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HP HPE3-CL10 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Software and Ecosystem | 15% | - Frameworks, libraries and tools - Deployment and management - NVIDIA AI Enterprise software suite |
| Topic 2: Implementation and Best Practices | 10% | - Performance optimization - Sizing and planning - Security and reliability |
| Topic 3: GPU Architecture and Computing | 25% | - CUDA computing model - Multi-Instance GPU (MIG) technology - NVIDIA GPU architecture fundamentals |
| Topic 4: NVIDIA AI Compute Overview | 20% | - HPE and NVIDIA collaboration - AI fundamentals and use cases - NVIDIA AI technology portfolio |
| Topic 5: HPE AI Compute Solutions | 30% | - Hardware components and configuration - HPE ProLiant and Apollo systems for AI - HPE Cray supercomputing for AI/ML |
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