NVIDIA-Certified Professional: AI Infrastructure
Exam Code: NCP-AII
The NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) certification validates the skills required to deploy, manage, and maintain AI infrastructure environments using NVIDIA technologies, including GPU computing, networking, and AI platform operations. It is considered an intermediate-level certification for professionals working with AI infrastructure and GPU-accelerated data centers.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: NCP-AII
- Certification Level: Professional
- Exam Duration: 90 minutes
- Passing Score: Not officially disclosed by NVIDIA
- Unscored Content: The exam may include unscored questions used for exam development and research purposes. These questions do not affect your score.
Exam Details
- Question Types: Multiple choice and scenario-based questions
- Number of Questions: Approximately 60 questions
- Hands-On Questions: The exam focuses on infrastructure deployment and operational scenarios rather than hands-on lab simulations.
Exam Policies
- Offline Proctoring: Must be rescheduled or canceled according to the testing provider’s scheduling policy.
- Online Proctoring: Candidates must ensure a stable internet connection, webcam, and secure testing environment.
- Waiting Period: Candidates must wait before retaking the exam if they do not pass, according to NVIDIA certification retake policies.
- Retake Fee: Full exam fee must be paid for each retake attempt.
Certification Validity and Renewal
- Validity: 2 years
- Renewal Options: Recertify by passing the latest version of the certification exam or completing updated certification requirements as defined by NVIDIA.
Exam Fee
- Base Fee: $400 USD (excluding taxes)
- Taxes: Country-specific VAT may apply
- Example: In India, 18% tax applies, making the total $472 USD ($400 + $72 tax)
Prerequisites
There are no formal prerequisites for taking the NCP-AII exam. However, it is recommended to have:- Knowledge of GPU-accelerated computing environments
- Experience with Linux-based server administration
- Understanding of AI workloads and infrastructure deployment
- Familiarity with networking and storage used in AI and HPC environments
Exam Topics
- AI Infrastructure Architecture: GPU servers, cluster architecture, AI data center infrastructure
- GPU Platforms and Systems: NVIDIA GPU hardware, CUDA environments, GPU resource management
- Networking for AI Infrastructure: InfiniBand and Ethernet networking for distributed AI workloads
- Storage for AI Workloads: High-performance storage architectures and AI data pipelines
- AI Platform Deployment: NVIDIA drivers, GPU software stacks, AI platform configuration
- Infrastructure Operations: Monitoring, performance optimization, troubleshooting GPU clusters
Intended Audience
The NCP-AII certification is ideal for professionals working with AI infrastructure environments, including roles such as:- AI Infrastructure Engineer
- Data Center Engineer
- GPU Platform Engineer
- Machine Learning Infrastructure Engineer
- HPC Systems Engineer
Career Impact
Jobs You Can Get:
- AI Infrastructure Engineer, GPU Systems Engineer, Data Center Engineer, Machine Learning Platform Engineer, HPC Engineer, etc.
Average Salary:
- Varies by country — U.S.: $95,000–$150,000 USD,
- India: ₹10,00,000–₹30,00,000 INR,
- United Kingdom: £55,000–£90,000 GBP,
- UAE: 180,000–320,000 AED per year.
Why It’s Valuable:
- Recognized certification validating expertise in NVIDIA-powered AI infrastructure used in modern data centers and large-scale machine learning environments.
Exam Mode
The exam is proctored and can be taken either:- In-person at authorized Pearson VUE test centres
- Online through Pearson VUE’s online proctoring system
Exam Booking Link
- Book your NVIDIA Certification Exam via Pearson VUE — Click herehttps://www.pearsonvue.com/nvidia
Once you pass the exam
- Download your NVIDIA Certification from the NVIDIA certification portal
- Processing Time: Certification typically available within 24 to 48 hours after passing the exam
- Log in to the NVIDIA certification portal
- Navigate to the Certifications section
- Download your certificate (PDF format)
Offers
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Top Reasons to Choose
NVIDIA-Certified Professional: AI Infrastructure
High Demand for AI Infrastructure Skills
Organizations deploying large-scale AI workloads require professionals capable of managing GPU-powered infrastructure. This certification validates expertise needed to build and operate modern AI data centers efficiently.
Hands-On Knowledge of GPU-Accelerated Computing
The certification focuses on real-world infrastructure including GPU clusters, AI networking, storage systems, and NVIDIA software stacks used for training and deploying large-scale machine learning models.
Career Growth in AI and High-Performance Computing
AI infrastructure engineers are among the most sought-after technology professionals worldwide. This certification helps professionals demonstrate specialized expertise in GPU computing and enterprise AI platforms.
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FAQ
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Who should take the NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) exam?
The NCP-AII exam is intended for infrastructure engineers, data center professionals, and platform engineers who deploy and manage GPU-powered AI environments. Candidates typically work with AI infrastructure, high-performance computing systems, or enterprise data centers supporting machine learning workloads and distributed training platforms.
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How difficult is the NCP-AII exam?
The NCP-AII exam is considered intermediate-level and moderately challenging. Candidates must understand GPU infrastructure, AI networking, storage systems, and infrastructure deployment concepts. Professionals with hands-on experience managing GPU servers or AI infrastructure environments will find the exam more manageable than those with only theoretical knowledge.
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Why does NVIDIA offer the AI Infrastructure Professional certification?
NVIDIA offers the NCP-AII certification to validate the growing need for professionals capable of designing and operating AI infrastructure. As organizations adopt AI technologies, they require engineers who can manage GPU clusters, high-performance networking, and infrastructure used to support modern machine learning platforms.
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What tools and resources can be used to prepare for the NCP-AII exam?
Candidates can prepare using official NVIDIA training resources, documentation, and hands-on practice with GPU-based environments. NVIDIA Deep Learning Institute courses, CUDA documentation, AI platform guides, and real-world infrastructure deployment experience help candidates understand the technologies required for managing enterprise AI infrastructure.
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Is the NVIDIA-Certified Professional: AI Infrastructure certification still valuable in 2026?
Yes, the NCP-AII certification remains highly valuable as organizations continue investing heavily in AI infrastructure. Skills related to GPU computing, AI platforms, and large-scale machine learning systems are increasingly in demand, making this certification relevant for AI infrastructure engineers and data center professionals worldwide.
