They have come a very long way since the late 1990s when I was working there as a sysadmin and the data center was a couple of racks plus a tape robot in a back room of the Presidio office with an alarmingly slanted floor. The tape robot vendor had to come out and recalibrate the tape drives more often than I might have wanted.
Is this some kind of copypasted AI output? There are unformatted footnote numbers at the end of many sentences.
I think this was writen wholly by deep research.
It just reads like a clunky low quality article
>And the rising popularity of generative AI adds yet another unpredictable dimension to the future survival of the public domain archive.
I'd say the nonprofit has found itself a profitable reason for its existence
The IA needs perhaps not just more money, but also more talented people, IMO. I worry that it has stagnated, from a tech pov.
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It's frustrating that there's no way for people to (selectively) mirror the Internet Archive. $25-30M per year is a lot for a non-profit, but it's nothing for government agencies, or private corporations building Gen AI models.
I suspect having a few different teams competing (for funding) to provide mirrors would rapidly reduce the hardware cost too.
The density + power dissipation numbers quoted are extremely poor compared to enterprise storage. Hardware costs for the enterprise systems are also well below AWS (even assuming a short 5 year depreciation cycle on the enterprise boxes). Neither this article nor the vendors publish enough pricing information to do a thorough total cost of ownership analysis, but I can imagine someone the size of IA would not be paying normal margins to their vendors.