Name: Mastering AI Compute (en Inglés)
SKU: 69150776
Price: 39.02 USD
Availability: InStock
Author: Neil Han
ISBN: 9798178418642

portada Mastering AI Compute (en Inglés)

Formato

Libro Físico

Editorial

Independently published

Autor

Neil Han

Idioma

Inglés

N° páginas

166

ISBN13

9798178418642

Mastering AI Compute (en Inglés)

Neil Han (Autor) · Independently published · Libro Físico

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Reseña del libro "Mastering AI Compute (en Inglés)"

A faster GPU does not automatically produce a faster training job or a cheaper inference service. The result depends on the whole path: workload shape, memory traffic, communication, recovery, scheduling and the definition of useful output.Mastering AI Compute teaches AI infrastructure engineers and experienced systems engineers how to reason about that path. Start with transformer shapes, a training step and the generation loop. Build workload budgets, read GPU profiles, map parallelism and communication, account for checkpoint durability, and diagnose admission, placement and data stalls. Then follow serving from prefill and decode through KV-cache allocation, batching, quantization and speculative decoding to latency, quality and cost per useful output.The book works through named systems including FlashAttention-3, NCCL, FSDP2, Megatron, Kubernetes, Kueue, vLLM and MLPerf. Published GPU profiles and logs are embedded as annotated tables and original data figures. CPU worksheets and a tested small training/restart example accompany the chapters. Evidence labels distinguish published results, calculations and book-authored measurements. GPU and cluster experiments are recipes for the reader to run on their own hardware.For engineers who design, operate and pay for AI compute, this is a systems reference for asking better questions, reading the evidence and choosing the next test.