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