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FEATURE:<br />

FEATURE: 2024 PREDICTIONS<br />

"A growing number of data centres are full, and don't<br />

have the space or power available to deploy new<br />

platforms. To optimise the sustainability of existing data<br />

centre footprints, we'll see operators looking to switch to<br />

new, more power efficient technology, with smaller<br />

space and cooling requirements. This is in essence<br />

extending the life of the data centre - an essential factor<br />

when considering the need for new technologies in the<br />

wake of the rise of AI."- Fred Lherault, Pure Storage<br />

capacity for those 10 watts - which recent<br />

advances have helped deliver. Also, data<br />

centre engineers are thinking about how to<br />

use the HDD in a more power-optimised way,<br />

possibly through idle or power-down modes."<br />

More sustainable hardware such as highcapacity<br />

HDDs can help organisations design<br />

and operate a data centre with a lower<br />

environmental impact, argues Uwe Kemmer<br />

of WD. "The new generation of highest<br />

capacity drives that utilise shingled magnetic<br />

recording (SMR) are a significant step forward<br />

in meeting data centre customers'<br />

sustainability targets. Another benefit of using<br />

higher capacity drives is that data centre<br />

customers can install a smaller quantity of low<br />

power, higher-capacity HDDs rather than a<br />

higher quantity of smaller-capacity HDDs to<br />

store the same amount of data, which helps<br />

them reduce power and cooling costs."<br />

"AI and its downstream impact on data<br />

centre densities and power demands have<br />

become the dominant storylines in our<br />

industry," adds Vertiv's Giordano Albertazzi.<br />

"Finding ways to help customers both<br />

support the demand for AI and reduce<br />

energy consumption and greenhouse gas<br />

emissions is a significant challenge requiring<br />

new collaborations between data centres,<br />

chip and server manufacturers, and<br />

infrastructure providers."<br />

This idea is expanded on by Eric Herzog of<br />

Infinidat, who brings us back to AI: "The<br />

blossoming of green storage will be<br />

demonstrated in 2024 by reduced energy<br />

consumed to power storage systems, while<br />

still protecting data. We'll see bigger capacity<br />

systems being installed that take up less<br />

space than traditional arrays… Enterprises<br />

will increasingly turn to AI for the capabilities<br />

to optimise storage capacity and streamline<br />

management, resulting in more efficiency.<br />

Gartner predicts that by 2025 half of all data<br />

centres will deploy AI/ML to increase<br />

efficiency by up to 30%. AI will also be used<br />

to optimise cooling."<br />

Fred Lherault of Pure Storage says: "A<br />

growing number of data centres are full, and<br />

don't have the space or power available to<br />

deploy new platforms. To optimise the<br />

sustainability of existing data centre footprints,<br />

we'll see operators looking to switch to new,<br />

more power efficient technology, with smaller<br />

space and cooling requirements. This is in<br />

essence extending the life of the data centre -<br />

an essential factor when considering the need<br />

for new technologies in the wake of the rise<br />

of AI."<br />

Mark Molyneux of Cohesity goes further still,<br />

arguing that most if not all organisations need<br />

to go on a 'data diet' in 2024: "We know that<br />

we live in a time of climate emergency, and<br />

yet there are no concerted efforts amongst<br />

enterprises or the IT industry to drive down<br />

those volumes of Data. Efficiency and<br />

management alone do not solve the issues<br />

that we are just storing too much of<br />

everything, for too long."<br />

He says firms should consolidate data on a<br />

common platform instead of operating dozens<br />

or even hundreds of separate silos. There, this<br />

data can be further reduced using standard<br />

techniques such as deduplication and<br />

compression, with reduction rates of 96%<br />

possible as a result. Then, he says: "Use AI to<br />

index and classify data according to its<br />

content and value for the company. Everything<br />

that is without value can be deleted. 2024<br />

should be the year when we don't end up with<br />

more, but take responsibility to reach the end<br />

of the year with less." ST<br />

14 STORAGE Jan/Feb 2024<br />

@STMagAndAwards<br />

www.storagemagazine.co.uk<br />

MAGAZINE

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