AI Data Center Network Design (Final) by Mahesh Subramaniam (.ePUB)
File Size: 25.3 MB
AI Data Center Network Design and Technologies (Final Release) by Mahesh Subramaniam, Michal Styszynski, Himanshu Tambakuwala
Requirements: .ePUB reader, 25.3 MB
Overview: Artificial Intelligence (AI) 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 environments―where traditional data center designs simply can’t 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. Training is a critical phase that enables the AI and Machine Learning (ML) to make correct predictions or decisions using data. During this stage, the model processes input data, performs calculations, and generates output.
Genre: Non-Fiction > Tech & Devices
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