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OT-00203 · 20英尺液冷集装 · AI数据中心 / 数据中心集装箱与方舱 · 1468655647199166464
直接取自厂商产品规格书,未经改写,可作为选型依据引用。
| 产品名称 | 20英尺液冷集装箱数据中心 |
|---|---|
| Product Name | 20FT Liquid-Cooled Containerized Data Center |
| 产品分类 | 数据中心集装箱 |
| 应用领域 | AI数据中心、超大规模计算集群、边缘计算、模块化数据中心、云计算 |
20-foot liquid-cooled data center container is a modular solution that highly integrates servers, liquid cooling systems, and auxiliary infrastructure into a standard shipping container. It enables rapid deployment and achieves ultra-low energy consumption, with a PUE as low as 1.15.Designed for high-density, rapidly deployable infrastructure, it meets the growing demands of Artificial Intelligence (AI) computing, High-Performance Computing (HPC), and next-generation data center workloads. This fully integrated, prefabricated system offers a flexible and sustainable choice for the era of high
• Optimized for NVIDIA Systems • This solution is fully compatible with a range of NVIDIA’s powerful server models, including GB300/GB200, B300/B200, H100/H200 , Pro6000 ensuring that the containerized system can seamlessly support high-performance computing tasks, AI workloads, and other demanding applications that leverage NVIDIA’s cutting-edge technology. • Advanced Thermal Management & Energy Efficiency • Designed to handle extreme heat dissipation, the system supports direct-to-chip and immersion liquid cooling architectures, ensuring the stable operation of high-power servers while dramatically reducing cooling energy consumption compared to traditional air-cooled data centers. The advanced liquid cooling mechanism provides targeted thermal management, lowering operational costs and improving sys • Fully Integrated for Quick Deployment • The fully integrated containerized data center includes power distribution, cooling systems, monitoring, fire protection, and security, allowing for rapid on-site deployment with minimal construction requirements. With factory pre-assembly and testing, this solution guarantees consistent quality, reduced deployment risk, and significantly shortened time to operation. • This containerized data center is particularly well-suited for edge computing, AI clusters, cloud expansion, and remote or temporary deployments. Its compact design and abi