Quantum Mesh, IIJ, and NetChart Begin Handling Distributed Edge Data Centers Equipped with Liquid Cooling Systems
Quantum Mesh and IIJ's subsidiary NetChart partnered to sell 'KAMUI', a liquid-cooled distributed edge DC. It addresses AI GPU power demands, achieving PUE 1.03-1.04 and high-density 40kVA/rack installations while ensuring data sovereignty.
📋 Article Processing Timeline
- 📰 Published: April 7, 2026 at 20:00
- 🔍 Collected: April 7, 2026 at 11:30
- 🤖 AI Analyzed: April 20, 2026 at 23:31 (324h 1m after Collected)
Quantum Mesh Inc. (Headquarters: Chuo-ku, Tokyo; Representative Director: Hiroyuki Shinohara; hereinafter "Quantum Mesh") and NetChart Corp. (Headquarters: Yokohama, Kanagawa; Representative Director and President: Kazuhiro Kusumoto; hereinafter "NetChart"), a 100% subsidiary of Internet Initiative Japan Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director, President and COO: Yasuhiko Taniwaki; hereinafter "IIJ") conducting network-related solution business, have concluded a distributorship agreement for the distributed edge DC (Data Center) and liquid cooling system "KAMUI" deployed by Quantum Mesh, and will begin handling it from today. By combining Quantum Mesh's liquid cooling technology and distributed DCs with the IIJ Group's knowledge of network technology and DC solutions, they will promote the utilization of highly efficient IT infrastructure suitable for the AI and edge computing era.
### Background
With the spread of generative AI and AIoT (a combination of AI and IoT), the demand for large-scale computing using GPUs is expanding rapidly. On the other hand, in the operation of DCs housing high-density GPU environments, conventional air-cooling systems are becoming a bottleneck due to issues with power supply and cooling capacity, as well as space constraints.
Furthermore, in sectors such as local governments, healthcare, finance, and manufacturing, while handling confidential data that is difficult to fully migrate to the cloud from the perspectives of data sovereignty, auditing, and privacy, there is a demand for low-latency processing near the site and ensuring high availability with business continuity planning (BCP) in mind.
To address these challenges, by combining Quantum Mesh's distributed edge DCs and liquid cooling technology, a new GPU computing infrastructure is provided that simultaneously achieves "confidentiality," "low latency," "continuity (BCP)," and "power efficiency." Additionally, based on the IIJ Group's track record in the DC business, IIJ and NetChart will provide services such as sales and installation of the "KAMUI" series and network construction to support smooth product implementation.
### Overview of Collaborative Solutions
1. Overwhelming Power Efficiency and High-Density Implementation through Liquid Cooling
They aim for highly efficient operations at a PUE (*) level of 1.03 to 1.04 using Quantum Mesh's "KAMUI" series liquid cooling system. Compared to conventional air-cooling methods, the design significantly reduces the power required for cooling and supports high-density GPU implementations such as 40kVA/rack (less than 1 square meter). It also eases constraints on power, cooling, and floor space, making it easier to plan expansions for GPU computing infrastructure.
(*) PUE (Power Usage Effectiveness): An indicator showing the energy efficiency of a data center; the closer the value is to 1, the lower the proportion of power consumed by equipment other than IT equipment.
2. Enhancement of Confidentiality, Low Latency, and Availability through Distributed Edge Deployment
Enabling distributed deployment and phased expansion, confidential data can be processed at the edge while being kept domestically. This securely protects data while reducing quality degradation and operational risks caused by latency. Furthermore, distributed deployment makes it easier to design failover mechanisms in the event of failures or disasters and respond to BCP needs.
3. Flexible Design Proposals Backed by Actual Operation
Through its track record of operating an edge DC in Takahama Town, Fukui Prefecture (Takahama Drip 1), Quantum Mesh has accumulated knowledge from the design phase to the operational phase. Cooling equipment
### Background
With the spread of generative AI and AIoT (a combination of AI and IoT), the demand for large-scale computing using GPUs is expanding rapidly. On the other hand, in the operation of DCs housing high-density GPU environments, conventional air-cooling systems are becoming a bottleneck due to issues with power supply and cooling capacity, as well as space constraints.
Furthermore, in sectors such as local governments, healthcare, finance, and manufacturing, while handling confidential data that is difficult to fully migrate to the cloud from the perspectives of data sovereignty, auditing, and privacy, there is a demand for low-latency processing near the site and ensuring high availability with business continuity planning (BCP) in mind.
To address these challenges, by combining Quantum Mesh's distributed edge DCs and liquid cooling technology, a new GPU computing infrastructure is provided that simultaneously achieves "confidentiality," "low latency," "continuity (BCP)," and "power efficiency." Additionally, based on the IIJ Group's track record in the DC business, IIJ and NetChart will provide services such as sales and installation of the "KAMUI" series and network construction to support smooth product implementation.
### Overview of Collaborative Solutions
1. Overwhelming Power Efficiency and High-Density Implementation through Liquid Cooling
They aim for highly efficient operations at a PUE (*) level of 1.03 to 1.04 using Quantum Mesh's "KAMUI" series liquid cooling system. Compared to conventional air-cooling methods, the design significantly reduces the power required for cooling and supports high-density GPU implementations such as 40kVA/rack (less than 1 square meter). It also eases constraints on power, cooling, and floor space, making it easier to plan expansions for GPU computing infrastructure.
(*) PUE (Power Usage Effectiveness): An indicator showing the energy efficiency of a data center; the closer the value is to 1, the lower the proportion of power consumed by equipment other than IT equipment.
2. Enhancement of Confidentiality, Low Latency, and Availability through Distributed Edge Deployment
Enabling distributed deployment and phased expansion, confidential data can be processed at the edge while being kept domestically. This securely protects data while reducing quality degradation and operational risks caused by latency. Furthermore, distributed deployment makes it easier to design failover mechanisms in the event of failures or disasters and respond to BCP needs.
3. Flexible Design Proposals Backed by Actual Operation
Through its track record of operating an edge DC in Takahama Town, Fukui Prefecture (Takahama Drip 1), Quantum Mesh has accumulated knowledge from the design phase to the operational phase. Cooling equipment