| Management number | 231975335 | Release Date | 2026/06/18 | List Price | US$2.59 | Model Number | 231975335 | ||
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Book DescriptionMastering NVIDIA Blackwell Architecture: A Comprehensive Guide to AI Acceleration, GPU Programming, and High-Performance Computing is a comprehensive and technically in-depth guide tailored for developers, engineers, researchers, and technology professionals seeking a foundational and practical understanding of NVIDIA’s Blackwell GPU architecture. This book demystifies the cutting-edge technologies that make Blackwell the most advanced GPU architecture ever built for artificial intelligence, high-performance computing (HPC), data centers, and next-generation software applications.The book begins with a rich contextual overview of the evolution of GPU architectures, the rise of accelerated computing, and the technical innovations that distinguish Blackwell from its predecessors. It thoroughly explores Blackwell’s architectural components—including NVLink, HBM3e memory, AI accelerators like Tensor Cores, and the Transformer Engine—offering readers deep insight into their design rationale and performance implications.Going beyond theory, this guide delves into software ecosystems and development environments, with practical chapters on CUDA programming, model deployment pipelines, real-world applications, and step-by-step development tutorials. With hands-on code examples, optimization techniques, and best practices, readers learn how to harness the full computational power of Blackwell in real-world scenarios ranging from training large language models to executing complex HPC workloads.Whether you're building AI systems, optimizing performance in data centers, or exploring Blackwell’s potential in autonomous robotics and future quantum applications, this book equips you with the technical skills and knowledge required to integrate Blackwell GPUs into your workflows. Written for the modern tech community, this is not just a guide—it's an essential tool for navigating the future of accelerated computing with NVIDIA Blackwell. Read more
| ASIN | B0F4V2WPM9 |
|---|---|
| XRay | Not Enabled |
| Language | English |
| File size | 600 KB |
| Page Flip | Enabled |
| Word Wise | Not Enabled |
| Print length | 288 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | April 13, 2025 |
| Enhanced typesetting | Enabled |
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