About Data Center ,How AI help Data Center Cooling system and Saving Energy.
Over years management experts have felt the need to maintain data flowing within and outside the organization. The concept maintenance of data has taken a front seat. It is has now become a quintessential success mantra for big business house. They know the power of data and the change it could bring into an organization if they are preserved, analyzed, processed, and disseminated on requirement. This has called for building of huge servers that have colossal data storage capacity and also the installation of necessary equipment necessary to keep the servers running in a good condition. Therefore, in simple terms one could define data center as a place which where a large facility is installed to with huge servers and supporting components that performs data centric function. The words ‘data centric’ means that that a data center collects, stores, processes and disseminates data whenever required.
Inception of Data Center
The beginning of data center can be dated back to time when huge computers rooms were built that consumed immense amount of power. Even the systems were pretty hard to operate and preserve which also required specially built environment conducive to the system. The system and the structure were too complex to handle. Now with passage of time new systems evolved and in 1990 with development of multi-tasking PC’s the door to inception of data center became wide open where timesharing system were easy to develop. These came to be used in building server rooms and data center is an enlarged version of such server rooms.
Additional systems required for building data center in gist
The data center requirement and its related component can be summarized as follows:·
Power supply- Any data center requires an uninterrupted flow of power without which it cannot function properly. In case of power failure any business may face disruption due to which it may have to incur further cost in addition to loss of revenue due to shut of the system. Therefore, business houses sometimes install generator facility so that it could overcome the power failure situation. Even the system is powered by power supply without any interruption also known as UPS.
· Continuous cooling system- In order to maintain the system work in continuity it is utmost essential to supply the facility with continuous cooling which helps in preventing the system to get overheated.
· Security system- In order to ensure that the facility is fool-proof the a proper security system is to be built that could cope with any adverse situation which might occur like fire fighting equipment's, proper ventilation in order to remove smoke, authorized access, surveillance through video camera and even alarms in case of fire.
The introduction of AI in data centers changed the way end-to-end monitoring was conducted across facilities. In 2016, Google implemented DeepMind AI in its data centers for end-to-end monitoring and automation of its facilities. And the rest they say is history.
AI not only helps reduce overhead and operational costs but boosts energy saving by at least 40%. Power and cooling technologies get their well-deserved boost from AI’s helping hands.
The Era of Intelligent PDUs
The ideal power usage effectiveness (PUE) of the data center is 1.0; however, the average PUE is about 2.0. Several data center operators are adopting innovative designing of facilities, power, and cooling technologies to reduce the PUE to less than 1.5. The PUE calculation is based on the total power consumption by the facility’s IT infrastructure. The innovations and deployment of intelligent PDUs are enabling remote monitoring capabilities and power management. 2020 is witnessing innovations with AI for solving a lot of power and data center cooling issues across data centers worldwide.
Did you know modern data centers are being designed to reduce complexity and add more flexibility through the dynamic allocation of resources as per the operator’s needs? Modular data centers are designed to reduce the PUE to 1.3 or lesser. Huawei’s FusionModule2000 Modular data center product is tested in different environments and results in a yearly PUE of as low as 1.2. What transformation will these technological innovations bring to the around USD 8 billion data center cooling market by 2025 is yet to be witnessed.
Onset of New-age Supercomputer Data Centers?
Will the implementation of AI and ML simplify the complex workloads of data centers? Will it reduce the OPEX and CAPEX? Will it provide real-time solutions? Yes, to all. The integration of AI and ML will offer real-time data with insights and solutions that will help simplify a lot of complex processes and provide ground-breaking solutions. Furthermore, it will drive a lot of automation in data center cooling management and take remote monitoring capabilities to the next level. AI-powered recommendation systems, which only make minor improvements across network servers or data centers infrastructures, can potentially reduce energy usage, slash operational costs, and make these facilities more sustainable.
Facebook has partnered with Nortek Air Solutions to develop a new generation of data center cooling solution called State Point. State Point is a liquid cooling methodology that potentially reduces cooling water by up to 50% and power consumption by 20% while improving the efficiency of the data center. This is one such of several examples that the market is witnessing. AI has opened doors for modernizing a lot of technology in the current data center cooling market.
There is more, predictive analytics and the self-learning nature of AI will unleash an environment of efficient infrastructure and advance data center management solutions. Workload distributions and power consumption issues will be tackled on a real-time basis promoting sustainable data center development for the future. The question is — are you ready to keep pace with these rapid advancements.
