Study guide
NVIDIA NCA-AIIO study guide
Read a lesson, then practice the ideas you want to remember.
Lessons
- BlueField DPUs, Power, Cooling & SuperPOD Sc
- Data Center Facility Requirements & Site Rea
- AI Data Center Networking: InfiniBand & Spec
- NVIDIA DGX Systems & HGX Architecture — Free Study Guide 2026
- On-Premises vs. Cloud AI Infrastructure & DG
- Why AI Adoption Accelerated: Data, Compute &
- AI, Machine Learning & Deep Learning Workloa
- Key AI Use Cases Across Industries — Free Study Guide 2026
- Exam Structure, Logistics & Certification Ro
- Training vs. Inference Computational Profile
- CUDA Programming Model & Hierarchy — Free Study Guide 2026
- GPU Memory Hierarchy & Bandwidth — Free Study Guide 2026
- GPU vs. CPU Architecture & Parallel Executio
- High-Bandwidth Memory & Memory Reliability
- Numerical Precision Formats & Transformer En
- Streaming Multiprocessors & Tensor Core Evol
- Multi-Instance GPU Architecture & Profiles
- Multi-Tenant Workload Isolation & Resource S
- NVIDIA vGPU Software & Virtualization Models
- Distributed Training Interconnects & NCCL Co
- GPUDirect Technologies: P2P, RDMA & Storage
- PCIe, NVLink Generations & NVSwitch Architec
- Software Components Across the AI Developmen
- CUDA-X Libraries & Accelerated Computing
- NVIDIA AI Enterprise & NeMo Framework — Free Study Guide 2026
- The NVIDIA Solution Portfolio: Domain Platfo
- TensorRT, TensorRT-LLM & NIM Microservices
- AI Data Center Management: Base Command Mana
- DCGM Health Checks, Diagnostics & Prometheus
- GPU Telemetry, nvidia-smi & DCGM Architectur
- Triton Inference Server Architecture & Deplo
- NVIDIA Container Toolkit & Kubernetes GPU Op
- NVIDIA Run:ai Architecture & Dynamic Orchest
- AI Workload Scheduling: Slurm & Kubernetes