A number of AI applications today are outward-looking – aimed at the consumer, but there are substantial gains to be had from inward-looking artificial intelligence applications too; this includes datecentre AI, says David Trossell from Bridgeworks.
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Datacentre AI Datacentre provider Telehouse says the rise of datacentre AI is important in two ways. The first trend is that AI applications need the global datacentre to ‘provide the necessary computational power’; and the second effect is that ‘AI applications are being developed to improve data centers themselves.’ This means that datacentres are both serving and being served by artificial intelligence.
Datacentre AI: drivers
Telehouse talks about the drivers for datecentre AI. These include:
1. The need for global datacentres to have Graphics Processing Units (GPUs)
2. The fact that artificial intelligence is helping datacentres to become more energy efficient.
3. The use of artificial intelligence for server optimisation.
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4. The use of artificial intelligence for datacentre security.
5. The prediction that increasingly large datacentres will require AI operators and robots to manage them better.
6. The belief that some datacentre infrastructure management tasks can be handed over to artificial intelligence to allow “humans can concentrate on the most critical and creative aspects of maintaining an efficient data center.”
It concludes: “At the moment, artificial intelligence is looking promising for the data center industry. The rise of AI-based applications will increase the demand for colocation service providers. Global data centers and colocation service providers will step up their game to meet this demand. And AI-based applications will help these data centers run efficiently to provide better service to their customers. If you are developing an AI-application, it is important to choose global data centers and colocation service providers who can help you provide cost-efficient services through the use of latest technology for energy efficiency, optimization, security, compliance, and disaster recovery.”
Creating true SANs
In my opinion there is a big opportunity to use AI for storage and for storage area networks (SANs). SANS are not a true network; they are pools of storage connected to servers. However, there are a multiplicity of storage devices that can create a true multi-tiered storage configuration from the latest non-volatile memory express (NVMe) through flash, high performance disc drives, high capacity shingled drives, and with tape and optical disks. So, everything within the datacentre can create a layer of complexity that needs to be fully understood to drive efficiency gains.[…]
read more – copyright by www.information-age.com
A number of AI applications today are outward-looking – aimed at the consumer, but there are substantial gains to be had from inward-looking artificial intelligence applications too; this includes datecentre AI, says David Trossell from Bridgeworks.
copyright by www.information-age.com
Datacentre AI: drivers
Telehouse talks about the drivers for datecentre AI. These include:
1. The need for global datacentres to have Graphics Processing Units (GPUs)
2. The fact that artificial intelligence is helping datacentres to become more energy efficient.
3. The use of artificial intelligence for server optimisation.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
4. The use of artificial intelligence for datacentre security.
5. The prediction that increasingly large datacentres will require AI operators and robots to manage them better.
6. The belief that some datacentre infrastructure management tasks can be handed over to artificial intelligence to allow “humans can concentrate on the most critical and creative aspects of maintaining an efficient data center.”
It concludes: “At the moment, artificial intelligence is looking promising for the data center industry. The rise of AI-based applications will increase the demand for colocation service providers. Global data centers and colocation service providers will step up their game to meet this demand. And AI-based applications will help these data centers run efficiently to provide better service to their customers. If you are developing an AI-application, it is important to choose global data centers and colocation service providers who can help you provide cost-efficient services through the use of latest technology for energy efficiency, optimization, security, compliance, and disaster recovery.”
Creating true SANs
In my opinion there is a big opportunity to use AI for storage and for storage area networks (SANs). SANS are not a true network; they are pools of storage connected to servers. However, there are a multiplicity of storage devices that can create a true multi-tiered storage configuration from the latest non-volatile memory express (NVMe) through flash, high performance disc drives, high capacity shingled drives, and with tape and optical disks. So, everything within the datacentre can create a layer of complexity that needs to be fully understood to drive efficiency gains.[…]
read more – copyright by www.information-age.com
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