intelligent POWER AND COOLING
EkkoSense ’ s new algorithm provides insight into relationship between IT racks and specific cooling units
EkkoSense , a global leader in the provision of AI-powered data centre optimisation software , has announced major new updates to its innovative Zones of Influence algorithm , as part of its latest EkkoSoft Critical software release .
The new Zones of Influence algorithm provides data centre operations teams with a unique , real-time insight into the relationship between groups of IT racks and specific cooling units . This enables the creation of live airflow Zones of Influence , with racks grouped into clusters with the cooling unit that ’ s provisioning them . Potential cooling anomalies can also be detected by uncovering critical Zones of Influence .
“ By sharing Zones of Influence insights with EkkoSoft Critical ’ s fully-embedded , AI-driven Cooling Advisor tool , operations teams will be able to see precisely which cooling units could be put into standby or turned down if they ’ re using variable speed fans ,” said Paul Milburn , Chief Product Officer , EkkoSense . “ Zones of Influence is a great example of how EkkoSense takes advantage of the latest Machine Learning-based algorithms to help unlock significant savings for data centre operators . With this latest release , we ’ re introducing important new enhancements to the Zone of Influence algorithm , as well as further updates to EkkoSoft Critical ’ s Permissions feature .”
EkkoSoft Critical introduces AI and Machine Learning technology into traditional data centre optimisation with software that provides comprehensive 3D monitoring and visualisation , AI-enabled evaluation and analytics and comprehensive capacity management support . This combines to deliver lower thermal and power risks for data centre operators , resulting directly in data centre cooling energy cost and carbon reductions that help operations teams to deliver on their corporate ESG requirements .
The Zones of Influence algorithm updates include :
• Extending the algorithm to cover new cooling technologies such as fan wall arrays
• An improved algorithm for rooms where combined cooling delivery units are used – such as In Row and standard Downflow units
• Support for OEM units providing the right integration is available
• Simplified initial configuration
EkkoSense will continue to extend the performance of EkkoSoft Critical , with the next key release scheduled to feature a major refresh of the software ’ s Estate Page navigation . This update will optimise site-level visibility , with comprehensive estate-wide reporting for thermal performance , site and room power usage , as well as full capacity utilisation updates . The company ’ s R & D team is also focused on taking its capacity planning capability further forward , with plans to offer an entirely new grey-space simulation capability at a later date .
EkkoSense ’ s EkkoSoft Critical AI-powered optimisation software delivers quantifiable reductions in cooling energy usage , helping data centres to reduce energy consumption and deliver quantifiable carbon savings to support corporate sustainability and ESG programmes . With EkkoSoft Critical , EkkoSense delivers a compelling business case , enabling true real-time M & E Capacity Planning for power , cooling and space at a fraction of the cost of more expensive and complex DCIM solutions . � www . intelligentdatacentres . com
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