February 2026
Intermediate to advanced
384 pages
12h 48m
English
book
AI Data Center Network Design and Technologies
by Mahesh Subramaniam, Michal Styszynski, Himanshu Tambakuwala
Content preview from AI Data Center Network Design and Technologies
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13
Scale-Up Systems
With all the technologies and diverse design options for backend training networks and storage networking for the domains covered so far in this book, you might think that AI/ML data center networking is already well defined with scale-out systems, and most problems can be solved using the current RoCEv2 or the emerging Ultra Ethernet Specification from the Ultra Ethernet Consortium (UEC). Today, however, computing power of xPU accelerators (such as GPUs or TPUs) sometimes increases faster than the capacity of Ethernet and InfiniBand, so newer, higher-capacity XPU-scale-up systems are being developed. In these systems, the xPU is closely connected to a purpose-built interconnect point, which helps memory schematics communicate ...
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