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Xinda Technology is a specialist in liquid cooling connection solutions, specializing in the manufacture of high-performance, safe, and reliable liquid cooling quick-connect fittings.
Solutions
Xinda Technology’s products are widely used in high-end manufacturing sectors such as data centers, energy storage systems, new energy vehicles, defense and aerospace, radar equipment, and industrial equipment.
Thermal Management Challenges in the Era of Computing Power
Explosive growth in computing power
AI and cloud computing are driving a sharp increase in power density, and traditional air-cooling methods—constrained by the laws of physics—are no longer sufficient to meet the thermal management demands of today’s high-density deployments.
Energy Consumption and Cost Pressures
Air-cooling systems consume a lot of energy, generate significant noise, and are inefficient in high-density environments, resulting in persistently high PUE values and significantly driving up the long-term operating costs of data centers.
The Rise of Liquid Cooling Technology
Liquid cooling is dozens of times more efficient than air cooling. It effectively addresses high-density challenges and reduces PUE, making it the obvious choice for achieving green, efficient, and sustainable data center operations.
About Us
Headquartered in Huizhou, Guangdong, Huizhou Xinda Technology Co., Ltd. operates a modern manufacturing facility and state-of-the-art R&D and testing centers, ensuring that all products consistently meet stringent quality standards.
The company specializes in the R&D, manufacturing, and sales of liquid cooling connectors and liquid cooling hardware. Leveraging its deep expertise in liquid cooling technology, Xinda is committed to providing high-performance thermal management solutions to customers worldwide.
Xinda Technology focuses on high-growth sectors such as AI computing, data centers, and new energy. Through continuous innovation, the company delivers efficient and reliable liquid cooling solutions that help customers maximize performance while optimizing overall costs.