AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch
by Chris Fregly
Dive into AI systems performance engineering with a focus on optimizing model training and inference workloads. Leverage GPUs, CUDA, and PyTorch to achieve superior efficiency in your AI projects. This guide equips engineers with essential techniques to handle demanding computational tasks effectively.
About This Book
This book focuses on performance engineering for AI systems, providing strategies to optimize model training and inference workloads.
It explores the use of GPUs, CUDA, and PyTorch to enhance efficiency in AI development.
Readers will gain insights into practical methods for improving AI system performance without unnecessary complexity.
Ideal for professionals seeking to streamline their AI workflows using established tools and technologies.
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