Price: ~~$99.99~~ - $87.79
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Elevate your AI system performance capabilities with this definitive guide to maximizing efficiency across every layer of your AI infrastructure. In today’s era of ever-growing generative models, AI Systems Performance Engineering provides engineers, researchers, and developers with a hands-on set of actionable optimization strategies. Learn to co-optimize hardware, software, and algorithms to build resilient, scalable, and cost-effective AI systems that excel in both training and inference. Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.

Inside, you’ll discover step-by-step methodologies for fine-tuning GPU CUDA kernels, PyTorch-based algorithms, and multinode training and inference systems. You’ll also master the art of scaling GPU clusters for high performance, distributed model training jobs, and inference servers. The book ends with a 175+-item checklist of proven, ready-to-use optimizations.

Codesign and optimize hardware, software, and algorithms to achieve maximum throughput and cost savingsImplement cutting-edge inference strategies that reduce latency and boost throughput in real-world settingsUtilize industry-leading scalability tools and frameworksProfile, diagnose, and eliminate performance bottlenecks across complex AI pipelinesIntegrate full stack optimization techniques for robust, reliable AI system performance

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Machine Learning

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Language Processing (NLP, LLM)

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O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

ASIN ‏ : ‎ B0F47689K8
Publisher ‏ : ‎ O’Reilly Media
Publication date ‏ : ‎ December 16, 2025
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 1060 pages
ISBN-13 ‏ : ‎ 979-8341627789
Item Weight ‏ : ‎ 3.95 pounds
Dimensions ‏ : ‎ 7 x 2 x 9.19 inches
Best Sellers Rank: #55,417 in Books (See Top 100 in Books) #2 in Computer Hardware Design & Architecture #8 in Computer Vision & Pattern Recognition #15 in Artificial Intelligence Expert Systems
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