NVIDIA-Certified Professional: AI Infrastructure
NCP-AII
The NCP-AII exam tests whether you can bring up, verify, troubleshoot and optimize NVIDIA AI infrastructure end to end: DGX systems, GPU clusters, control plane and networking. preporato.com covers each domain with timed practice exams, an explanation for every question and hands-on labs.
455+
問題数
7
練習テスト
17
実践ラボ
無期限
アップデート
含まれる内容
模擬試験
本番形式の模擬試験7セット
実践
ラボ· 17
Kubernetes Resource Requests & Limits — Who Gets What, and Who Survives
ロック解除Inside the NVIDIA GPU Operator — From Helm to Workload-Ready
ロック解除CUDA Programming Fundamentals
ロック解除GPU Container Lifecycle: Build, Test, Ship, Rollback
ロック解除GPU Cost & Efficiency Audit
ロック解除GPU Health Checks + Auto-Remediation
ロック解除GPU Observability: From nvidia-smi to a Production Monitoring Stack
ロック解除GPU Sharing: Streams, MPS, MIG, and the Real Cost of Contention
ロック解除MLflow Experiment Tracking: From Single Run to Team Workflow
ロック解除Nsight Systems Profiling: Finding the Bottleneck That Costs You 40% of Your GPU
ロック解除NVIDIA GPU Operator on k3s: Single-Node Kubernetes for GPU Workloads
ロック解除PriorityClass & Preemption — Who Survives the GPU Squeeze
ロック解除Persistent Storage for AI Workloads — PVCs, StorageClass & the Checkpoint Pattern
ロック解除Workload Controllers — Deployment, StatefulSet, DaemonSet for AI
ロック解除Rolling Updates, Rollback & Blue-Green for AI Inference
ロック解除Stuck-Pending Triage Day — Diagnose Any GPU Pod That Won't Run
ロック解除Multi-GPU-Type Targeting — nodeSelector, nodeAffinity & Tolerations
ロック解除学習を始めますか?
1回の購入で上記のすべてを利用できます。無期限アクセス、30日間返金保証。
なぜこの認定を取得するのか?
検証されるスキル
- Deploying and configuring NVIDIA DGX systems and GPU clusters
- System and server bring-up procedures and validation
- NVLink and NVSwitch fabric topology configuration
- Base Command Manager installation and cluster provisioning
- NCCL testing and HPL benchmark execution
- +7個のスキル
キャリアの利点
対象職種
給与範囲
$130,000 - $220,000+
AI infrastructure roles growing rapidly as organizations build GPU clusters for generative AI
試験トピックとドメイン
認定試験は、5つの主要なコンピテンシー領域にわたってあなたの知識を評価します:
- Single-node stress testing and burn-in procedures
- HPL benchmark execution and performance validation
- NCCL testing for multi-node GPU communication
- Cable signal verification and link integrity
- Firmware and software version confirmation
- ClusterKit assessment and validation tools
- Multi-node evaluation and cluster-wide testing
- NVLink topology validation
- InfiniBand fabric testing
- Deployment sequencing and installation order
- Network topology design for GPU clusters
- BMC, out-of-band, and TPM configuration
- Firmware upgrades and BIOS configuration
- Power and cooling validation
- Physical GPU installation procedures
- Hardware validation and component testing
- Cabling best practices and verification
- DGX system initial setup and configuration
- Base Command Manager setup and configuration
- Operating system installation and provisioning
- Cluster configuration and node management
- GPU driver installation and updates
- Container toolkit deployment
- NGC CLI usage and container management
- Slurm workload manager configuration
- PXE boot setup and image management
- BaseOS image creation and deployment
- Hardware fault identification and diagnostics
- Component replacement procedures
- Performance optimization for AMD/Intel servers
- Storage optimization and configuration
- DCGM health monitoring and alerts
- GPU error analysis and Xid error interpretation
- Network troubleshooting and diagnostics
- Thermal and power management issues
- BlueField DPU network configuration
- MIG configuration for AI and HPC workloads
- vGPU setup and management
- Network interface configuration
- Storage connectivity and NVMe setup
