Certification Study Guide Understand GPUs, NVIDIA AI infrastructure
Category: eBooks
- views: 14
- date: 30 October 2026
- posted by: BeMyLove
Certification Study Guide Understand GPUs, NVIDIA AI infrastructure | 46.11 MB
Title: Certification Study Guide Understand GPUs, NVIDIA AI infrastructure
Author: Ashish Prajapati
Category: Systems Analysis, Skills, Artificial Intelligence
Language: English | N/A Pages | ISBN: 9781808818462
Description:
Prepare for the NVIDIA NCA-AIIO exam by understanding how GPUs, AI data centers, and NVIDIA infrastructure tools work together while exploring networking, virtualization, monitoring, and scheduling through exam-focused scenarios.
Key Features
Book Description
AI workloads place new demands on data centers, and traditional server knowledge is not enough to understand GPU-driven infrastructure. If you are moving into accelerated computing or preparing for the NVIDIA Certified Associate: AI Infrastructure and Operations (NCA-AIIO) exam, this guide helps you connect the technologies, tools, and responsibilities across the AI stack. Learn to position them within the six-layer NVIDIA technology stack and recognize how each layer supports the next.
Start by comparing CPU, GPU, and DPU roles and examining how compute, storage, power, cooling, and networking support training and inference. Explore NVIDIA DGX systems, NVLink, InfiniBand, RDMA, and GPUDirect to see how accelerated platforms move data. Then map the driver, CUDA, NCCL, and NVIDIA software offerings to AI workflows, and distinguish vGPU from Multi-Instance GPU (MIG) when resources must be shared.
Move into operations with nvidia-smi, DCGM, and monitoring integrations, then compare Slurm scheduling with Kubernetes orchestration. Connect model versioning, validation, and monitoring feedback to MLOps without losing sight of the infrastructure. Chapter reviews, scenario-based questions, objective mapping, and mock exams help you test what you know, spot weak areas, and prepare to tackle NCA-AIIO questions with sound reasoning.
What you will learn
Who this book is for
This book is for system administrators, data center technicians, network engineers, cloud and platform specialists, DevOps practitioners, and technical support professionals preparing for NCA-AIIO or moving into NVIDIA-powered AI infrastructure. It also suits early-career IT staff moving from traditional servers into accelerated environments. Basic knowledge of servers, storage, networking, and operating systems is helpful. No prior GPU administration, CUDA programming, or AI model development is required. Readers learn to identify technology roles and interpret infrastructure scenarios.
Table of Contents
(N.B. Please use the Read Sample option to see further chapters)
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