ML and AI power data centre sector ’ s first software-embedded thermal advisory capability
drawn from over 15 billion EkkoSoft critical data points to provide a clear recommendation of the next best action that the data centre team can take to improve their thermal performance . And because advisory actions are structured to ensure support for 100 % ASHRAE rack thermal compliance , facilities managers can be confident that they will be protected against thermal risk across their operations .”
EkkoSense , a leading provider of software-driven optimisation solutions for critical data centre and M & E environments , has launched Cooling Advisor – a powerful Machine Learning and AI-powered advisory software tool that helps data centre operations teams to keep their critical facilities thermally-optimised .
Available as part of EkkoSense ’ s innovative EkkoSoft Critical SaaSbased M & E optimisation and capacity management solution , Cooling Advisor is the industry ’ s first process-driven embedded advisory capability available as part of a thermal optimisation solution . By following the clear recommendations offered by Cooling Advisor ’ s algorithms , data centre teams can keep on track in their journey to secure an average 30 % cooling energy savings .
“ Data centre rooms are constantly changing , especially with the constant addition and removal of IT equipment and associated cooling – so it ’ s really hard for operations team to make sure their critical facilities stay fully optimised ,” said EkkoSense ’ s Chief Product Officer , Paul Milburn . “ That ’ s where Cooling Advisor helps , providing a range of powerful selfoptimising capabilities that enable data centre teams to ensure continuous yearround performance optimisation .
“ However , unlike thermal consultants who may just suggest potential improvements , Cooling Advisor processes Machine Learning insights
Cooling Advisor ’ s actionable changes include suggested optimum cooling unit setpoint adjustments , fan speed points and standby settings , changes to floor grille layouts , checking that cooling units are running to specification as well as advice on optimum rack locations . Recommendations are presented each time for human auditability before data centre operations team members make the suggested changes . They can then use EkkoSense ’ s data centre performance optimisation solution to confirm that Cooling Advisor recommendations are delivering the expected results . Cooling Advisor operation is particularly intuitive , with potential risk mitigated by the defining of clear action steps , the provision of obvious back-out mechanisms , as well as the ability to flag and unflag items so that optimisation suggestions aren ’ t repeatedly given for changes that cannot be implemented . ◊
COOLING ADVISOR PROCESSES MACHINE LEARNING INSIGHTS DRAWN FROM OVER 15 BILLION EKKOSOFT CRITICAL DATA POINTS TO PROVIDE A CLEAR RECOMMENDATION OF THE NEXT BEST ACTION THAT THE DATA CENTRE TEAM CAN TAKE . intelligent POWER AND COOLING www . intelligentdatacentres . com
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