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