Rust Programming for AI and CUDA: Master High-Performance Machine Learning with Safe GPU Kernels, Inference, and Scalable Training

$26.99
by Anton Hansen

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Ready to build AI systems that are faster, safer, and truly production-ready? Imagine writing high-performance CUDA kernels directly in Rust, training large models at scale with zero Python baggage, and shipping tiny static binaries that start in milliseconds. Rust Programming for AI and CUDA shows you exactly how to do it, from your first safe GPU kernel to blazing-fast Llama-3 inference and multi-GPU distributed training. This practical, hands-on guide is written for engineers, researchers, and technical leaders who want the speed of native GPU code with Rust’s legendary memory safety and reliability. You’ll master the complete modern Rust AI stack: Rust-CUDA for custom kernels, Candle for high-speed inference (including FlashAttention, PagedAttention, quantization, and continuous batching), and Burn for scalable training with automatic kernel fusion and NCCL multi-GPU support. What you’ll achieve: Write and optimize safe Rust CUDA kernels that reach >90% of CUDA C performance - Run Llama-3 / Mistral inference at 1000+ tokens/sec with production-ready features - Train Vision Transformers and custom models on 8+ GPUs with near-linear scaling - Deploy models as tiny static binaries with zero Python dependency, perfect for Docker, Kubernetes, edge, or browser (WebAssembly + WebGPU) - Migrate existing Python pipelines to Rust and see dramatic gains in latency, memory usage, and cold-start time What’s inside this book? Complete environment setup with reproducible Docker + CUDA 13 - Safe memory management, zero-copy patterns, and RAII tensor wrappers - High-performance custom kernels (tensor cores, shared memory, warp primitives) - Full end-to-end projects: OpenAI-compatible Llama-3 server, production RAG system, and a custom vision model trained with Burn and served with Candle - Advanced topics: quantization, speculative decoding, KV cache, distributed data loaders, security hardening, and observability Whether you’re optimizing latency-critical inference engines, scaling training across multiple GPUs, or deploying regulated AI systems that demand ironclad safety, this book gives you the complete toolkit and real-world templates you need. Get your copy today and unlock production-grade Rust AI development.

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