THE UNDERLYING PRINCIPLE OF COOLING INVOLVES TRANSFERRING HEAT FROM ONE MEDIUM TO ANOTHER OR USING A MEDIUM TO DISSIPATE THE HEAT .
EXPERT OPINION
traditional ways of cooling are not bad . If you have low-density servers , sticking with traditional cooling may be reasonable due to the available infrastructure and cost-effectiveness . However , if you deal with mid or high-end loads and anticipate future changes in requirements , exploring new data centre cooling methods becomes a logical choice . So , assess your IT demand and make informed decisions accordingly .
How can organisations identify the right cooling system and what infrastructural changes do they need to make ?
It is important for every organisation to assess their IT aspect and plan appropriately from the outset . Although the technology may not be new , people may need guidance . Some experts perceive introducing liquid in whitespace as a risk , but with proper planning and the right components , this risk can be mitigated . There are existing installations that already demonstrate that this is secure , sustainable and energy efficient .
Although it may require rethinking some established habits , the key lies in proper planning , collaborative efforts and all companies working together considering the sustainability and energy efficiency of their systems . They all need to bridge the gap between IT facility infrastructure and making sure the direct-to-chip cooling infrastructure meets all the requirements on the server side . In a nutshell , the process revolves around assessment and design layout planning .
How does nVent help its customers to protect IT assets and maintain high availability ( uptime ) at minimal operational costs ?
Our company has a slogan ' think global , act local ' which is a key advantage we have as a company . We are a global company with years of experience in immersion and direct-to-chip cooling working extensively with hyperscale programs in the past . Our approach now involves leveraging and standardising that engineering expertise , manufacturing capabilities , quality standards and certifications . Currently , we are focused on standardising all these skills and expertise for enterprise use , whether it ' s an on-premise data centre or a multitenant data centre site .
Our standardised components include a construction toolkit , allowing us to combine different components with in-built redundancies manufactured to highest quality standards to create tailored solutions for each specific demand .
The rise of Machine Learning ( ML ) is driving the adoption of liquid cooling . What ’ s your take on this and how do you see this evolving in future ?
Machine Learning is an integral part of AI . It currently plays a significant role in our business and positions us well in this domain by fuelling the development of new technologies , especially on the coding side .
As I reflect on my journey with coding , I realise how exciting it is to see the industry advancing . Machine Learning is a driver and what drives it is the computing load required for systems . Computing load that can no longer be cooled by air drives the adoption of liquid cooling , hence the introduction of new technologies like Machine Learning . temperatures , become more sustainable and by extension , helps to drive the market if operated efficiently . Efficiency is crucial in operating these systems and that ' s a key takeaway for us . I am eagerly looking forward to more installations and advancements in this field . �
THE UNDERLYING PRINCIPLE OF COOLING INVOLVES TRANSFERRING HEAT FROM ONE MEDIUM TO ANOTHER OR USING A MEDIUM TO DISSIPATE THE HEAT .
We all want to reduce the carbon footprint and liquid cooling allows you to use higher
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