White Paper: Analysis of Different Rack-Level Direct-to-Chip Liquid Cooling Solutions

White Paper: Analysis of Different Rack-Level Direct-to-Chip Liquid Cooling Solutions
White Paper: Analysis of Different Rack-Level Direct-to-Chip Liquid Cooling Solutions
0:53

This whitepaper provides an in-depth analysis and investigation of rack-level liquid cooling solutions, including Standalone air-assisted, Liquid-to-liquid CDU, and Hybrid architectures. Key components such as cold plates, quick connectors, manifolds, CDUs, and RDHx units were thoroughly tested for optimal performance.

The testing highlighted the unique cooling capabilities and infrastructure needs of each solution: CDU-only with an 80kW maximum capacity, Hybrid systems delivering 60kW cooling at the lowest PUE via water cooling, and Standalone air-cooled systems capable of 20kW. The choice of system depends on server power density, cooling demands, available infrastructure, and targeted PUE levels. The analysis and results underline the significant advantages of liquid cooling for thermal management in high-density AI server deployments.

Register to Download the whitepaper!

 

White Paper: GPU-Initiated, Liquid-Cooled, Ultra-High-Density Storage for Next-Gen AI

1 min read

White Paper: GPU-Initiated, Liquid-Cooled, Ultra-High-Density Storage for Next-Gen AI

This paper introduces a paradigm shift in storage architecture designed to overcome the CPU-centric data path bottlenecks in modern AI workloads. By...

Read More
White Paper: KV Cache Offload to Improve AI Inferencing Cost and Performance

1 min read

White Paper: KV Cache Offload to Improve AI Inferencing Cost and Performance

This paper explores a disaggregated key-value (KV) storage architecture designed to efficiently offload KV cache tensors for generative AI workloads.

Read More
Autonomous AI Agent for End-to-End Component Data Extraction

1 min read

Autonomous AI Agent for End-to-End Component Data Extraction

This paper explores an advanced framework designed to automate the extraction of important attributes from unstructured part datasheets. By...

Read More