The 6 data center wonders of the Asian world herald a strong AI infrastructure

Asia is rapidly establishing itself as a powerhouse for AI infrastructure, with major tech companies developing sophisticated data centers optimized for artificial intelligence workloads. These facilities are not merely storage warehouses, but computational hubs designed specifically for the intense processing demands of AI model training and inference. The strategic positioning of these centers across China, Japan, Singapore, and India reflects both the region’s growing technological ambitions and its evolving role in the global AI landscape.

1. Alibaba Cloud Zhangbei data center (China)

• This advanced facility supports Alibaba’s extensive AI model training and cloud services operations through cutting-edge liquid cooling technology that significantly reduces energy consumption while boosting computing efficiency.
• The center incorporates AI-based workload optimization systems that dynamically manage power distribution and processing speeds.
• Alibaba Cloud has positioned this facility as a cornerstone of its sustainability commitment, with aims to achieve carbon neutrality by 2030.

2. GDS Data Center Campus (China)

• Located in Beijing, this hyperscale campus is specifically designed to handle high-density AI workloads with low-latency connectivity to major cloud providers.
• The facility features AI-driven cooling systems that continuously analyze environmental conditions in real-time to maximize energy efficiency.
• It serves as crucial infrastructure for AI processing and machine learning applications throughout China’s technology ecosystem.

3. NTT DATA AI data center (Japan)

• This Tokyo-based facility offers AI-as-a-Service (AIaaS), enabling businesses to implement machine learning applications without major infrastructure investments.
• The center supports digital twin technology, powering AI-driven simulations for manufacturing, urban planning, and other industrial applications.
• It represents Japan’s growing commitment to developing domestic AI infrastructure capabilities.

4. ST Telemedia Global Data Centers AI Hub (Singapore)

• This Singapore-based AI-optimized facility is equipped with high-performance GPUs from Nvidia and AMD specifically for AI model training and deep learning applications.
• The center employs liquid immersion cooling technology to reduce heat output and improve energy efficiency.
• It plays a strategic role in supporting AI startups, financial institutions, and research organizations throughout Singapore’s technology ecosystem.

5. Microsoft Azure AI data center (India)

• Located in Hyderabad, this facility represents one of India’s most significant AI infrastructure investments, hosting supercomputing clusters optimized for generative AI and large-scale model training.
• The center supports Microsoft’s key AI services including Azure OpenAI and AI-powered analytics.
• It integrates with Microsoft’s multi-cloud ecosystem, providing businesses with flexible and secure AI deployment options.

6. SoftBank AI data center (Japan)

• This Osaka facility, repurposed from a former Sharp LCD panel plant, is scheduled to begin operations in 2026 with a substantial 150-megawatt power capacity.
• SoftBank has partnered with OpenAI to establish this center as a major AI computing hub in the Asia-Pacific region.
• The facility will support AI training, large-scale machine learning workloads, and cloud AI services across various industry sectors.