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AI Systems Performance Engineering : Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch

AI Systems Performance Engineering : Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch

by O'Reilly Media

£79.99
MPN9798341627789
Prices updated 21 May 2026

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Product Description

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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