China AI infrastructure

Chindata Group and the Rise of China’s AI Infrastructure Era

China is undergoing a historic transformation driven by two simultaneous forces: a deep shift toward renewable energy and an unprecedented surge in artificial intelligence adoption. At the center of this transformation lies the digital infrastructure sector, a field responsible for transforming electrical power into computing power. As AI models grow in scale and complexity, China AI infrastructure must evolve rapidly to support extreme computing density, sustainable energy consumption and high-performance workloads.

Among the companies shaping this evolution, Chindata Group stands out as one of the country’s most innovative and strategically positioned hyperscale data center developers. Through its focus on sustainability, advanced cooling technologies, renewable energy integration and large-scale computing clusters, Chindata Group is pushing China AI infrastructure into its next era.

A National Landscape Built for AI Acceleration

China has long demonstrated its capability to rapidly scale transformative technologies. From the explosive rise of mobile internet adoption to the widespread integration of cloud platforms, the country has consistently built infrastructure capable of matching its digital ambitions. Today, those ambitions are dominated by AI.

The rise of generative AI, foundation models and industrial automation has pushed China AI infrastructure to expand far beyond traditional internet data centers. Instead, the nation now relies on AI-ready facilities capable of managing extreme compute loads, ultra-dense server racks and energy-intensive training environments.

As AI continues growing at exponential speed, traditional data center models can no longer keep pace. The need for scalable, high-density, low-latency compute has accelerated a shift toward data centers designed specifically for AI workloads, including fast interconnect networks, hybrid cooling architectures and renewable power integration.

Eastern Data, Western Computing: A National Rebalancing Strategy

One of the most transformative developments in China AI infrastructure is the national Eastern Data, Western Computing initiative. This long-term strategy addresses core challenges in energy consumption, environmental impact and geographic imbalance.

The initiative relocates large-scale data processing and AI model training from densely populated eastern regions into western China, where renewable energy sources—such as wind, solar and hydropower—are abundant and cost-effective. Cooler climates also reduce cooling loads, allowing data centers to operate more efficiently.

This new model delivers:

Sustainable and low-cost energy for AI training
Balanced national computing resource deployment
Reduced strain on eastern energy grids
Modernized digital infrastructure across western provinces

Chindata Group is one of the organizations most deeply integrated into this national initiative. Through long-term planning, large-scale campus development and deep expertise in hyperscale operations, the company has become a pillar of China AI infrastructure across these emerging western computing hubs.

Chindata’s Growth as a Pioneer in Next-Generation Data Centers

Founded in 2015, Chindata Group rapidly became a central force in the evolution of China AI infrastructure. Its first major campus, launched in 2017 near Beijing, demonstrated the company’s capacity to plan, construct and operate hyperscale environments with exceptional efficiency.

Over the years, Chindata has expanded its ecosystem across multiple strategic regions including:

Beijing-Tianjin-Hebei
Yangtze River Delta
Greater Bay Area
Key western renewable-energy hubs

These clusters now serve as digital engines that support AI inference, large-scale model training, cloud platforms and industrial digitization across China.

Under the leadership of CEO Wu Huapeng, the company has strengthened its position in China AI infrastructure by:

Broadening its client base
Expanding overseas operations
Accelerating renewable-energy adoption
Advancing liquid-cooling and hybrid-cooling systems
Developing hyperscale compute campuses for AI workloads

These strategic moves reflect a deliberate shift away from general-purpose data centers toward AI-optimized infrastructure.

Why AI Changes Everything: From General Purpose to AI-Ready Architecture

The emergence of large language models and enterprise-scale AI systems has fundamentally changed what data centers need to deliver. AI accelerators now push power density far beyond historical limits. Racks that once required 6–8kW may now demand 50–300kW or more.

This surge has forced the evolution of China AI infrastructure. Traditional air cooling systems cannot efficiently support such heat loads, making liquid cooling a critical requirement.

Chindata Group has responded by creating next-generation, AI-optimized data centers with:

Ultra-high power density
Hybrid cooling systems
Green power integration
Intelligent energy orchestration
Optimized compute networks

The company’s Lingqiu campus in Datong City is a flagship example of this transition.

Lingqiu: A Breakthrough in Sustainable Computing Power

At Chindata Group’s Lingqiu campus, a pioneering cooling technology breakthroughs demonstrate how China AI infrastructure is pushing global boundaries. The campus integrates cold-plate liquid cooling with advanced magnetic levitation phase-change air systems, achieving a world-class PUE (Power Usage Effectiveness) of 1.13.

