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NVIDIA-Certified Professional: AI Networking (NCP-AIN) Syllabus

AI Data Center Design and Optimization

Describing AI factory network architecture, rail-optimized topologies and GPU communication.

5%
Weight
4
Questions
5
Marks

AI factory architecture

  • GPUs, BlueField DPUs and switches in an AI factory
  • Scalable units
  • Compute and storage fabric roles
  • East-west versus north-south traffic

Topology and GPU communication

  • Rail-optimized topologies
  • GPU-to-GPU communication
  • RDMA concepts
  • Fabric bandwidth considerations

NVIDIA Spectrum Networking

Configuring Spectrum-X Ethernet for RoCE, QoS, multi-tenancy and telemetry.

30%
Weight
23
Questions
30
Marks

RoCE and congestion control

  • Configuring Spectrum-X switches for RoCE
  • QoS, ECN and PFC
  • Adaptive routing
  • SuperNIC packet processing and congestion control

Multi-tenancy and tooling

  • Multi-tenant BGP-EVPN
  • Installing NVIDIA DOCA
  • Simulating networks with DSX Air
  • Telemetry configuration

Monitoring

  • In-band telemetry for congestion and packet loss
  • What Just Happened (WJH) diagnostics
  • NetQ real-time monitoring
  • Latency measurement with NetQ

NVIDIA InfiniBand Networking

Provisioning and securing InfiniBand fabrics and managing congestion with UFM.

30%
Weight
22
Questions
30
Marks

Provisioning

  • Initial InfiniBand configuration
  • Subnet manager high availability
  • Partition keys (PKeys) for multi-tenancy
  • Fabric provisioning workflow

Performance and monitoring

  • InfiniBand QoS
  • Adaptive routing for congestion
  • UFM link status monitoring
  • UFM bandwidth utilization

Kubernetes Integration

Deploying and verifying the NVIDIA Network Operator for RDMA and InfiniBand in Kubernetes.

5%
Weight
4
Questions
5
Marks

NVIDIA Network Operator deployment

  • Deploying the Network Operator
  • RDMA interface management
  • InfiniBand interfaces in Kubernetes
  • Operator configuration

Verification

  • Verifying Network Operator functionality
  • Checking RDMA resources on pods
  • Validating secondary networks
  • Troubleshooting operator deployment

Troubleshooting Tools

Using Spectrum-X, UFM and InfiniBand utilities to diagnose fabric issues.

20%
Weight
15
Questions
20
Marks

Ethernet troubleshooting

  • cl-resource-query on Spectrum-X
  • WJH real-time event analysis
  • Verifying low-latency interconnects between GPUs, CPUs and storage
  • Interpreting telemetry data

InfiniBand troubleshooting

  • UFM system health
  • ibstat, ibnodes and iblinkinfo
  • ibdiagnet fabric diagnostics
  • ib_write_bw, ib_write_lat and ibping

Automation and Configuration

Automating Spectrum-X configuration with NVUE templates and Ansible.

10%
Weight
7
Questions
10
Marks

NVUE configuration

  • NVUE templates for Spectrum-X
  • Cumulus Linux configuration management
  • Applying and verifying configurations
  • Configuration rollback

Ansible automation

  • Writing Ansible playbooks
  • VLAN creation with Ansible
  • RoCE configuration with Ansible
  • Idempotent network automation

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Smart Flash Cards

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Timed Exams

Simulate real exam conditions with timed practice tests

  • Exam-like environment
  • Time management skills

Practice Tests

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  • Topic relationships

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Learning Progress

AI Data Center Design and Optimization 85%
NVIDIA Spectrum Networking 92%

Practice Test Scores

95%
Latest Score
Above passing threshold

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