SKU/Artículo: AMZ-B0GCDBDWZH
Modern GPUs for Beginners : A Practical Guide to Graphics Processing Units, AI Acceleration, CUDA, ROCm, Metal, Vulkan & High-Performance Compute
Format:
Kindle
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Fuera de stock
Peso con empaque:
0.76 kg
0.76 kg
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Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Modern GPUs for Beginners: A Practical Guide to Graphics Processing Units, AI Acceleration, CUDA, ROCm, Metal, Vulkan & High-Performance ComputeModern GPUs now sit at the center of today’s biggest technological breakthroughs—AI acceleration, deep learning, gaming, data analytics, 3D rendering and high-performance compute. Yet for beginners, the GPU world often feels fragmented, complex and difficult to navigate. This book removes that confusion. It gives you a clear, practical and fully updated path to understanding how GPUs work, how to program them, and how to build powerful GPU-accelerated systems using the same toolchains professionals rely on in 2025. If you’ve ever wanted to confidently use NVIDIA CUDA, AMD ROCm, Apple Metal or Vulkan compute in real projects, this is the guide that finally makes it accessible.What You Will Learn You will gain a deep, practical understanding of GPU architecture, parallelism, memory hierarchies and modern compute pipelines. You will learn how to choose and build the right GPU system for AI, graphics and homelabs; install and configure CUDA, ROCm, Metal and Vulkan across Windows, Linux and macOS; write your first GPU kernels; and use PyTorch, TensorFlow, JAX, RAPIDS, TensorRT and ONNX Runtime for real AI workloads. Each chapter includes guided practice labs, and the book concludes with a full end-to-end GPU project where you design, train, optimize and deploy a GPU-accelerated AI and visualization system.Who This Book Is For This book is ideal for beginners, developers, AI engineers, students, data scientists, homelab builders and anyone who wants a practical, modern and hands-on introduction to GPU computing. No prior experience with GPUs is required—everything is explained step-by-step with real examples and real tools. If you want a book that doesn’t just explain GPUs but shows you exactly how to use them—across AI, data, graphics and high-performance compute—this is your complete, modern and beginner-friendly starting point. Build real skills, master real toolchains and gain the confidence to create powerful GPU-accelerated applications from the ground up.
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