NVIDIA NCP-AIN study guide

The NVIDIA Certified Professional – AI Networking (NCP-AIN) is a professional credential aimed at engineers who design, build, and operate the accelerated network fabric underneath AI and HPC workloads. It suits data center network architects, infrastructure and platform engineers, solutions architects, and operations staff who work alongside GPU compute clusters and need to reason about how interconnect choices affect training and inference performance. Because NVIDIA positions its networking portfolio around accelerated networks for modern workloads, the exam's stated domain structure spans four equally weighted areas: Networking, Data Center, Artificial Intelligence, and Cloud Services. In practice that means a candidate should be comfortable with the building blocks NVIDIA groups under networking - DPUs as software-defined hardware accelerators for networking, storage, and security; Ethernet for performance, availability, and ease of use across a wide range of applications; InfiniBand for high-performance supercomputing, AI, and cloud data centers; networking software for optimized performance and scalability; and the network acceleration IO subsystem for GPU-accelerated data centers - and should be able to place those pieces inside data center, AI, and cloud service contexts. The NVIDIA NCP-AIN study guide has 4 sections and about 1,220 words.