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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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Press
Updated on August 4, 2025
Demand for more servers is climbing fast and every extra kilogram of steel increases cost, shipping emissions, and rack loading. Our latest white paper explains how a patterned embossing technique lets a thinner server chassis match the stiffness of thicker sheet metal while trimming weight and embodied carbon. Finite element models and lab tests confirm that structural rigidity improves even as material usage drops.
Inside the paper you will see a full cost and sustainability analysis that compares embossed versus conventional chassis across raw materials, process steps, and carbon footprint. Detailed FEA stress maps, vibration data, and drop tests show how strategic embossing routes loads through ridges and ribs so the design meets all reliability requirements. You will also learn fabrication guidelines that fit easily into existing stamping lines without expensive tooling changes.
Find out how lightweight chassis design can cut material spend, improve shipping efficiency, and support corporate sustainability goals. Download the full white paper now and put these insights to work in your next generation server platforms.
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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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