A new world of opportunities to improve data center performance and reduce energy consumption (white paper).
Nowadays, when it comes to
data centers industry, progressively, we observe a lot of efforts from
researchers to develop strong methodologies, approaches and models with the goal
to secure, and improve data center performance and reduce energy consumption.
This means, we talk about total
IT load (the amount of energy servers and networking equipment are using at any
time), we talk about PUE, a measure of energy efficiency, mechanical and
cooling equipment and relevant installations, without forget the smart software.
In our data-driven world,
companies are obsessed with saving energy and by the smart infrastructures and
cost-effective.
As part of our global
commitment as a must-attend landmark for digital transformation,
Connectikpeople.co soon Retinknow®, has captured for you a white paper (PDF) on how Google is using neural networks to optimize data center operations and drive energy
use to new lows.
We can observe that, what Jim designed can work a lot like other examples of machine learning, like speech recognition.
We can observe that, what Jim designed can work a lot like other examples of machine learning, like speech recognition.
With this approach, data center operators that rely on
machine learning, can experience
it.