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