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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...
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Updated on June 5, 2024
With the rapid growth of immersion cooling, Wiwynn has developed a 1-Phase Immersion Tank to meet the rising power demands of emerging technologies and applications. This document introduces the basic architecture and configuration of the Wiwynn tank, highlighting innovative solutions. For example, it discusses the optimal design for routing the busbar from outside to inside the tank.
Additionally, the document focuses on the future scalability of the tank, which is crucial for maintaining flexibility in data centers to meet increasing cooling requirements. It also presents validation results and flow distribution for high power consumption servers. This new solution offers superior cooling efficiency and reduces energy consumption in data centers.
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This paper introduces a paradigm shift in storage architecture designed to overcome the CPU-centric data path bottlenecks in modern AI workloads. By...
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This paper explores a disaggregated key-value (KV) storage architecture designed to efficiently offload KV cache tensors for generative AI workloads.
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This paper explores an advanced framework designed to automate the extraction of important attributes from unstructured part datasheets. By...