Mac cluster gets a big boost from new RDMA support on Thunderbolt 5
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 GeerlingIn November, Apple teased inbound features in macOS Tahoe 26.2 that stands to considerably change how AI researchers perform machine learning processing. At th…
Apple’s macOS Tahoe 26.2 Enables RDMA for AI Mac Clusters Over Thunderbolt 5
Thunderbolt’s Hidden Power: Apple’s RDMA Unlocks Mac Clusters for AI Dominance In the ever-evolving realm of artificial intelligence, where computational demands often push hardware to its limits, Apple has quietly introduced a game-changing feature that could redefine how developers and researchers approach large-scale AI tasks. The latest update to macOS Tahoe 26.2 brings Remote Direct Memory Access (RDMA) support over Thunderbolt 5, enabling …
With the update to macOS Tahoe 26.2, Apple has activated a feature of particular interest for distributed computing enthusiasts: RDMA (Remote Direct Memory Access), the ability to manage direct access to the RAM of multiple computers connected to each other via Thunderbolt 5. - on macitynet.it A Mac Studio cluster to manage 1.5TB of RAM thanks to Thunderbolt 5
$40K Apple Mac Studio RDMA Setup: 1 TFLOP per Node, 3.7 TFLOPS Across Four
What happens when a company known for sleek design and user-friendly tech decides to tackle the world of high-performance computing? Apple’s latest move with macOS 26.2 and its integration of RDMA over Thunderbolt is nothing short of audacious. In a recent video, Jeff Geerling breaks down how this feature, tested on a four-node Mac Studio […] The post $40K Apple Mac Studio RDMA Setup: 1 TFLOP per Node, 3.7 TFLOPS Across Four appeared first on Ge…
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