Modern AI NPU Architecture: Design Intelligent AI Processors from Architecture Planning and RTL Development to FPGA Prototyping and ASIC Implementation

By MALCOLM J. HARTWELL

Have you ever wondered what it takes to design the processors that power today's artificial intelligence? From image recognition and natural language processing to robotics and intelligent automation, modern AI depends on specialized hardware capable of delivering exceptional speed, efficiency, and performance. But how are these processors actually built?

Modern AI NPU Architecture is your comprehensive guide to understanding and designing Neural Processing Units (NPUs) from the ground up. Whether you're a student, hardware engineer, FPGA developer, embedded systems programmer, or AI enthusiast, this book takes you through the complete development journey using clear, practical explanations and industry-relevant engineering concepts.

Want to understand more than just how AI models work? Learn how the hardware behind them is planned, modeled, designed, verified, optimized, and prepared for real-world deployment. You'll build a strong foundation in digital logic, computer architecture, tensor computing, memory systems, hardware modeling, compiler design, RTL development, verification, FPGA implementation, ASIC design, and performance optimization.

Rather than treating each topic separately, this book connects every stage of AI accelerator development into one structured learning path. You'll gain the knowledge needed to understand modern processor architectures, optimize hardware performance, solve engineering challenges, and design scalable AI accelerators with confidence.

Whether you're preparing for a career in AI hardware engineering, expanding your technical skills, or exploring next-generation processor design, this book provides the practical knowledge and engineering principles needed to succeed.

The future of artificial intelligence will be built on better hardware. Start your journey today with Modern AI NPU Architecture and learn how to design the intelligent processors that power tomorrow's AI innovations.

• Format: Paperback
• Language: English
• ISBN: B0HDMVVPL2
• ISBN13: 9798191353128
• Release Date: August 2026
• Publisher: Independently published
• Length: 532 Pages
• Weight: 2.70 lbs.
• Dimensions: 11.0" x 1.2" x 8.5"