GPU-Powered Deep Learning : Mastering Parallel Computing for High-Performance AI: A Practical Guide to CUDA, Optimization, and Scalable Model Deployment

Language: English

Published by Amazon Digital Services LLC - Kdp Okt 2025, 2025

9798269570686

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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Item description from seller

Neuware - GPU-Powered Deep Learning: Unlocking High-Performance AI with Parallel Computing and CUDA is a comprehensive guide for AI engineers, developers, and data scientists seeking to master GPU-accelerated deep learning. Authored by a seasoned AI expert, this book takes you on a journey from the fundamentals of CUDA programming to advanced techniques for scaling and deploying high-performance AI models. Through clear explanations, practical examples, and production-ready code, you'll learn to harness the power of GPUs to build, optimize, and deploy cutting-edge AI systems.The book begins with an introduction to GPU computing and CUDA, providing hands-on skills to write custom kernels and optimize memory usage. It progresses to leveraging high-level frameworks like PyTorch and TensorFlow, exploring optimization techniques such as memory coalescing and mixed-precision training. You'll master multi-GPU and distributed systems, learning to scale models across clusters with tools like Horovod and DALI. Finally, the book covers deploying optimized models for low-latency inference, integrating with modern AI ecosystems like LangChain and vector databases.With real-world case studies from healthcare, finance, and e-commerce, this book bridges theory and practice, offering actionable insights for building scalable, efficient AI solutions. Whether you're training massive language models, deploying real-time vision systems, or integrating with agentic workflows, this book equips you with the expertise to excel in the fast-evolving world of AI. Packed with annotated code, architectural patterns, and ethical considerations, it's an essential resource for professionals aiming to push the boundaries of AI performance.…

Title
GPU-Powered Deep Learning : Mastering Parallel Computing for High-Performance AI: A Practical Guide to CUDA, Optimization, and Scalable Model Deployment
Author
Zane Cortez
Publisher
Amazon Digital Services LLC - Kdp Okt 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798269570686
Item weight
154 grams
Dimensions
216x140x7 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 38.58US$ 49.60
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Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.

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AHA-BUCH GmbH

Garlebsen 48
Einbeck, Germany 37574