Tag: ITOTConvergence

DC Digitalizations with ISA-95

Posted on by lechuck park

5-Layer Breakdown of DC Digitalization

M1: Sensing & Manipulation (ISA-95 Level 0-1)

  • Focus: Bridging physical assets with digital systems.
  • Key Activities: Ultra-fast data collection and hardware actuation.
  • Examples: High-frequency power telemetry (ms-level), precision liquid cooling control, and PTP (Precision Time Protocol) for synchronization.

M2: Monitoring & Supervision (ISA-95 Level 2)

  • Focus: Holistic visibility and IT/OT Convergence.
  • Key Activities: Correlating physical facility health (cooling/power) with IT workload performance.
  • Examples: Integrated dashboards (“Single Pane of Glass”), GPU telemetry via DCGM, and real-time anomaly detection.

M3: Manufacturing Operations Management (ISA-95 Level 3)

  • Focus: Operational efficiency and workload orchestration.
  • Key Activities: Maximizing “production” (AI output) through intelligent scheduling.
  • Examples: Topology-aware scheduling, AI-OEE (maximizing Model Flops Utilization), and predictive maintenance for assets.

M4: Business Planning & Logistics (ISA-95 Level 4)

  • Focus: Strategic planning, FinOps, and cost management.
  • Key Activities: Managing business logic, forecasting capacity, and financial tracking.
  • Examples: Per-token billing, SLA management with performance guarantees, and ROI analysis on energy procurement.

M5: AI Orchestration & Optimization (Cross-Layer)

  • Focus: Autonomous optimization (AI for AI Ops).
  • Key Activities: Using ML to predictively control infrastructure and bridge the gap between thermal inertia and dynamic loads.
  • Examples: Predictive cooling (cooling down before a heavy job starts), Digital Twins, and Carbon-aware scheduling (ESG).

Summary of Core Concepts

  • IT/OT Convergence: Integrating Information Technology (servers/software) with Operational Technology (power/cooling).
  • AI-OEE: Adapting the “Overall Equipment Effectiveness” metric from manufacturing to measure how efficiently a DC produces AI models.
  • Predictive Control: Moving from reactive monitoring to proactive, AI-driven management of power and heat.

#DataCenter #DigitalTransformation #ISA95 #AIOps #SmartFactory #ITOTConvergence #SustainableIT #GPUOrchestration #FinOps #LiquidCooling

With Gemini