AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch
Author:   Chris Fregly
Publisher:   O'Reilly Media
ISBN:  

9798341627789


Pages:   954
Publication Date:   23 December 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch


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Author:   Chris Fregly
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
ISBN:  

9798341627789


Pages:   954
Publication Date:   23 December 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Chris Fregly is a performance engineer and AI product leader who has driven innovations at Netflix, Databricks, Amazon Web Services (AWS), and multiple startups. He has led performance-focused engineering teams that built AI/ML products, scaled go-to-market initiatives, and reduced cost for large-scale generative-AI and analytics workloads. Chris is co-author of the O'Reilly books Data Science on AWS  and Generative AI on AWS, and creator of the O'Reilly course ""High-Performance AI in Production with NVIDIA GPUs. His work spans kernel-level tuning, compiler-driven acceleration, distributed training, and high-throughput inference. 

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