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Starts 7 June 2025 00:21

Ends 7 June 2025

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Modular OCP-based Direct Liquid Cooling Infrastructure for Future AI Applications

Explore innovative direct liquid cooling solutions for AI data centers, featuring modular OCP-based designs that optimize performance through advanced LTA and LTL cooling systems.
Open Compute Project via YouTube

Open Compute Project

2484 Courses


12 minutes

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Overview

Explore innovative direct liquid cooling solutions for AI data centers, featuring modular OCP-based designs that optimize performance through advanced LTA and LTL cooling systems.

Syllabus

  • Introduction to Direct Liquid Cooling
  • Overview of Liquid Cooling Systems
    Benefits of Direct Liquid Cooling for AI Applications
    Key Concepts: Liquid-to-Air (LTA) and Liquid-to-Liquid (LTL) Cooling
  • Modular OCP-Based Designs
  • Open Compute Project (OCP) Overview
    Advantages of Modular Designs in AI Data Centers
    Case Studies of Existing Modular OCP Implementations
  • Designing Cooling Infrastructure for AI
  • Thermal Management Requirements in AI Data Centers
    Assessing Heat Loads and Cooling Needs
    Tools and Techniques for Designing Effective Cooling Architectures
  • Advanced LTA Cooling Systems
  • Principles of Liquid-to-Air Cooling
    Components: Heat Exchangers, Cooling Towers, and Radiators
    Optimizing Airflow and Minimizing Energy Consumption
  • Advanced LTL Cooling Systems
  • Principles of Liquid-to-Liquid Cooling
    Components: Secondary Loops, Heat Exchangers, Chillers
    Integration with Existing Data Center Infrastructure
  • Performance Optimization in Liquid Cooling
  • Monitoring Cooling Performance and Efficiency
    Use of AI and Machine Learning to Optimize Cooling Operations
    Case Studies Demonstrating Effective Cooling Optimization
  • Environmental and Economic Impacts
  • Sustainability and Energy Efficiency Considerations
    Cost-Benefit Analysis of Liquid Cooling Implementations
    Regulatory and Compliance Issues
  • Future Trends and Innovations
  • Emerging Technologies in Cooling Systems
    Impact of Future AI Developments on Cooling Infrastructure Needs
    Prospects for Next-Generation Cooling Solutions
  • Practical Applications and Lab Work
  • Hands-on Experience with Cooling System Components
    Simulation and Modeling of Direct Liquid Cooling Systems
    Real-world Case Studies and Problem-solving Activities
  • Course Summary and Project Presentations
  • Recap of Key Learnings
    Student Projects: Designing a Modular Cooling System for a Hypothetical AI Data Center
    Feedback and Assessment of Project Designs

Subjects

Programming