Books
Unlock the full power of modern GPU programming with Mastering the Vulkan API. This practical guide helps intermediate C++ developers build high-performance graphics and compute applications through clear explanations, hands-on examples, and production-inspired best practices.
- NVIDIA DGX Spark: The Complete AI Development and Deployment PlatformFrom Hardware Architecture to Production LLMs, RAG Systems, Agents, and Enterprise AISteve Publications
Build serious AI systems on NVIDIA DGX Spark with a practical guide that goes far beyond setup. Learn to deploy LLMs, create RAG pipelines, orchestrate AI agents, and optimize performance for real production workloads. Whether you are experimenting or scaling enterprise AI, this book shows you how to get there.
- GPU Programming using Rust and CUDAExploring Rust’s potential in GPU and parallel computing using Rust-CUDA, cuda-oxide, and RustaCUDAGitforGits | Asian Publishing House
We'll be writing kernels in Rust and seeing how they match up with their C++ equivalents. If you feed a GPU properly, you'll see bandwidth quadruple from just one changed subscript. It'll get you working with thousands of threads, pricing a financial option based on an exact formula, and shipping an inference pipeline that outruns its Python equivalent for reasons you can name.
- CUDA Programming from ScratchFrom First Principles to Production-Grade GPU ApplicationsSteve Publications
Learn CUDA programming from the ground up by understanding how GPUs really execute code. This book shows you how to write efficient kernels, optimize performance, and build high-performance applications for AI, scientific computing, image processing, and other demanding workloads on modern NVIDIA GPUs, including Blackwell.
