HP NVIDIA AI Compute Foundations : HPE3-CL10

  • Exam Code: HPE3-CL10
  • Exam Name: NVIDIA AI Compute Foundations
  • Updated: Aug 25, 2026     Q & A: 0 Questions and Answers

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HP HPE3-CL10 Exam Syllabus Topics:

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

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