AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch
by Chris Fregly
AI Systems Performance Engineering explores how to optimize model training and inference workloads using GPUs, CUDA, and PyTorch. Chris Fregly presents a focused resource for readers interested in the performance engineering principles and technologies that support efficient, high-performance AI systems.
About This Book
AI Systems Performance Engineering focuses on optimizing the performance of artificial intelligence workloads.
The book addresses both model training and inference, with attention to the computing demands of each stage.
It covers GPUs, CUDA, and PyTorch as key technologies for developing and accelerating AI systems.
Written by Chris Fregly, this resource is intended for readers seeking a focused introduction to performance engineering for modern AI workloads.
Reviews
No reviews yet. Be the first to review this book!