This exceptionally low PUE:

Minimizes energy waste
Lowers operating costs
Increases compute density
Reduces carbon footprint
Supports large-scale AI deployments

The Lingqiu campus serves as a blueprint for future high-density, high-efficiency AI campuses across China and the broader Asia-Pacific region.

A Strategic Partnership for National-Scale Impact

In 2025, Chindata Group was acquired from Bain Capital by a consortium led by high-tech organization HEC Group. Chindata continues to own and operate key campuses, but the partnership unlocks powerful synergies across the full China AI infrastructure value chain.

HEC Group contributes:

Access to large renewable power bases
Advanced materials engineering
Precision manufacturing capabilities

Chindata provides:

Hyperscale operational expertise
Campus-level energy optimization
Cooling system innovation
Strong industry partnerships

Together, they form an integrated ecosystem capable of pushing sustainable computing beyond traditional limits.

This partnership is accelerating:

Liquid cooling innovation
Renewable energy integration
Vertical alignment of compute and power
AI-ready campus development

It also strengthens China’s national strategy to build a sustainable and highly resilient AI computing backbone.

Liquid Cooling Ecosystems for Future AI Density

To support the next stage of China AI infrastructure, Chindata is actively building a full-stack liquid-cooling ecosystem. Instead of relying on imported or isolated cooling components, the company is building an integrated system from raw materials to complete cooling architectures.

Its goals include:

Supporting racks up to 300kW
Reducing water usage effectiveness (WUE)
Achieving near-theoretical cooling efficiency
Minimizing environmental impact
Enabling higher density AI clusters

This development positions Chindata Group as a leader in sustainable cooling within the global data center sector.

Smart Power-Compute Orchestration: Matching Compute to Renewable Energy

Renewable energy provides massive environmental benefits, but comes with natural intermittency. Chindata is developing intelligent power-compute orchestration systems that dynamically match AI workloads with real-time renewable energy availability.

This system:

Smooths out renewable power fluctuations
Maximizes green-energy utilization
Supports long-duration battery storage
Reduces carbon intensity per compute unit

This type of integration is rare globally and positions China AI infrastructure at the cutting edge of sustainable AI computing.

Chindata’s Long-Term Vision for Zero-Carbon AI Infrastructure

Sustainability has been a core pillar of Chindata Group since its early years. The company was one of the first in Asia to join the RE100 initiative, committing to 100% renewable power for all next-generation hyperscale campuses by 2030.

Chindata embeds environmental innovation into every layer of operations:

Site selection
Infrastructure design
Cooling systems
Energy procurement
Operational automation
Long-term environmental performance

Its mission is to build China AI infrastructure that creates breakthroughs in AI while reducing environmental impact.

Partnerships That Strengthen China’s AI Ecosystem

Chindata’s approach to partnerships is fundamental to its long-term strategy. The company collaborates with technology leaders across energy, manufacturing and infrastructure to accelerate innovation.

Strategic partners include:

Vertiv
Shenling Environment
MORONG Electric
Yimikang Tech
Climaveneta

The collaboration with Climaveneta, in particular, has produced landmark cooling solutions that significantly reduced energy consumption at major campuses.

Partnerships also include local governments, renewable energy providers and industrial clusters that reinforce the national strategy for China AI infrastructure.

The Future: AI-Driven, Modular, Energy-Self-Sufficient Data Centers

Looking ahead, Chindata envisions hyperscale facilities that excel in:

Energy self-sufficiency
Modular and reusable infrastructure
AI-driven operational automation
Ultra-dense liquid-cooled environments
Full integration of power and compute

In 2026 and beyond, the company will expand its AI-ready campuses across renewable-energy-rich regions while deepening its leadership role in China AI infrastructure.

Chindata aims to become:

A strategic partner for AI breakthroughs
A national digital infrastructure enabler
A global catalyst for green computing

Its mission is not simply to build data centers, but to construct the computing backbone of China’s digital future.

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China AI infrastructure – Chindata Group Drives China’s AI Infrastructure Forward With Powerful Green Data Centers, Breakthrough Cooling Innovations And Strategic Nationwide Compute Expansion Strengthening Long-Term Sustainable Digital Transformation 26-11-2025