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by nbmh
3609 days ago
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>During typical usage (MS Office, web browser, programming)... That's the issue though, this wouldn't be similar to your typical usage. Instead, if they're using your GPU to train neural networks, it'll be running close to or at full capacity. I realize that you rounded the costs up, but lets just look at the costs of a GPU often used for machine learning - Nvidia GTX 980 TI. According to Nvidia, it draws 250W under load which according to your figures would result in a yearly cost of roughly $344. That's just for the reference card, a typical card that a consumer would purchase would draw even more. You can buy a 980 TI for a little more than $400. That doesn't even begin to look at hardware actually designed for commercial and research applications. I think that it's possible to find a way of monetizing computer resources, however, I think it has more to do with arbitraging differences in electricity costs. Suchflex's model certainly wouldn't work where I live (electricity costs in NYC are roughly 20 cents per kw-hour) but parts of the US are under 10 cents. I could see a company attempting to profit from these differences by setting up hardware in a cheap state and negotiating a favorable electricity rate. Heavy computation could then be done on these networks for significantly less than it could in New York or California. In summary, the value of a consumer's unused computer has more to do with their electricity rate than their hardware. |
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I don't see how the calculations support that.
For example if we use your worse case scenarios of an entity (such as Suchflex) that had its own datacenter in a 20 cent kwh region and the crowdsourced homecomputers in a 9 cent kwh region, that's a difference of 11 cents.
If we round up the energy usage to 600 watts (pc + GPU), that 11 cents is an annual difference of ~$578. However, for Suchflex to even run computations at all on their own hardware -- whether its 20 or 9 cents -- they have to spend capex of ~$1500 of motherboard+cpu+gpu. That's the $1500 the homeowner already spent for his own purposes. Therefore, Suchflex can redirect $1500 to pay commissions/awards/etc towards pure computations instead of buying their own depreciating hardware (which includes buying/renting the physical datacenters to hold it all).
It seems like the homeowner's hardware is a very significant part of the arbitrage/monetization equation. Yes, there is also potential arbitrage in regional differences of electricity rates. However, the greater arbitrage (at least the first 3 years) is the unused time on residential pc that would have been wasted. That "unused time" arises from computer hardware that was already purchased for other purposes than Suchflex.