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Intelligent Computing Center Operations in Practice: Full-Stack Optimization from Infrastructure to Large Models rc
Master full-stack optimization from GPU infrastructure to large models as an AI infrastructure engineer running real workloads.
Visual Guide 5 min
Introduction
Introduction
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Part One: Foundation -- Intelligent Computing Hardware and Network Architecture
Chapter 1: The New Paradigm of the Intelligent Computing Center (AIDC)
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Chapter 2: The Dual-Core Ecosystem: NVIDIA and Huawei Ascend
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Chapter 3: The Highway for Large Models -- High-Performance Networking and Storage
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Part Two: Base Layer -- Building a Cloud-Native AI Platform
Chapter 4: AI Containerization Technologies
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Chapter 5: AI Task Scheduling and Resource Management
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Part Three: Core -- Model-Computing Power Matching and Full-Stack Optimization
Chapter 6: Full-Process Operations for Large Model Training
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Chapter 7: Precise Compute Demand Calculation
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Chapter 8: Inference Acceleration and Serving
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Part Four: Insight -- Observability and Fault Self-Healing
Chapter 9: Building a Full-Link Monitoring System
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Chapter 10: Common Troubleshooting and SRE Practices
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Part Five: System -- Two-Tier Operations and Future Outlook
Chapter 11: Designing a Two-Tier AIDC Operations System
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Chapter 12: LLMOps and the Future of AI Infrastructure
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Appendix
Appendix
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