2 min read
Autonomous AI Agent for End-to-End Component Data Extraction
1. Objective Streamline complex, error-prone manual data entry Reallocate engineering talent to high-value innovation Achieve end-to-end automation...
Press
Updated on May 28, 2024
Air cooling is the traditional way to remove heat generated from processing units by directing cool air through hot surfaces to dissipate heat.
In recent years, the rapid expansion of AI and HPC is in demand of higher performance in both the processing units and in heat dissipation. Aimed to address the heat dissipation limit of air cooling, liquid cooling is introduced as an advanced cooling method to have coldplate array dissipate heat directly from the processing units.
With significant research into AI training system and other data center applications, we came up with multiple swappable cooling solutions for cooling hot processing units (OCP accelerator module) within the same AI training system. This swappable cooling solution design can provide quick and easy upgrade of cooling in most scenarios.
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2 min read
1. Objective Streamline complex, error-prone manual data entry Reallocate engineering talent to high-value innovation Achieve end-to-end automation...
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Deploying large-scale AI clusters introduces engineering challenges that extend well beyond the individual server rack. From liquid cooling...
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This paper discusses the rapid expansion of AI workloads and the resulting transformation in data center infrastructure requirements. Traditional...