NCA-AIIO Exam Dumps : NVIDIA-Certified Associate AI Infrastructure and Operations

The DGX A100 system includes eight Mellanox ConnectX-6 Single Port VPI cards, providing high-speed connectivity (up to 200 Gb/s) for clustering and data transfer. These cards support versatile protocols (InfiniBand or Ethernet), enabling robust multi-node AI workloads, with eight being the standard configuration for this system.

(Reference: NVIDIA DGX A100 System Documentation, Networking Section)

NVIDIA Merlin is a specialized, end-to-end framework engineered for building and deploying large-scale recommender systems. It streamlines the entire pipeline, including data preprocessing (e.g., feature engineering, data transformation), model training (using GPU-accelerated frameworks), and inference optimizations tailored for recommendation tasks. Unlike general-purpose tools for natural language processing or data analytics, Merlin is optimized to handle the unique challenges of recommendation workloads, such as processing massive user-item interaction datasets and delivering personalized results efficiently.

(Reference: NVIDIA Merlin Documentation, Overview Section)

A Data Processing Unit (DPU) is a programmable processor that offloads, accelerates, and isolates infrastructure workloads—like networking, storage, and security—from the CPU. This enhances performance, reduces CPU overhead, and improves security by segregating tasks, benefiting AI data centers. It doesn’t handle backups or physical infrastructure directly, focusing instead on compute efficiency.

(Reference: NVIDIA DPU Documentation, Overview Section)