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Theres no denying the impact AI is already having on data centers and energy use.
If left unchecked, the situation is only going to get worse.
Inside a data center where storage servers populate dozens of racks
That, of course, cannot happen.
The growing influence ofAI toolsacross industries - from healthcare to financial services - is undeniable.
Director of Systems Engineering at Nutanix.
A solution?
It could also save 25 billion by 2030 from improved energy and operational efficiencies.
But its not just about HCI, it’s about how organizations work with AI.
This makes so much more sense than to just keep building more energy-efficient data centers.
This not only improves response times but also significantly reduces the energy required for inferencing.
Moreover, the ability to measure and manage energy consumption is critical.
With hybrid infrastructure and a focus on efficient inferencing, businesses have a way to temper this energy surge.
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