NVIDIA AI Networking Professional Study Guide – NCP-AIN Exam

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AI Networking Professional Preparation Details

The NVIDIA Certified Professional AI Networking (NCP-AIN) exam validates your skills in deploying and troubleshooting Spectrum-X and InfiniBand fabrics for AI data centers. This guide maps every domain in the official blueprint to NVIDIA’s documentation, covering GPU-to-GPU communication, RoCE, adaptive routing, and Kubernetes RDMA integration. You can also explore more NVIDIA certification study guides on the NVIDIA category page to keep building your skills.

AI Networking Professional Materials

CourseraThe Fundamentals of RDMA Programming
UdemyNVIDIA Certified Professional AI Networking

AI Data Center Design and Optimization (5% of Exam)

Describe an AI factory networking architecture and its components (e.g., GPUs, NVIDIA® BlueField®, scalable units, switches).

Components — NVIDIA HGX AI Factory

Networking Hardware — NVIDIA HGX AI Factory

Networking Logical Architecture — NVIDIA HGX AI Factory

Describe rail-optimized topologies for high-performance AI workloads.

Networking Physical Topologies — NVIDIA HGX AI Factory

NVIDIA NVL72 AI Factory

Describe GPU-to-GPU communications

Overview

NVIDIA Fabric Manager

NVLink & NVLink Switch for Advanced Multi-GPU Communication

NVIDIA Spectrum Networking (30% of Exam)

Configure NVIDIA Spectrum-X switches for RDMA over Converged Ethernet (RoCE) to enable high-speed, low-latency communication.

RDMA over Converged Ethernet – RoCE

Cumulus Linux Configuration Guide for Ethernet Storage Fabrics

Enable and verify QoS, explicit congestion notification (ECN), and priority flow control (PFC), advanced features like adaptive routing, and telemetry

Quality of Service

Monitor ECMP

What Just Happened (WJH)

Configure multi-tenancy Border Gateway Protocol Ethernet VPN (BGP-EVPN) to isolate tenant workloads.

Basic Configuration

Cumulus Linux VXLAN and EVPN Network Reference Design Guide

Use NVIDIA Air to simulate network environments and identify potential issues.

NVIDIA Air User Guide

Custom Topology

Pre-built Demos

Diagnose congestion or packet loss using in-band telemetry and NVIDIA What Just Happened® (WJH) services.

What Just Happened (WJH)

Configure and Monitor What Just Happened

Diagnosing Network Issues Faster with NVIDIA WJH

Use NetQ for real-time network monitoring, including congestion detection and latency measurements.

Welcome to NVIDIA Networking Documentation

Monitor ECMP

Network Operations and Cumulus NetQ

Install NVIDIA DOCA™.

DOCA Installation Guide for Linux

DOCA-Host Installation and Upgrade

DOCA Documentation v3.3.0

Configure NVIDIA SuperNIC™ functionality for advanced packet processing and congestion control.

Introduction | NVIDIA ConnectX-8 SuperNIC User Manual

Port Configurations | NVIDIA ConnectX-8 SuperNIC User Manual

NVIDIA InfiniBand Networking (30% of Exam)

Perform initial configuration and provisioning, including high availability (HA).

Quick Start Guide

Initial Management Configuration

Prerequisites for UFM High Availability (HA) Installation

Configuring the Appliance for the First Time

Configure partition keys (PKeys) to ensure secure multi-tenancy in InfiniBand networks.

InfiniBand Network

One-Click Multi-Tenant Security with NVIDIA Quantum InfiniBand

Configure QoS and adaptive routing to dynamically adjust paths based on congestion.

Adaptive Routing | NVIDIA UFM-SDN Appliance User Manual

UFM Configuration

Use UFM to monitor InfiniBand link status and bandwidth utilization.

Telemetry | NVIDIA UFM Enterprise User Manual

Fabric Dashboard

Kubernetes Integration (5% of Exam)

Deploy the NVIDIA Network Operator to manage RDMA interfaces and InfiniBand networks within Kubernetes clusters.

NVIDIA Network Operator v26.1.1

NVIDIA Network Operator Deployment Guide with Kubernetes

Deploy IP over InfiniBand with RDMA Shared Device

Deploy SR-IOV InfiniBand Network with RDMA

Verify NVIDIA Network Operator functionality.

NVIDIA Network Operator v26.1.0

GitHub – Mellanox/network-operator: NVIDIA Network Operator

Troubleshooting Tools (20% of Exam)

Use tools like cl-resource-query to check resource allocation in Spectrum-X environments.

Resource Diagnostics

Use WJH services for real-time event analysis.

What Just Happened (WJH)

Diagnosing Network Issues Faster with NVIDIA WJH

Verify low-latency interconnects between GPUs, CPUs, and storage systems.

Networking Troubleshooting — NCCL Documentation

DCGM Multi-Node Diagnostics

Feature Overview — NVIDIA DCGM Documentation

Use UFM system health to diagnose InfiniBand issues

NVIDIA InfiniBand Cluster Operation and Maintenance Guide

Fabric Dashboard

Use commands like ib_write_lat, ib_write_bw, ibping, ibstat, ibdiagnet, ibnodes, and iblinkinfo to diagnose connectivity issues.

ibdiagnet InfiniBand Fabric Diagnostic Tool User Manual v2.21

Diagnostic Utilities

DOCA Perftest

Automation and Configuration (10% of Exam)

Manage Spectrum-X switch configurations through NVUE templates.

NVUE CLI

NVUE Snippets

Write Ansible playbooks to automate network setup tasks like VLAN creation or RoCE configuration.

Data Center Network Automation with Ansible

NVUE Automation with Ansible

Gathering Ansible Facts on Cumulus Linux

Wrapping Up AI Networking Professional

This guide covered every domain of the AI Networking Professional (NCP-AIN) exam, from AI factory design and Spectrum-X configuration to InfiniBand troubleshooting and network automation. With official NVIDIA documentation linked for each objective, you have a solid foundation for exam day. You can also explore more NVIDIA certification study guides on the NVIDIA category page to keep building your skills. Have a question or tip? Leave a comment below.

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