The Southeast Asia Data Center Cooling & Thermal Management Summit 2027 will take place in Singapore on March 15 - 16, 2027. The event will bring together data center owners, operators, developers, investors, cloud and AI infrastructure companies, engineering partners, and cooling technology providers.

 

The Summit will provide a platform to discuss market developments, high-density cooling, liquid cooling, energy and water efficiency, system design, project delivery, commissioning, and long-term operations. Participants will have the opportunity to exchange practical experience and explore solutions for the development of reliable and efficient data centers in Southeast Asia.

 

Why Attend:

1, Understand how AI demand is reshaping data center development, market roles, and infrastructure priorities across Southeast Asia.

2, Explore practical strategies for cooling 100kW+ racks in tropical environments.

3, Compare air, hybrid, and liquid cooling architectures for high-density AI and GPU workloads.

4, Learn how to balance PUE, WUE, energy, water, carbon, and reliability targets.

5, Hear real-world insights on system design, redundancy, commissioning, retrofits, and long-term operations.

6, Meet the decision-makers, engineers, and technology partners shaping Southeast Asia’s AI-ready data center capacity.

 

Key Topics on the Agenda:

 

AI & High-Density Infrastructure

  • The Thermal Management Challenges of 100 kW+ Racks
  • Unlocking More AI Capacity from Every Megawatt Through Cooling Efficiency
  • System Design for Mixed Rack Densities from 20 kW to 100 kW+
  • Next-Generation AI Processor Cooling: From Chip to Rack

 

Sustainable Cooling in Tropical Markets

  • Year-Round Cooling Efficiency and Operational PUE
  • Low-Water Cooling & WUE Management
  • Balancing Energy, Water & Carbon Targets
  • Water Quality Management and Cooling Reliability

 

Liquid Cooling & Thermal Innovation

  • Air, Hybrid or Liquid Cooling?
  • Intelligent Thermal Management & Dynamic Controls
  • Liquid Cooling Operations and Long-Term Reliability
  • Scaling Liquid Cooling Beyond Pilot Deployments

 

Design, Delivery & Operations

  • Global Standards, Modular Design & Southeast Asian Supply Chains
  • Commissioning and Acceptance Testing for High-Density Cooling
  • CFD & Digital Twins for Cooling Design and Retrofits
  • Cooling Retrofit Pathways for AI & GPU Clusters

 

The Summit will also explore how AI demand is reshaping data center development, site selection, power availability, cooling infrastructure, sustainability requirements and investment decisions across Southeast Asia.

 

Who Should Attend:

Data Center Operators | Developers | Hyperscalers | AI Infrastructure | Cloud Providers | Cooling & HVAC | Engineering & Design | Construction | Facilities | Sustainability | Energy & Water | Chip & Server Manufacturers | Investors

 

With discussions spanning strategy, engineering, technology selection and operational performance, the event offers a focused platform to exchange practical experience, benchmark solutions and explore partnerships for the next phase of Southeast Asia’s data center growth.

 

Join us and help shape the future of AI-ready data center cooling in Southeast Asia.

 

Register your interest: https://www.ecv-events.com/SEADCC2027?cci=45

Sponsorship enquiries: marketing@ecvinternational.com

Follow us on LinkedIn:

https://www.linkedin.com/showcase/europe-data-center-forum

 

About the Organizer

The Summit is organized by ECV International. Established in 2010, ECV International is a leading organizer of high-end international conferences. Over the years, ECV has organized a portfolio of summits across supply chain, sustainability, carbon neutrality, data centres, automotive, steel and other industries, bringing together senior executives and experts from most Fortune 500 and Forbes 2000 companies.

As the organizer of the Southeast Asia Data Centre Cooling & Thermal Management Summit 2027, ECV International brings together regional and international resources to create a focused platform for AI-ready data centre cooling in tropical climates.

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