| ▲ | aswegs8 9 hours ago | ||||||||||||||||||||||
Not sure why this "GPUs obsolete after 3 years" gets thrown around all the time. Sounds completely nonsensical. | |||||||||||||||||||||||
| ▲ | belval 8 hours ago | parent | next [-] | ||||||||||||||||||||||
Especially since AWS still have p4 instances that are 6 years old A100s. Clearly even for hyperscalers these have a useful life longer than 3 years. | |||||||||||||||||||||||
| ▲ | tuckerman 6 hours ago | parent | prev | next [-] | ||||||||||||||||||||||
I agree that there is hyperbole thrown around a lot here and its possible to still use some hardware for a long time or to sell it and recover some cost but my experience in planning compute at large companies is that spending money on hardware and upgrading can often result in saving money long term. Even assuming your compute demands stay fixed, its possible that a future generation of accelerator will be sufficiently more power/cooling efficient for your workload that it is a positive return on investment to upgrade, more so when you take into account you can start depreciating them again. If your compute demands aren't fixed you have to work around limited floor space/electricity/cooling capacity/network capacity/backup generators/etc and so moving to the next generation is required to meet demand without extremely expensive (and often slow) infrastructure projects. | |||||||||||||||||||||||
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| ▲ | bmurphy1976 8 hours ago | parent | prev [-] | ||||||||||||||||||||||
It's because they run 24/7 in a challenging environment. They will start dying at some point and if you aren't replacing them you will have a big problem when they all die en masse at the same time. These things are like cars, they don't last forever and break down with usage. Yes, they can last 7 years in your home computer when you run it 1% of the time. They won't last that long in a data center where they are running 90% of the time. | |||||||||||||||||||||||
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