000			02270nam a22002417a 4500
005			20260721150024.0
008			260721s2026 |||||||| |||| 00| 0 eng d
020			_a9780135436288
040			_cPK-LaUMT
082			_a004.678 _bSUB-A
100	1		_aSubramaniam, Mahesh _913930
245	1	0	_aAI data center network design and technologies / _cMahesh Subramaniam, Michal Styszynski and Himanshu Tambakuwala
260			_aHoboken : _bAddison-Wesley, _c2026
300			_axxiv, 349 p.
500			_aIndex present
520			_a"Artificial intelligence is redefining the scale, architecture, and performance expectations of modern data centers. Training large ML models demand infrastructure capable of moving massive data sets through highly parallel, compute-intensive environmentswhere traditional data center designs simply cant keep up. AI Data Center Network Design and Technologies is the first comprehensive, vendor-agnostic guide to the design principles, architectures, and technologies that power AI training and inference clusters. Written by leading experts in AI Data center design, this book helps engineers, architects, and technology leaders understand how to design and scale networks purpose-built for the AI era. You will tearn how to Architect scalable, high-radix network fabrics to support xPU (GPE, TPU)-based AI clusters Integrate lossless Ethernet/IP fabrics for high-throughput, low-latency data movement Align network design with AI/ML workload characteristics and server architectures Address challenges in cooling, power, and interconnect design for AI-scale computing Evaluate emerging technologies from the Ultra Ethernet Consortium (UEC) and their affect on future AI data centers Apply best practices for deployment, validation, and performance measurement in AI/ML environments With broad coverage of both foundational concepts and emerging innovations, this book bridges the gap between network engineering and AI infrastructure design. It empowers readers to understand not only how AI data centers work, but why they must evolve"-- Back cover
546			_aEng
650			_aInternet
650			_aNetwork communication _913931
700	1		_aStyszynski, Michal _913932
700	1		_aTambakuwala, Himanshu _913933
942			_cBK
999			_c141545 _d141545