カバーされる技術とツール
できるようになること
この認定を取得した後、あなたは次のことができるようになります:
- Deploy and configure NVIDIA DGX systems from initial hardware setup to production readiness
- Execute comprehensive cluster validation using NCCL tests and HPL benchmarks
- Install and configure Base Command Manager for cluster provisioning and management
- Troubleshoot hardware faults and optimize performance for AI workloads
- Configure NVLink and NVSwitch fabric topologies for optimal GPU communication
- Implement BlueField DPU networking and MIG partitioning for multi-tenant environments
- Monitor GPU health using DCGM and interpret diagnostic metrics
- Manage firmware updates, driver installations, and software stack configuration
この資格が重要な理由
検証されるスキル
- Deploying and configuring NVIDIA DGX systems and GPU clusters
- System and server bring-up procedures and validation
- NVLink and NVSwitch fabric topology configuration
- Base Command Manager installation and cluster provisioning
- NCCL testing and HPL benchmark execution
- BlueField DPU configuration and networking
- +6個のスキル
キャリアの利点
対象職種
給与範囲
$130,000 - $220,000+
AI infrastructure roles growing rapidly as organizations build GPU clusters for generative AI
積極的に採用している業界
よくある質問
The exam is intermediate-to-advanced level and requires 2-3 years of hands-on experience with NVIDIA hardware in data center environments. It covers 5 domains with heavy emphasis on Cluster Test and Verification (33%) and System Bring-up (31%). Candidates must have practical experience with DGX systems, NVLink fabrics, and GPU cluster operations.
NVIDIA does not publicly disclose the exact passing score. The exam contains 70-75 questions and candidates have 120 minutes to complete it.
NCP-AII (Professional) requires 2-3 years of data center experience and tests advanced deployment, troubleshooting, and optimization skills. NCA-AIIO (Associate) is entry-level, covering foundational concepts. NCP-AII has a longer exam (120 min) and higher cost ($400 vs $125), focusing on hands-on operational skills.
NVIDIA offers a self-paced course covering AI infrastructure components including compute platforms, networking, and storage solutions. A multi-day instructor-led workshop provides deep dive into optimizing AI workloads and managing GPU resources. Hands-on experience with DGX systems is essential.
No prerequisite certifications are required. However, having NCA-AIIO provides a strong foundation. The exam assumes 2-3 years of practical data center experience with NVIDIA hardware.
You should have hands-on experience with DGX H100/H200 systems, Base Command Manager, NVLink/NVSwitch, BlueField DPUs, DCGM, NCCL, InfiniBand networking, MIG configuration, and standard data center operations including PXE boot, OS provisioning, and Slurm.
Yes, this is an official NVIDIA Professional-level certification validating advanced AI infrastructure skills. As organizations invest heavily in GPU clusters for AI, certified professionals are in high demand at cloud providers, enterprises, and research institutions.
Yes, the exam is delivered online and remotely proctored via the Certiverse platform, allowing you to take it from anywhere with a stable internet connection.
The exam costs $400 USD. You'll need to create a Certiverse account to register. This is the highest-cost NVIDIA certification, reflecting the specialized infrastructure skills validated.
合格に向けて始めましょう
模擬試験だけを購入することも、Proにアップグレードして実践ラボ17件に加えてPreporatoの他のすべてのコースを利用することもできます。
模擬試験のみ
無期限アクセス。一度の購入でずっと使えます
地域により別途税金がかかります
- フル模擬試験7セット
- 本番形式の問題455問以上
- 全問題に詳しい解説
- 試験モードと学習モード
- ×実践ラボは含まれません
Preporato Pro
月ごとの請求。いつでも解約できます
地域により別途税金がかかります
- NCP-AII向けの実践ラボ17件 +他のAI/MLラボ146件
- すべての資格の模擬試験
- GPUサンドボックスとホスト環境
- フラッシュカード、学習ガイド、記事
- いつでも解約可能、契約の縛りなし