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White Paper: Deployment of an ORv3 Architecture Server Within Intel Open IP Single-Phase Immersion Cooling Tank

White Paper: Deployment of an ORv3 Architecture Server Within Intel Open IP Single-Phase Immersion Cooling Tank
White Paper: Deployment of an ORv3 Architecture Server Within Intel Open IP Single-Phase Immersion Cooling Tank
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Wiwynn is participating in Intel’s Open IP collaboration program by integrating a 1OU computing server, compliant with the Open Compute Project (OCP) Open Rack V3 (ORv3) standard, into Intel’s purpose-designed single-phase immersion cooling tank. The system employs Perstorp Polyolester (POE) 390z synthetic ester (Synmerse™ DC) as the coolant for thermal performance testing.

To evaluate cooling efficiency, the test subjects the CPU to stress levels reaching a Thermal Design Power (TDP) of 550W, while analyzing the impact of parameters such as Cooling Distribution Unit (CDU) pumping frequency, inlet coolant temperature, and heatsink type. Comparative assessments are conducted between air cooling and single-phase immersion cooling on the same system, aiming to provide insights for optimizing immersion cooling efficiency and advancing high-performance computing and data center thermal management.

Download the whitepaper now to discover how next-generation thermal innovations are unlocking the future of energy-efficient, high-density computing.

White Paper: Deployment of an ORv3 Architecture Server Within Intel Open IP Single-Phase Immersion Cooling Tank

1 min read

White Paper: Deployment of an ORv3 Architecture Server Within Intel Open IP Single-Phase Immersion Cooling Tank

Wiwynn is participating in Intel’s Open IP collaboration program by integrating a 1OU computing server, compliant with the Open Compute Project (OCP)...

Read More
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White Paper: Platform Optimization for Performance and Endurance with QLC and Cloud Storage Acceleration Layer

High-density QLC SSDs are redefining storage architectures and are paving the way for greater data density and cost and power efficiency. They are...

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AI and large-language-model clusters are straining the limits of traditional fat-tree and star networks. When tens of billions of parameters move...

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