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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...
Cooling for data center is becoming more and more challenging as the power of processing units increases significantly. Liquid cooling would be one of the solutions to meet this upcoming high-power demand for its ability to maintain high cooling efficiency.
In this whitepaper, Wiwynn takes a normal 1U, 2-socket spread core motherboard server as the model for the discussion of L10 internal thermal solution. We propose two coolant loop designs, parallel and series, and analyze thermal performance and serviceability of the liquid cooling solution.
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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...