CONTAINER DATA CENTER

A container data center which have been increasingly adopted as AI datecenters these days, differs from conventional building-type data centers in that it utilizes modular facilities such as repurposed shipping containers or compact prefabricated buildings. Compared to traditional data centers, container data centers offer cost efficiency and rapid construction and operation.

Key Features of Container and Modular Data Centers

Rapid Deployment: Compared to traditional data centers, they can be constructed in a shorter period.
Scalable Modular Design: Resources can be added in modular units, allowing for quick expansion in response to growing demand.
Cost Efficiency: Reduces construction costs and also optimizes operational costs through remote or automated management.
High-Density Power Support: Designed to handle high-density power requirements in smaller server spaces, making them ideal for AI and high-performance computing applications.

standard edge container data center – Source: Shinohara Electric Co., Ltd.

New Possibilities for AI with Container and Modular Data Centers

Containers and modulars are chosen not just for cost or construction benefits but for their adaptability to AI-specific needs. AI server racks require approximately 100kW per rack, whereas conventional data center racks typically consume around 8–10kW. AI systems require more compact server room spaces but significantly higher power densities—over ten times that of conventional setups.

	AI Data Center	Traditional Data Center
Cooling Method	Liquid or immersion cooling	Air cooling
→Key Challenge	Conventional DCs lack infrastructure for liquid coolant-based cooling.
Power Per Rack	100kW or more	8~10kW
Rack Count for 2MW	10–20 racks	150~300 racks
→Key Challenge	AI systems require separate spaces due to different heat design. Conventional large data hall designs make laege excess physical space.

Steps to Build a Container and Modular Data Center

Business Planning & Due Diligence

Select required GPU servers based on business needs and outline the data center infrastructure.
Conduct a detailed survey of power, water quality, fiber infrastructure, and environmental conditions at potential sites.

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Selection & Design

Choose necessary equipment, including containers, cooling systems, power supply systems, and network devices.
Consolidate vendor blueprints and finalize an integrated detailed design.

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Procurement & Construction

Procure necessary equipment and collaborate with vendors for installation.
Manage procurement schedules and personnel allocation for efficient implementation.

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Operation & Management Support

Deploy operational teams to achieve target availability and reliability once the data center is operational.

Supporting AI-Focused Container Data Center Development with Optimal Solutions

RSI provides end-to-end support for the rapid launch, operation, and expansion of AI-focused modular or container data centers. Leveraging our extensive experience with traditional data centers, we deliver tailored infrastructure to meet AI computing needs.

Fundamental Design & Site Selection

Assist in defining the basic design and specifications of AI-oriented modular data centers based on business requirements.
Select optimal cooling systems and power supply solutions for GPU servers and identify suitable sites.
Collaborate with multiple vendors to select the best container, cooling, network, and power supply systems.

Vendor Selection Support

Support the entire process from RFQ document preparation to vendor selection and contract negotiation.
Utilize expertise from traditional data center projects to ensure smooth project execution.

Operational Support & Management

Provide on-site or remote operational personnel based on requirements.
Develop long-term operational plans, including system scalability for future use cases.

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RSI is proud to provide a range of services in the data center industry, from planning and construction to operations and management.
Our bilingual services cover every aspect of network and data processing services. We can help you integrate your solutions into the future of computing.