macOS 26.2 enables fast AI clusters with RDMA over Thunderbolt (developer.apple.com)

Apple's recent macOS 26.2 update introduces support for fast AI clusters utilizing RDMA (Remote Direct Memory Access) over Thunderbolt technology. This enhancement allows for high-speed data transfers between devices, significantly increasing the efficiency of distributed AI/ML tasks. By enabling RDMA, developers can leverage multiple machines in a cluster setup to process vast datasets quickly, reducing latency and improving performance for AI applications. This development is particularly significant for the AI/ML community as it opens new possibilities for more complex and resource-intensive computations, such as training large language models or performing sophisticated simulations. The integration of Thunderbolt with RDMA provides a cost-effective solution for researchers and companies looking to build powerful AI clusters without investing in expensive networking hardware. As AI workloads continue to grow, the improvements in data transfer rates and overall system responsiveness could lead to breakthroughs in various fields, including natural language processing and computer vision.