AI workloads force data centres to rethink cooling
KUALA LUMPUR: Southeast Asia’s accelerating data centre build-out and surging artificial intelligence (AI) workloads are driving demand for advanced cooling technologies, as higher computing densities push operators beyond conventional air-cooling systems.
Southeast Asia's rapid expansion of data centers, coupled with a surge in artificial intelligence workloads, is prompting the industry to reconsider cooling solutions. Conventional air-cooling systems are struggling as higher computing densities generate more heat, pushing operators to adopt more efficient thermal management systems.
TICA, a Chinese provider of thermal management and clean-air solutions, is capitalizing on this trend by offering integrated liquid and hybrid cooling systems to support high-density AI infrastructure. TICA's CEO stated that their integrated approach aims to help operators balance cooling performance, scalability, energy efficiency and water-conscious operations in the face of increasingly power- and cooling-intensive AI infrastructure.
The company has already deployed its integrated air-liquid cooling solutions in over 100 large-scale projects, including data centers for Amazon, Alibaba and TikTok. At the upcoming ENGINEER & MARVEX 2026 conference in Kuala Lumpur, TICA will showcase its integrated cooling solutions, addressing the growing demand for thermal management technologies as Southeast Asia accelerates its investment in AI and next-generation data center infrastructure.
Written by urgent.news from New Straits Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
