While this is awesome, it's light on details. I assume they loaded their datacenter with all kinds of sensors and have an advanced HVAC system that can mix external air when desired. So you look at current server load, predicted load based on past patterns, external temp, predicted external temp, along with internal temp, and then decide what air supply and cooling mix to use. So if you have CRAC units that are more advanced than on/off, and can use outside air with add/remove humidity, you can really draw down your cooling power usage.
What is upsetting, is that this technology isn't making it's way to Nest. Nest doesn't learn, often I'm adjusting as the humidity in the house goes up or down, so I adjust the AC. It doesn't learn my patterns, it just adds in more program points, which don't always apply. Oh, and if I leave it off and need to cool it from 85 to 70, what is the estimated time? 2+. Always 2+. It never actually figures out how long it will take for any value above 2 hours. It's marketed as this "deep learning" product for home HVAC, and it really isn't. I would love to see advances in commercial HVAC controls make their way to homes, but it's just not happening.