NVIDIA Certified Associate - AI Infrastructure Operations (NCA-AIIO)¶
Exam Overview¶
The NVIDIA Certified Associate - AI Infrastructure Operations certification validates foundational knowledge of managing and operating GPU-accelerated infrastructure for AI workloads, including GPU monitoring, container management, basic Kubernetes GPU operations, and troubleshooting.
Exam Code: NCA-AIIO Exam Duration: 60 minutes Number of Questions: 50-60 questions Exam Format: Multiple choice Cost: $135 USD Validity: 2 years Prerequisites: Basic understanding of Linux administration and data center operations
Exam Domains¶
Domain 1: GPU Fundamentals and Monitoring (25%)¶
- NVIDIA GPU architecture basics
- nvidia-smi and GPU monitoring tools
- DCGM fundamentals
- GPU health indicators and metrics
- Common GPU error types
Domain 2: Container and Runtime Management (25%)¶
- NVIDIA Container Toolkit
- Docker with GPU support
- NGC container registry
- Container image management
- GPU resource allocation in containers
Domain 3: Kubernetes GPU Operations (20%)¶
- NVIDIA GPU Operator basics
- GPU scheduling in Kubernetes
- Device plugin and feature discovery
- Basic MIG operations
- Pod GPU resource requests
Domain 4: Infrastructure Management (15%)¶
- GPU driver management
- CUDA toolkit basics
- System requirements for GPU workloads
- Storage and networking for AI
- Environment configuration
Domain 5: Troubleshooting and Maintenance (15%)¶
- Common GPU issues and resolution
- Log analysis for GPU errors
- Performance monitoring basics
- Maintenance procedures
- Escalation and documentation
Quick Links¶
- NVIDIA Certification Program - Registration
- DCGM Documentation - GPU monitoring
- Container Toolkit - GPU containers
- GPU Operator - Kubernetes GPU management
- NGC Catalog - Container and model registry
Career Benefits¶
Job Opportunities¶
- GPU Infrastructure Operator
- AI Systems Administrator
- Junior GPU Cluster Administrator
- DevOps Engineer (GPU/AI)
- Data Center Technician (AI)