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White Paper: CAE-Assisted Cable Routing Methodology for High-Density Server Platforms
As AI server systems continue to scale rapidly in power and data throughput, cable density within server platforms has increased significantly....
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Wiwynn
Updated on April 27, 2026
AI accelerators and next-gen HPC processors are already nudging past the one-kilowatt mark, making single-phase liquid loops struggle with soaring flow rates, pump power, and rack-level energy budgets. Our latest white paper reveals how a two-phase cold plate, tuned for a 45 °C boiling point, evacuates up to 2.5 kW from a die area while holding junction temperatures flat—even when power density climbs to 125 W/cm². The result is cooler silicon, fewer hotspots, and headroom for faster clocks in dense AI deployments.
Inside you will find head-to-head lab data that pits this pool-boiling design against conventional single-phase plates across single- and multi-socket testbeds. Detailed charts document a 13.7 °C CPU temperature drop, pump-power cuts of roughly sixty-seven percent, and stable performance at just 0.85 L min⁻¹ coolant flow. The paper also walks through refrigerant selection, manifold layout, and pressure-drop mitigation so system architects can adopt low-GWP fluids without sacrificing thermal margin or uptime.
Do not let thermal ceilings choke the next wave of AI chips. Download the full white paper today and map out a two-phase strategy that boosts performance, slashes operating power, and future-proofs your cooling stack.
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As AI server systems continue to scale rapidly in power and data throughput, cable density within server platforms has increased significantly....
1 min read
As server power density continues to increase in modern AI and high-performance computing applications, direct liquid cooling (DLC) has become a...
This whitepaper introduces SPDM attestation between a BMC and an External Root of Trust (EROT) on AI servers. It outlines SPDM prerequisites and the...