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Intelligent Computing Center Construction Guide: Foundational Infrastructure for Large Model Computing Power rc
Understand why large models demand new hardware and how to architect the computing foundations that power them.
Visual Guide 5 min
Part One: Foundation and Core Components
Chapter 1: The Demands on Infrastructure in the Era of AI and Large Models
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Chapter 2: The Integration of Software Programs and Dedicated Hardware
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Chapter 3: GPU Hardware Architecture Analysis
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Chapter 4: GPU Server Design and Implementation
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Chapter 5: The I/O Framework Architecture for Machine Learning
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Part Two: Cluster Construction and Virtualization
Chapter 6: GPU Cluster Network Design and Implementation
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Chapter 7: GPU Board-Level Compute Scheduling Technology
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Chapter 8: GPU Virtualization Scheduling Solutions
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Chapter 9: GPU Cluster Network Virtualization Design and Implementation
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Chapter 10: GPU Cluster Storage Design and Implementation
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Part Three: Application Platform and Operations
Chapter 11: Design and Implementation of a Machine Learning Application Development and Runtime Platform
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Chapter 12: Cloud Platform-Based GPU Cluster Management and Operations
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Part Four: Practical Cases and Summary
Chapter 13: A Practical Case Study of a GPU Computing Platform Serving Machine Learning
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Epilogue
Epilogue: The Foundation of Intelligence, and the Horizon Ahead
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