NVIDIA-Certified Professional

AI Networking

(NCP-AIN)

About This Certification
Exam Preparation
Exam Blueprint
Contact Us
Stay Informed

About This Certification

About This Certification
Exam Preparation
Exam Blueprint
Contact Us
Stay Informed

About This Certification

The NCP-AI Networking certification is an intermediate-level credential that validates a candidate’s ability to deploy and configure environments that leverage NVIDIA’s advanced networking technologies. The exam is online and proctored remotely, includes ~65 questions, and has a 90-minute time limit.

Please carefully review our certification FAQs and exam policies before scheduling your exam.

If you have any questions, please contact us here.

Certification Exam Details

Duration: 90 minutes

Price: $400

Certification level: Professional

Subject: AI Networking

Number of questions: ~65

Prerequisites: Two to three years of operational experience working in a data center with NVIDIA hardware solutions. The candidate should be able to deploy and manage NVIDIA AI networking infrastructure in support of AI workloads.

Language: English

Validity: This certification is valid for two years from issuance. Recertification may be achieved by retaking the exam.

Credentials: Upon passing the exam, participants will receive a digital badge and optional certificate indicating the certification level and topic.

Exam Preparation

Topics Covered in the Exam

Topics covered in the exam include:

AI network architecture
NVIDIA Spectrum-X™ configuration, optimization, security, and troubleshooting
InfiniBand configuration, optimization, security, and troubleshooting

Candidate Audiences

Data center administrators
Infrastructure administrators
Network administrators
Network engineers
Storage administrators
System administrators
Solution architects

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Exam Study Guide

Review study guide

Exam Blueprint

The table below provides an overview of the topic areas covered in the certification exam and how much of the exam is focused on that subject.

Topic Areas	% of Exam	Topics Covered
AI network architecture	20%	Identify and differentiate between AI factory and AI data center architectures. Compare and contrast Ethernet and InfiniBand networking technologies. Identify appropriate storage types for AI networking architectures based on performance, scalability, and cost considerations.
Spectrum-X configuration, optimization, security, and troubleshooting	40%	Configure, monitor, and maintain NVIDIA Spectrum-X switches. Create performance baseline results and troubleshoot performance issues. Be proficient using tools such as CloudAI benchmark, NCCL, and NetQ. Use DPUs to improve network performance. Create telemetry baseline results using tools such as Grafana and SNMP.
InfiniBand configuration, optimization, security, and troubleshooting	40%	Configure, monitor, and maintain NVIDIA InfiniBand switches. Configure InfiniBand network fabric for multi-tenancy. Configure InfiniBand subnet manager. Test network connectivity. Use UFM to analyze and troubleshoot InfiniBand networks. Validate rail-optimized topology.

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NVIDIA offers training and certification for professionals looking to enhance their skills and knowledge in the field of AI, accelerated computing, data science, advanced networking, graphics, simulation, and more.

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