That's about all I can do. However...
> This is what I mean by being disingenuous.
I'm don't think disingenuous is what I'm being. Maybe I'm not being as forthcoming as you'd like. Maybe my comment wasn't useful without details I'm not providing. But I'm not lying or misrepresenting anything.
So let me try to be helpful without using proprietary information. Using information people have unearthed in this thread, we can do some math to prove I'm not completely bonkers:
96 unit chassis * 10T SMR = 960T, which is in the > 5x the density in 4U
SMR $/GB is quite good if you work with the right vendor and make the right tradeoffs.If you could manage that 960T with the same compute resources, you'd save a lot on compute, since that's currently a ~30% of their cost.
With custom enclosures and hardware, you can do more still. You can have deep relationships with vendors and have them customize firmware for your particular use case. You can take their discards that didn't quite meet spec. You can buy crazy cheap stock with high failure rates b/c your distributed system is insanely good at repairs. You get access to stuff that's not being sold yet.
However, let me state again--this would take a lot of work. You need to mold your software around your hardware profile with very small tolerances. You might need to move some I/O stuff in-kernel, and/or move the IP stack out of kernel. You might need to reinforce your DC's raised floors to handle the weight (spoiler: you definitely do unless you planned for these types of machines ahead of time). You need great operations, and really thorough hardware quals b/c your failure domain is huge. Network traffic will go through the roof if a box fails, since you're repairing so much data.
Dozens of people on a handfuls of teams will spend time attacking this problem from different angles.
So, again--I don't necessarily think Backblaze did anything wrong here. Doing all this might be a crazy idea for them and not worth it. My statement was: it's not state of the art in terms of $/GB or density.
But for some shops, they spend so much on storage they can afford invest really, really deeply on optimizing storage cost. That's where the state of the art is.