Modular Computing Hub With Docked Containers for Rapid Data Center Scaling
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Solution Overview
Problem
Current data centers face challenges in handling high network traffic and processing large volumes of simultaneous transactions, requiring scalable computing power and storage capacity, while also needing efficient cooling and power distribution systems to support massive parallel processing environments.
Innovation Solution
A modular data center design that includes interchangeable computing modules with integrated cooling and power distribution systems, allowing for rapid deployment and expansion, and can be easily transported and connected to form larger systems, supporting high-bandwidth networks and processing demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data centers are constructed to handle high network traffic and large volumes of transactions, then processing capacity and storage capacity increase, but construction time and cost increase
Solution Approach 1:
The data center is divided into multiple interchangeable computing modules, each containing processing devices, storage devices, cooling systems, and power distribution systems. These modular units can be independently manufactured and assembled, enabling parallel construction and rapid deployment to achieve high processing capacity without extended construction time
Solution Approach 2:
Computing modules are pre-assembled with integrated cooling and power distribution systems before deployment. This preliminary preparation allows modules to be quickly installed and connected upon arrival at the site, significantly reducing on-site construction time while maintaining full processing capacity
2Productivity
If data center capacity is expanded to support high network traffic, then computing power and storage capacity increase, but system complexity increases
Solution Approach 1:
The complex data center system is segmented into standardized computing modules with uniform interfaces for power, cooling, and data connections. This segmentation transforms a complex monolithic system into manageable, interchangeable units that simplify deployment, maintenance, and scaling operations
Solution Approach 2:
Each computing module is designed as a universal unit that can perform multiple functions including processing, storage, cooling, and power distribution. This multi-functionality reduces the variety of different components needed in the system, thereby reducing overall system complexity while maintaining high computing power
3Productivity
If massive parallel processing environments are implemented to handle large volumes of transactions, then processing capacity increases, but cooling requirements and power distribution complexity increase
Solution Approach 1:
Cooling systems and power distribution systems are merged into integrated assemblies within each computing module. This integration ensures that cooling and power components are pre-coordinated and optimized for their respective loads, reducing the complexity of managing these systems at the facility level while supporting massive parallel processing
Solution Approach 2:
The cooling and power distribution infrastructure is segmented into module-specific systems rather than centralized facilities. Each computing module contains its own cooling channels and power distribution components, allowing independent management and reducing the overall system complexity while enabling high transaction processing volumes
4Productivity
If data centers are built to support high-bandwidth networks and massive parallel processing, then processing capacity increases, but construction costs and environmental impact increase
Solution Approach 1:
The data center is constructed from reusable computing modules that can be manufactured off-site and assembled like LEGO blocks. This segmentation reduces on-site construction activities, minimizes waste generation, and allows for efficient material utilization while achieving high data processing capacity
Solution Approach 2:
The modular design enables individual computing modules to be easily removed, recovered, and reused in different locations or configurations. This recoverability reduces the need for new construction materials when expanding or relocating data center capacity, thereby reducing construction costs and environmental impact
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables quick assembly and expansion of data centers, supports high-bandwidth networks, and efficiently manages heat and power distribution, facilitating the handling of large volumes of transactions and data processing with reduced construction costs and environmental impact.
Implementation Method 1
a cooling system integrated into the enclosure and configured to cool the processing devices
Data Source
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AI summary
A computer system may include a connecting hub having a plurality of docking regions and be configured to provide to each docking region electrical power, a data network interface, a cooling fluid supply and a cooling fluid return; and a plurality of shipping containers that each enclose a modular computing environment that incrementally adds computing power to the system. Each shipping container may include a) a plurality of processing units coupled to the data network interface, each of which include a microprocessor; b) a heat exchanger configured to remove heat generated by the plurality of processing units by circulating cooling fluid from the supply through the heat exchanger and discharging it into the return; and c) docking members configured to releaseably couple to the connecting hub at one of the docking regions to receive electrical power, connect to the data network interface, and receive and discharge cooling fluid.