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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 - Paperback

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Availability:In StockContributor:Chris FreglyPublish date:12/16/2025Pages:1058
Language:EnglishPublisher:O'Reilly MediaISBN-13:9798341627789UPC:9798341627789Book Category:ComputersBook Subcategory:Artificial Intelligence, Computer Engineering, Computer ArchitectureBook Topic:Natural Language ProcessingSize:9.19 x 7.00 x 2.08 inchesWeight:3.6442Product ID:SCD8YV67PK

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

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...

Language:EnglishPublisher:O'Reilly MediaISBN-13:9798341627789UPC:9798341627789Book Category:ComputersBook Subcategory:Artificial Intelligence, Computer Engineering, Computer ArchitectureBook Topic:Natural Language ProcessingSize:9.19 x 7.00 x 2.08 inchesWeight:3.6442Product ID:SCD8YV67PK
Fregly, Chris: - 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 coauthor of the Oâ€(TM)Reilly...
Publisher: O'Reilly Media

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Chris Fregly

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