SCHNEIDER ELECTRIC
“ It is difficult to provide , and it is a really high requirement for efficiency as well as for power challenge . So , interference workloads operating at various rack densities may benefit from high voltage disruption , but also , it ’ s challenging to meet capacity with this existing standard where we have 60 to 63AMP rack power distribution units .
“ What ’ s more , we talk about the change in cooling and people are talking a lot about liquid cooling and air cooling . We ’ re using it a lot and we try to make it as efficient as possible .”
For example , Schneider Electric has economisers , software that makes use of air cooling more efficiently . “ When we think about liquid cooling , the transition will bring logical and financial considerations . We predict next year we ’ ll see the continued roll out of liquid cooling in data centres ,” Makarochkina adds .
And finally , physical demands . Discussing the requirements for AI clusters , Makarochkina emphasises the need for larger arrays of racks with specific larger dimensions . “ They result in a totally different design which will be required for data centres and this will be one of the biggest challenges as well ,” she concludes .
Shaping the future Makarochkina acknowledges that there is nothing stopping the tsunami of the adoption and development of AI , believing that it is at the forefront of shaping the future .
“ There is no argument whether we ’ ll have AI or not . When we talk about AI and IoT , then we ’ ll also talk about a totally different new landscape , both in terms of learning as well as processing an using computer visions .”
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