As the adoption of artificial intelligence (AI) accelerates across industries in the Asia Pacific region, data centres are facing unprecedented pressure to adapt and keep up with the demands of modern AI systems. Traditional facilities, built for earlier generations of computing, are struggling to meet the heavy energy use and cooling requirements of these powerful machines.

The Rise of Purpose-Built ‘AI Factories’

By 2030, GPU-driven workloads could push rack power densities toward 1 MW, making incremental upgrades no longer sufficient. Instead, operators are turning to purpose-built ‘AI factory’ data centres designed from the ground up to handle the intense demands of AI computing. These next-generation facilities require smarter infrastructure strategies that combine high-capacity power systems, advanced thermal management, and integrated, scalable designs.

Paul Churchill, Vice President of Vertiv Asia, emphasizes the need for a future-ready strategy: “Infrastructure leaders must move beyond piecemeal upgrades. A future-ready strategy involves adopting AI-optimised infrastructure that combines high-capacity power systems, advanced thermal management, and integrated, scalable designs.” This approach is essential to meet the growing demand for high-performance computing environments powered by dense GPU clusters.

Addressing Cooling and Power Challenges

Rack densities are increasing rapidly, from 40 kW to 130 kW, and potentially up to 250 kW by 2030. This surge in power consumption is putting a strain on traditional air cooling methods, which are no longer sufficient for these conditions. To address this challenge, Vertiv is developing hybrid cooling systems that mix direct-to-chip liquid cooling with air-based solutions.

These advanced systems can adjust to changing workloads, reduce energy use, and maintain reliability. For example, Vertiv’s coolant distribution units enable direct-to-chip liquid cooling while ensuring reliability and serviceability in high-density environments. Power delivery is also becoming more complex, as AI workloads fluctuate rapidly, requiring infrastructure that can react in real time.

The Path to Sustainability

To meet the growing demand for data centre capacity, operators must adopt sustainable and scalable infrastructure strategies. This includes intelligent monitoring to manage loads more efficiently, reduce wasted capacity, and extend uptime – a critical consideration in parts of Southeast Asia where power grids are less stable.

By embracing AI-optimised infrastructure, the Asia Pacific region can unlock the full potential of its data centres and support the continued growth of industries that rely on AI. As Churchill notes, “Our goal is to provide the most efficient and reliable infrastructure solutions for our customers, ensuring they can operate at peak performance while minimizing their environmental footprint.” By taking a proactive approach to data centre design and infrastructure, Asia Pacific can stay ahead of the curve and reap the benefits of the AI revolution.

Inspired by

• https://www.artificialintelligence-news.com/news/rising-ai-demands-push-asia-pacific-data-centres-to-adapt/

Sources

• unsplash.com
• ai-expo.net
• techexevent.com
• techforge.pub
• techforge.pub