Aegis-GPU

NCP-AII · Professional · 120 min · 70-75 questions · $400

AI Infrastructure

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Exam details and more tools

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More study tools

  • Ask Aegis: the tutor button at the bottom right answers from the course content with citations.
  • Xid error reference: every in-use NVIDIA Xid code with NVIDIA's recommended actions.
  • HGX hardware guide: a beginner's tour of an 8-GPU server.

Exam facts

Level
Professional
Duration
120 minutes
Questions
70-75
Price
$400
Delivery
Online, remotely proctored
Language
English
Validity
Two years from issuance
Scoring
Pass/fail (no numeric score is reported)
Prerequisites
Two to three years of operational experience working in a data center with NVIDIA hardware solutions. The candidate should be able to deploy all the parts of a data center infrastructure in support of AI workloads.

Exam facts verified against NVIDIA's NCP-AII page on 2026-10-08. NVIDIA's page is internally inconsistent on question count: summary says approximately 70 questions, exam details say "70-75". Always confirm on nvidia.com before booking.

Official blueprint

System and Server Bring-up — 31%
  1. 1.1 Describe sequence of events for deployment and validation.
  2. 1.2 Describe network topologies for AI factories.
  3. 1.3 Perform initial configuration of BMC, OOB, and TPM.
  4. 1.4 Perform firmware upgrades (including on HGX) and fault detection.
  5. 1.5 Validate power and cooling parameters.
  6. 1.6 Install GPU-based servers (SMI).
  7. 1.7 Validate installed hardware.
  8. 1.8 Describe and validate cable types and transceivers.
  9. 1.9 Install physical GPUs.
  10. 1.10 Validate hardware operation for workloads.
  11. 1.11 Configure initial parameters for third-party storage.
Physical Layer Management — 5%
  1. 2.1 Configure and manage a BlueField network platform.
  2. 2.2 Configure MIG (AI and HPC).
Control Plane Installation and Configuration — 19%
  1. 3.1 Install Base Command Manager (BCM), configure and verify HA.
  2. 3.2 Install OS.
  3. 3.3 Install Cluster (configure category, configure interfaces, install Slurm/Enroot/Pyxis).
  4. 3.4 Install/update/remove NVIDIA GPU and DOCA drivers.
  5. 3.5 Install the NVIDIA container toolkit.
  6. 3.6 Demonstrate how to use NVIDIA GPUs with Docker.
  7. 3.7 Install NGC CLI on hosts.
Cluster Test and Verification — 33%
  1. 4.1 Perform a single-node stress test.
  2. 4.2 Execute HPL (High-Performance Linpack).
  3. 4.3 Perform single-node NCCL (including verifying NVLink Switch).
  4. 4.4 Validate cables by verifying signal quality.
  5. 4.5 Confirm cabling is correct.
  6. 4.6 Confirm FW/SW on switches.
  7. 4.7 Confirm FW/SW on BlueField-3.
  8. 4.8 Confirm FW on transceivers.
  9. 4.9 Run ClusterKit to perform a multifaceted node assessment.
  10. 4.10 Run NCCL to verify E/W fabric bandwidth.
  11. 4.11 Perform NCCL burn-in.
  12. 4.12 Perform HPL burn-in.
  13. 4.13 Perform NeMo burn-in.
  14. 4.14 Test storage.
Troubleshoot and Optimize — 12%
  1. 5.1 Identify and troubleshoot hardware faults (e.g., GPU, fan, network card).
  2. 5.2 Identify faulty cards, GPUs, and power supplies.
  3. 5.3 Replace faulty cards, GPUs, and power supplies.
  4. 5.4 Execute performance optimization for AMD and Intel servers.
  5. 5.5 Optimize storage.

Study roadmap

  1. Baseline. Read the official exam page and study guide, then skim every domain below to find gaps.
  2. Cluster Test and Verification (33%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  3. System and Server Bring-up (31%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  4. Control Plane Installation and Configuration (19%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  5. Troubleshoot and Optimize (12%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  6. Physical Layer Management (5%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  7. Exam rehearsal. Re-read your weakest domain notes and the study guide.

Official resources

From NVIDIA