I'm curious about the lifespan of AI servers. Specifically, how long can we expect them to be technologically relevant before they're considered obsolete? I've observed that many tech companies seem to be extending the usable life of their servers for depreciation purposes. What are your thoughts on this?
2 Answers
Honestly, it all boils down to cost-efficiency. If a server is still fulfilling its role and the power costs are manageable, it'll stick around. But if you're providing AI as a service, it feels like these servers are outdated almost instantly as new tech rolls out.
With the speed at which AI companies are acquiring hardware, it feels like they're swapping out servers every few minutes! They're always on the lookout for the latest and greatest.
Totally, I've noticed even Azure is still using older CPUs for some setups. They keep them around because they're cheap, even if they're nearing the end of their life.