According to Taiwan tech publication DigiTimes, most AI firms are unwilling to wait two years for HDD supplies to stabilize and are shifting to SSDs instead. To contain costs, they are choosing QLC NAND-based drives over the faster, more durable, and more expensive TLC variants.
Are now? Haven’t they been using flash first?
Hard drives suck for that work load. Their seek times are huge, their throughput is awful, and they’re worse storage density than HDDs. You can fit 24 2.5" ssds into a 2u server. 16TB in a 2.5" > 24TB in 3.5" SSDs were first to skyrocket in price vs HDDs.
No. AI companies have huge storage requirements for training data. Flash storage is not cost efficient for mass storage quantities.
For massive companies space is as costly as the price of the storage. Especially these AI companies don’t care much about the price of things.
Something tells me you’ve never worked for a massive company.
These aren’t massive companies. They’re startups. (and some branches inside of massive companies acting like startups)
… it’s Microsoft, Amazon, Google, and Facebook building all these huge datacenters. The biggest companies on the planet
Bruh, you’re the one who called them massive companies
A"I" companies want to store petabytes of “good” training data
Exabytes. Petabytes are easily surpassed by a lot of companies these days.