AI Operation: All Connected – Image Analysis
This diagram explains the operational paradigm shift in AI Data Centers (AI DC).
Top Section: New Challenges
AI DC Characteristics:
- Paradigm shift: Fundamental change in operations for the AI era
- High Cost: Massive investment required for GPUs, infrastructure, etc.
- High Risk: Greater impact during outages and increased complexity
Five Core Components of AI DC (left→right):
- Software: AI models, application development
- Computing: GPUs, servers, and computational resources
- Network: Data transmission and communication infrastructure
- Power: High-density power supply and management (highlighted in orange)
- Cooling: Heat management and cooling systems
→ These five elements are interconnected through the “All Connected Metric”
Bottom Section: Integrated Operations Solution
Core Concept:
📦 Tightly Fused Rubik’s Cube
- The five core components (Software, Computing, Network, Power, Cooling) are intricately intertwined like a Rubik’s cube
- Changes or issues in one element affect all other elements due to tight coupling
🎯 All Connected Data-Driven Operations
- Data-driven integrated operations: Collecting and analyzing data from all connected elements
- “For AI, With AI”: Operating the data center itself using AI technology for AI workloads
✅ Continuous Stability & Optimization
- Ensuring continuous stability
- Real-time monitoring and optimization
Key Message
AI data centers have five core components—Software, Computing, Network, Power, and Cooling—that are tightly fused together. To effectively manage this complex system, a data-centric approach that integrates and analyzes data from all components is essential, enabling continuous stability and optimization.
Summary
AI data centers are characterized by tightly coupled components (software, computing, network, power, cooling) that create high complexity, cost, and risk. This interconnected system requires data-driven operations that leverage AI to monitor and optimize all elements simultaneously. The goal is achieving continuous stability and optimization through integrated, real-time management of all connected metrics.
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Lechuck Park 