Product OverviewEXTRCOOL's 20 ft containerized liquid-cooled data center is a compact, high-density turnkey computing solution designed for AI, high-performance computing (HPC) and modern data center workloads. Housed in a standard 20-foot ISO container, the prefabricated unit integrates power, cooling, monitoring and safety to deliver thermal efficiency, energy savings and scalable performance in a space-saving footprint.
Universal NVIDIA Compatibility- Fully compatible with NVIDIA enterprise GPUs (GB300/GB200/B300/B200/H200) for AI, HPC and high-load workloads.
- Advanced liquid cooling: direct-to-chip and immersion options reduce energy use, lower PUE and support continuous GPU operation.
- Rapid plug-and-play deployment: factory-integrated unit (power, cooling, monitoring, safety) deploys in weeks with no major construction.
- Versatile deployment: compact, high-density design suitable for edge computing, AI clusters, remote sites and temporary projects.
Core Advantages Over Traditional Data Centers- Rapid deployment: factory-built and pre-tested, deployable in weeks and relocatable to match changing requirements.
- On-demand scalability: expand capacity by adding modular containers to accommodate growing AI and HPC workloads.
- Cost efficiency: lower upfront and operational costs compared with conventional brick-and-mortar data centers, with reduced energy bills from liquid cooling.
- Flexible deployment: installable at remote locations, rooftops, temporary sites and edge environments without major construction.
- Superior energy efficiency: liquid cooling minimizes cooling power consumption and reduces environmental impact.
Core Integrated Components- Brand: EXTRCOOL
- Power infrastructure: redundant PDUs and modular UPS systems for reliable, uninterrupted power delivery.
- Thermal management: high-efficiency liquid cooling systems (direct-to-chip and immersion) for extreme heat dissipation.
- Racking solutions: customized server racks optimized for high-density NVIDIA GPU deployments.
- Fire safety: automatic clean-agent fire suppression systems for equipment protection.
- Physical security: locked access doors, surveillance cameras and access control integration.
- Intelligent monitoring: real-time monitoring and management platforms for visibility into data center health and performance.
Ideal Use Cases- AI and large-scale model training: power high-performance AI clusters for LLM training and inference.
- High-performance computing (HPC): support scientific computing, engineering simulation and computational research.
- Edge computing and telecommunications: deploy low-latency computing at the network edge for 5G/6G and IoT applications.
- Remote and industrial environments: reliable operation in remote, harsh or infrastructure-limited locations.
Return & After-Sales Policy- Domestic buyers: eligible for return or exchange within 7 days of delivery subject to technical confirmation of product quality defects.
- Overseas buyers: eligible for return or exchange within 15 days of delivery subject to technical confirmation of defects.
- Transportation damage: damage during transit is not covered; claims should be handled with the freight carrier and supporting documentation provided.
- After-sales eligibility: after-sales support provided to direct purchasers; orders via dealers or third parties must be serviced by the original seller.
- Warranty validity: unauthorized disassembly, modification or repair voids the warranty; retain original packaging and labels to maintain coverage.
Technical Specifications- Brand: EXTRCOOL
- Form factor: standard 20-foot ISO container
- Compatibility: NVIDIA enterprise GPUs (GB300/GB200/B300/B200/H200)
- Cooling technologies: direct-to-chip and immersion liquid cooling
- Deployment: factory-integrated, plug-and-play; deploys in weeks
- Power: redundant PDUs and modular UPS systems
- Racking: customized high-density GPU server racks
- Safety: automatic clean-agent fire suppression systems
- Security: locked access doors, surveillance cameras, access control systems
- Monitoring: real-time intelligent monitoring and management platforms
- Primary use cases: AI training/inference, HPC, edge computing, remote and industrial deployments