Exam Code: HPE3-CL10
Exam Name: NVIDIA AI Compute Foundations
Certification Provider: HP
Corresponding Certification: HP Certification
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HP HPE3-CL10 Exam Syllabus Topics:

SectionObjectives
Topic 1: NVIDIA AI Computing Fundamentals- Core concepts of accelerated computing
  • 1. Parallel processing concepts
    • 2. CPU vs GPU architecture overview
      - AI and machine learning workload basics
      • 1. Common AI workload types
        • 2. Training vs inference workloads
          Topic 2: GPU Architecture and Accelerated Computing- NVIDIA GPU fundamentals
          • 1. CUDA and acceleration concepts
            • 2. GPU memory and compute architecture basics
              - Performance optimization concepts
              • 1. Scaling AI workloads across GPUs
                • 2. Throughput vs latency considerations
                  Topic 3: AI Workloads and Use Cases- Enterprise AI adoption
                  • 1. Data pipeline considerations
                    • 2. Model lifecycle overview
                      - Industry AI applications
                      • 1. Natural language processing workloads
                        • 2. Computer vision workloads
                          Topic 4: AI Operations and Deployment- Security and governance basics
                          • 1. AI infrastructure security principles
                            • 2. Data governance considerations
                              - Infrastructure operations
                              • 1. Monitoring AI workloads
                                • 2. Resource allocation in GPU clusters
                                  Topic 5: HPE AI Infrastructure and Solutions- AI deployment environments
                                  • 1. Hybrid AI environments
                                    • 2. On-premises AI infrastructure
                                      - HPE AI portfolio overview
                                      • 1. AI-ready infrastructure design principles
                                        • 2. HPE GPU-accelerated systems

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