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40FT Liquid Cooling Containerized Data Center | Modular/Prefabricated Data Center | Nvidia GB300 NVL72

40FT Container Data Center | Nvidia GB300 NVL72 × 4 Units

    Product Introduction

    • Product Introduction

      Product Introduction

    EXTRCOOL’s 40ft 40HQ liquid-cooled container data center is a high-density turnkey solution for AI, HPC and enterprise cloud workloads. It integrates IT, liquid cooling (cold plate/immersion), redundant power and monitoring as a prefabricated unit for rapid deployment. More energy-efficient than air-cooled centers with lower PUE, it supports ultra-high rack density and 24/7 stable operation. Industrial-grade build resists dust, humidity and vibration, with optimized layout cutting noise and maintenance. Modular and configurable, it’s ideal for expansion, edge sites and temporary projects.

    Technical Specifications

    Item

    Specification

    Product Model

    LL-Block40

    Container Standard

    40HQ ISO Container

    Internal Dimensions (L×W×H)

    1200 × 2350 × 2700 mm

    IT Cabinet Setup

    NVIDIA GB300 NVL72 × 4 Units

    Max Cabinet Power

    ≤ 150 kW per Cabinet

    Category

    Specification

    Cabinet Dimensions (L×W×H)

    600 × 1200 × 2200 mm

    Available IT Rack Space

    47U per Cabinet

    Specification

    Details

    AC Type

    Pumped Refrigerant In-Row AC with External Dry Cooler

    Cooling Layout

    Split-Type Pumped Refrigerant AC

    Per Cabinet Capacity

    70 kW

    Total Cooling Power

    210 kW (3 Units Configured)

    Attribute

    Description

    Power Framework

    N+1 Redundant Architecture

    Input Rating

    380VAC, 50Hz

    UPS System

    Modular UPS + Backup Battery + Integrated Power Supply

    Emergency Backup

    720KW / 15 Minutes (Battery maintenance required beyond 90 days)

    Feature

    Specification

    Monitoring Interface

    15.6-inch Touchscreen, Web Portal, Client, APP

    Environmental Monitoring

    AC, Power, UPS, Temp, Leakage, Smoke, Door, Fire Alarm Integration

    Smart Management

    Battery Inspection, Video Surveillance, E-Door Control, Asset Tracking, GPS, 3D Visualization

    Fire Suppression

    Seven-Gas Automatic Extinguishing System

    Detection Suite

    Smoke Sensors, Fire Alarms, Manual Emergency Switches, Post-Exhaust Smoke System, Early Smoke Washing Detection

    Core Advantages

    • 1. Rapid Deployment & Adaptive Scalability Factory-validated and pre-tested, the EXTRCOOL container data center deploys in weeks rather than months. Designed for easy relocation and redeployment, it adapts seamlessly to evolving business requirements. Full compatibility with NVIDIA GB300, GB200, B300, B200, and H200 platforms ensures instant readiness for AI and HPC workloads.
    • 2. Energy Efficiency & Cost Leadership Advanced liquid cooling technology cuts cooling-related energy consumption by a significant margin compared to air cooling, directly lowering operational expenses (OPEX) and total cost of ownership (TCO). Optimized thermal management delivers superior energy efficiency—critical for high-power NVIDIA GPU loads—driving substantial savings on utility bills and infrastructure upgrades.
    • 3. High-Density Expansion The solution supports extreme IT power loads and scales effortlessly through the addition of modular containers, enabling fast capacity expansion without major site construction. As computing demands grow, the system can be upgraded to support multi-GPU configurations and next-generation AI clusters utilizing GB200, B300, and B200 hardware.
    • 4. Rugged Environmental Resilience The hermetically sealed container design, combined with precision liquid cooling, ensures stable operation in harsh environments—including high temperatures, dusty locales, and remote regions. Whether deployed at edge computing sites or in environmentally stressed areas, it guarantees reliable performance for NVIDIA's flagship high-performance hardware.
    • 5. Compact & Mobile Flexibility Engineered for space efficiency and portability, it is ideal for edge computing, disaster recovery, and temporary deployments where space, power efficiency, and rapid mobility are paramount. The containerized form factor allows quick relocation to new sites, empowering businesses to expand NVIDIA-powered infrastructure without the constraints of traditional brick-and-mortar data centers.

    Deployment Guidelines

    Selecting the optimal data center container requires careful evaluation of key factors:

    • Capacity Planning: Match power and cooling specifications to current and projected IT loads.
    • Sizing: Choose a container dimension that aligns with available physical space and deployment logistics.
    • Feature Set: Prioritize critical capabilities such as advanced security, specific cooling technologies, and intelligent management.
    • Vendor Expertise: Partner with a reputable provider with a proven track record in delivering high-quality, integrated data center solutions.
    • Total Cost of Ownership: Compare pricing models, including deployment costs, maintenance, and energy expenses, to ensure optimal value.

    Standard Deployment Process

    • Site Readiness: Prepare the deployment location with stable power, network connectivity, and foundational support.
    • Container Logistics: Transport the prefabricated data center to the site via approved carriers.
    • On-Site Setup: Install the container and connect to utility, cooling, and network resources.
    • System Validation: Conduct comprehensive testing to verify all components and systems.
    • IT Integration: Install and configure your NVIDIA GPU servers and computing hardware.
    • Commissioning: Activate the data center and transition business operations to the new infrastructure.

    Industry Evolution & Future Trends

    The modular data center market is rapidly evolving with several transformative trends:

    • Edge Computing Dominance: Containerized data centers are pivotal for edge deployments, delivering low-latency compute and storage at the network perimeter.
    • Liquid Cooling Standardization: Direct liquid cooling is becoming the industry standard to manage the rising power density of modern AI hardware.
    • Sustainable Design: Green data center solutions integrating renewable energy sources and hyper-efficient cooling are gaining global traction.
    • AI-Driven Orchestration: Artificial intelligence and machine learning are automating the management, monitoring, and resource allocation of containerized data centers for optimal performance.

    Shipping & After-Sales Policy

    Shipping Terms

    • 1.Order Fulfillment: Shipments are processed on a first-in, first-served basis upon receipt of full payment.
    • 2.Customs Compliance: Customers are responsible for customs delays or returns due to incomplete documentation. It is advised to verify local clearance requirements and prepare all necessary paperwork in advance.

    Return & Exchange Policy

    • 1.Domestic Customers: Returns or exchanges are available within 7 days of receipt, subject to quality department confirmation of product defects.
    • 2.Overseas Customers: Returns or exchanges are available within 15 days of receipt, subject to quality defect confirmation.
    • 3.Transportation Damage: Damage to outer packaging or abnormalities occurring during transit are not covered by this policy. Contact the freight company for claims; EXTRCOOL will provide supporting documentation.
    • 4.After-Sales Eligibility: Service is exclusively provided to direct purchasers. Third-party or dealer purchases must contact the original seller for support.
    • 5.Warranty Validity: The product must remain unaltered, undissembled, and unrepaired without prior EXTRCOOL authorization. Preserve original packaging and labels to maintain warranty coverage.

    Why EXTRCOOL?

    EXTRCOOL’s 40ft liquid-cooled container data center combines advanced thermal engineering, enterprise reliability and leading compatibility to unlock your NVIDIA GPU’s full potential, delivering a robust, efficient, future-proof solution for AI clusters, remote edge nodes and high-density data centers.

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