| ▲ | rwmj 2 hours ago |
| The difference is the hardware will become obsolete in a few years, unlike the dark fibre (really, rights of way) that provided cheap connectivity for years after the crash. |
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| ▲ | Traster 2 hours ago | parent | next [-] |
| The hardware will become obsolete but we may end up with an oversupply of cheap power - overbuild on things like Nuclear and solar. That would be nice. |
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| ▲ | bwb 2 hours ago | parent | prev | next [-] |
| Do we have any good data on how many of the GPU burn out given hard usage? Are we talkinga bout loosing 50% of the hardware as it fails? Or far less? |
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| ▲ | digdugdirk 2 hours ago | parent [-] | | It's an inherently different thing. Fibre is infrastructure. It'll still function decades later. GPUs at this scale are consumables. I've heard 3-5 years lifespan before they fail out. This might be a low estimate, but even if you double it - they're 50% of the cost of datacenters. We're flushing entire countries worth of economic value down an Nvidia shaped toilet. | | |
| ▲ | bwb 2 hours ago | parent [-] | | Anyone got any good testing data? Surely someone knows rough failure rate from constant usage? | | |
| ▲ | rwmj 25 minutes ago | parent [-] | | It's not that they fail (which they also do), it's that they become obsolete. They consume more energy to do fewer operations relative to newer nodes. This is the basis behind Moore's law. | | |
| ▲ | bwb 8 minutes ago | parent [-] | | Ah gotcha, ya that will be interesting to see, but does seem like a more likely life of 7 to 10 years is possible. I am curious on actual hardware failure rates due to heat etc. |
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| ▲ | johndhi 2 hours ago | parent | prev | next [-] |
| It's obsolete for training but is it obsolete for inference? |
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| ▲ | cyanydeez 2 hours ago | parent | prev [-] |
| not if they completely crash manufacturing with their push for fascism; be more optimistic! |
