NCP-AIO is NVIDIA's professional certification for running AI infrastructure day to day. The exam is 120 minutes long and combines 30 multiple-choice questions with three hands-on lab exercises. The lab environment spins up automatically when the exam starts, and both parts have to be finished inside the same 120 minutes. It costs $500, is English only, needs a Certiverse account, and is valid for two years, after which you retake it.
NVIDIA recommends two to three years of experience operating NVIDIA hardware in a data centre. The four domains are installation and deployment (31%), administration (23%), workload management (23%) and troubleshooting and optimization (23%). Installation is mostly Base Command Manager, NVIDIA's cluster manager: node health, firmware and image updates, user management, node categories, plus installing Kubernetes, Slurm and Run:ai and deploying DOCA services on BlueField DPUs. Mission Control also gets a mention. Administration covers Slurm, Kubernetes, Run:ai and MIG.
Workload management is deploying training and inference jobs across all three schedulers, allocating GPUs between teams and pulling containers from NGC. Troubleshooting covers Docker, the Fabric Manager service on NVLink and NVSwitch systems, Base Command Manager itself, Magnum IO and storage performance. The labs are the reason I rate this above NVIDIA's other professional exams. Most AI certifications, from every vendor, are multiple-choice recall, and recall is a poor test of whether someone can bring a broken node back into a Slurm partition at 2am. NCP-AIO is not a full practical exam, but three live tasks is a meaningful step in the right direction.
The blueprint is also refreshingly close to real operations work. GPU sharing between teams, MIG and storage bottlenecks are the problems that eat an infrastructure team's week. The catch is lock-in. Base Command Manager, Run:ai (which NVIDIA bought) and Mission Control run through the whole thing. If your organisation runs GPUs on a managed cloud Kubernetes service with open source tooling, you will be studying products you do not use.
The price is also hard to justify for self-funded candidates: $500 every two years, plus a workshop whose price NVIDIA does not show on the certification page. My view: for an employer-funded engineer on an NVIDIA DGX or BasePOD style cluster, NCP-AIO is the most credible NVIDIA certification available. For everyone else, start with the cheaper NCA-AIIO associate exam and learn Slurm and Kubernetes from free material before spending $500.