Lenovo Neptune™

Lenovo Neptune spacer

Lenovo Neptune™

Improved Efficiency. Uncompromised Performance.

In data center cooling technology, Lenovo has led the evolution from energy-saving concept to performance enhancing and energy reuse reality. Lenovo Neptune™ embodies our holistic view of liquid-based cooling in the data center. This approach utilizes multiple liquid-based cooling technologies that efficiently extract heat from computer systems. Lenovo Neptune also employs software and monitoring tools to effectively manage and control the cooling environment.

In 2018, Lenovo Neptune™ technologies received an HPCWire Editor’s Choice Award for assisting the world’s largest non-accelerated, general supercomputer, SuperMUC-NG at LRZ, in becoming the most energy reuse effective computer in the world.

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Improved Efficiency. Uncompromised Performance.

  • Top Accessories

    Lenovo NeptuneTop Accessories

  • Overview

    Overview

    Lenovo Neptune™ tackles head-on the problem of traditional data center cooling in which every component inside the system produces heat. Heat is, of course, the mortal enemy of sensitive circuitry and causes shutdowns, slower performance, and data loss if allowed to accumulate.

    Lenovo Neptune's approach uses liquid cooling to extract heat from systems with high thermal output. Because liquid is extremely efficient at extracting heat, data centers can run up to 50 percent more efficiently while maintaining uncompromised performance and preserving a dense data center footprint. Lenovo Neptune accomplishes this via a three-pronged approach. Each technology may be used together or independently:

    • Direct to Node (DTN) warm-water cooling
    • Rear-door Heat Exchanger (RDHX)
    • Thermal Transfer Module (TTM) and Other Technologies

     

  • DTN Cooling

    DTN Cooling

    Direct to Node (DTN) Warm Water Cooling

    Utilizes water piped directly into the system unit to cool components, instead of using system fans and chilled air. Lenovo has been a pioneer of Direct to Node liquid cooled technologies since 2012. Lenovo’s ThinkSystem SD650 utilizes warm-water cooling to remove heat (up to 50⁰C) from the CPUs, memory, IO, local storage, and voltage regulators.

    • Superior heat conducting efficiency of water versus air allows critical server components to operate at lower temperatures compared to standard air-cooled systems.
    • Allows customers to run Xeon Scalable Processors up to 240W+ versus the traditional air-cooled systems limit to 165W
    • Delivers greater performance with 30-40 percent lower data power consumption

    Learn More About DTN Warm Water Cooling

    Lenovo’s ThinkSystem SD650 Direct to Node (DTN) Warm Water Cooling
  • Rear Door Heat Exchanger

    Rear Door Heat Exchanger

    Rear Door Heat Exchanger (RDHX)

    Brings water to the rack to reduce heat, making it room neutral to up to 30kW or supporting up to 40kW. Similar to a car radiator, the RDHX replaces the rear door of the rack and absorbs heat from the exhaust of air-cooled systems.

    • More than 80 percent removal efficiency via (RDHX)
    • Reduces overall datacenter cooling costs
    • Enables data centers to increase density without costly air-conditioning costs
    • View the 3D Tour
  • Other Technologies

    Other Technologies

    Thermal Transfer Module (TTM)

    The TTM integrates a hermetically sealed liquid filled heat pipe inside a traditional heat-sink. These TTMs are deployed in our air-cooled ThinkSystem SD530 in order to allow us to run higher wattage CPUs over traditional air-cooled systems.

    • Uses liquid in the heat sink to transfer heat away from the CPU to an area with more space to disperse heat
    • Allows for higher wattage CPUs with more cores/computational power (205W)
    • Keeps fan speeds modest for lower acoustic modes
    Lenovo’s ThinkSystem SD650 Thermal Transfer Module

    Energy Aware Runtime Software (EAR)

    EAR offers energy conscious organizations a robust and transparent solution with minimal performance overhead. The SLURM plugin was developed in partnership with Barcelona Supercomputing Center to improve energy consumption in large datacenters and HPC clusters.

    • Designed to throttle runtime frequencies based on workload needs
    • Granular, efficient control over system resources, versus running system at 100%
  • Resources

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