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I'm very skeptical of the data center cooling thing. That's been trotted out for years as basically the only example of something they did that generated money.
by version_five 4y ago
I'm very skeptical of the data center cooling thing. That's been trotted out for years as basically the only example of something they did that generated money. It's not really in the wheelhouse of modern ML for starters (it's an optimization problem) so I highly doubt it used a meaningful part of the research or talent tied up in deepmind. Furthermore, I don't believe that google is not somehow running their cooling significantly better than industry standard.
I'm sure they found an efficiency but it's probably closer to what a HVAC consultant could have found that they just assign credit to deepmind for. It just feels like one of those examples.
- pifm_guy 4y agoAt the extreme, DC cooling is an optimization problem with some hidden/delayed outcomes... For example, if you run your DC's hotter, then you'll save cooling money now, but have to deal with more hardware failures in 3 years time. That kind of problem is isn't a good fit for AI, and is a far better fit for a few guys in a thermal cycling lab with some spreadsheets.