Archive: https://archive.today/gg44r
From the post:
>The race to achieve AGI (artificial general intelligence) has pushed constituents to invest in and build data centers at a pace far outstripping our ability to make them. Manufacturers are struggling to keep up with AI demand, and the ongoing DRAM shortage is proof of this, with memory kits costing more than double what they did just a few months ago. Now, DigiTimes is reporting that storage is taking a hit, too, with delivery times for enterprise-grade HDDs delayed by two years.
That means if a firm wants to buy large-capacity hard drives, the backbone of nearline storage, it has to wait 24 months due to long lead times. As the news cycle suggests, AI money doesn't wait for anyone, so hyperscalers are now switching to QLC NAND-based SSDs to avoid these backorders. Picking QLC over TLC allows them to maintain costs while achieving sufficient endurance for cold storage.
Archive: https://archive.today/gg44r
From the post:
>>The race to achieve AGI (artificial general intelligence) has pushed constituents to invest in and build data centers at a pace far outstripping our ability to make them. Manufacturers are struggling to keep up with AI demand, and the ongoing DRAM shortage is proof of this, with memory kits costing more than double what they did just a few months ago. Now, DigiTimes is reporting that storage is taking a hit, too, with delivery times for enterprise-grade HDDs delayed by two years.
That means if a firm wants to buy large-capacity hard drives, the backbone of nearline storage, it has to wait 24 months due to long lead times. As the news cycle suggests, AI money doesn't wait for anyone, so hyperscalers are now switching to QLC NAND-based SSDs to avoid these backorders. Picking QLC over TLC allows them to maintain costs while achieving sufficient endurance for cold storage.