NVIDIA AI Infrastructure and Operations: NCA-AIIO Certification Guide provides a comprehensive and structured approach to preparing for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) certification exam.
Designed for IT professionals, system administrators, infrastructure engineers, and anyone seeking to understand modern AI infrastructure, the book covers the essential technologies behind GPU-accelerated AI environments.
Extensive diagrams and visual explanations throughout the book help simplify complex concepts, making architectures, technologies, relationships, and data flows easier to understand and remember.
What You'll LearnAI, machine learning, deep learning, generative AI, and accelerated computing
AI data center compute, networking, storage, power, and cooling
CPU, GPU, and DPU architectures
NVIDIA GPUs, DGX systems, DGX SuperPOD, and Grace CPU
ConnectX, BlueField, NVLink, NVSwitch, and Spectrum-X
InfiniBand, RDMA, GPUDirect RDMA, and GPUDirect Storage
DGX OS, GPU drivers, CUDA, NCCL, vGPU, and MIG
NVIDIA nvidia-smi, DCGM, and Base Command Manager
NVIDIA NIM, AI Enterprise, and AI Factory
AI workflows, PyTorch, TensorFlow, Slurm, Kubernetes, and MLOps
Exam-Focused PreparationThe book follows a structured learning progression designed to reinforce concepts relevant to the NCA-AIIO certification exam. Each chapter includes review questions with answer explanations to help assess your understanding and reinforce key concepts.
Whether you're preparing for the NCA-AIIO certification exam or building your knowledge of NVIDIA AI infrastructure and operations, this guide combines clear explanations, extensive diagrams, and exam-focused coverage to help you prepare with confidence.