Key Features
- Understand how GPUs, CUDA, networking, storage, and DPUs support AI workloads
- Learn the roles of MIG, vGPU, DCGM, Kubernetes, Slurm, NGC, and Triton
- Connect infrastructure components across the AI development and deployment lifecycle
Who this book is for
This book is for system administrators, cloud and DevOps professionals, data center and networking teams, solution architects, technical managers, presales professionals, and beginners who need a clear understanding of NVIDIA GPU infrastructure. It is especially relevant to professionals moving into AI infrastructure roles, evaluating GPU platform technologies, or collaborating across compute, networking, MLOps, and operations teams. Basic familiarity with IT, cloud, or data center concepts is helpful; programming, data science, and previous GPU experience are not required.