Language:

Home
About
Products

Industry

AI Data Centers

Crypto Infrastructure

Series

CoolBase Series

Prefabricated modular AIDC infrastructure

CoolPod Series

Compact indoor compute modules

Container Series

Climate-proof hydro-cooled containers

Cabinet Series

Compact hydro-cooled compute cabinets

AI Data Centers · CoolBase Series CoolBase Series

CoolBase-1080A/W CoolBase-270A/W

AI Data Centers · CoolPod Series CoolPod Series

CoolPod-1080A/W CoolPod-36A/W CoolPod-6A/W CoolPod-2A/W

Crypto Infrastructure · Container Series Container Series

SR40 V3 Hydro cooling container SR2 A1 Hydro cooling container SRC 135-SU3 Hydro cooling container SRC 396/198 STU2 Hydro cooling container SRC 242-MU2 Hydro cooling container SRC 242-SU2 Hydro cooling container

Crypto Infrastructure · Cabinet Series Cabinet Series

SR20M Hydro server cooling unit SR34-S Hydro server cooling unit
Solutions
Finance Scientific Research Healthcare Smart Manufacturing Telecom Operators Embodied Intelligence
Services
Resources
Blog Case Studies FAQs
Contact

Home / All / Industry Insights

Industry Insights

Liquid Cooling for High-Density Mining OperationsOct 14,2026
Mining profitability is determined as much by cooling infrastructure as by hashrate. Hydro-cooled mining operations achieve 15-30% lower energy costs per terahash while extending ASIC hardware lifespan by reducing thermal stress. This guide examines the engineering and financial case for hydro-cooling in mining at scale.
Understanding PUE in Data Center OperationsApr 11,2026
Power Usage Effectiveness — PUE — is a standard metric in data center operations that quantifies how efficiently a facility uses energy. For high-density compute data center operations running at megawatt scale, the difference between a PUE of 1.4 and 1.08 is not an abstract efficiency figure. This article explains how PUE is calculated, what drives it in data center environments, and why cooling architecture is the primary lever available to operators seeking to improve it.

Blog group

We can quickly provide customers with market analysis, technical support and customized services.

AI Data Centers