

This is not a good thing btw. Any unused anonymous page takes up space that could instead be used for file-backed pages that make your system faster.
Can you expand here. I think my attempt at brevity in this part wasn’t helpful.
Swap is not tiered storage!
I meant tiered with priorities only, yes.
Cool tech but it’s dead and was quite niche even when it was alive.
We are not talking about the original purpose of Optane as supported on Windows. It’s just a (perhaps somewhat outdated) example of a storage device “smaller but faster than your average SSD storage”, which is very much not did tech.
Not a thing you actually want to use for swap
Depends on the use-case. But yes, this can also be used as the fastest disk tier/priority of normal swap devices, which is why I mentioned both.
This makes no sense at all unless you are extremely space-constrained on the NVMe and absolutely must not OOM – even if progress stalls to an absolute crawl.
Why would you want to see killed processes when you go back to your workstation, in the 1/10000th scenario where something runs amok pushing memory usage to unexpected high levels? When you can simply investigate the reason behind the rare occurrence, then move all the pages off the slowest devices immediately with swapoff?
All this talk just confirms my feelings that there is a general lack of understanding of actual modern workloads.
RAM (normal w/wo zram) doesn’t get full, then stay full forever in real workloads. Not only is that not realistic at the “opened apps”/“running processes” level, it’s not real at the heap allocation level within tasks within processes. And this is much more pronounced with code written in modern languages like Rust and some styles of C++. Modern heap allocators batch and cache (primarily to help with performance). But still, A LOT of memory is getting allocated and deallocated all the time, even from the kernel’s PoV.
LRU itself is an imperfect approximation, not a goal. In the setup described in my other comment (fast SSD swap storages only used sparingly most of the time), so called LRU inversion gets auto-cancelled relatively quickly, as free space in RAM(+zram) gets available all the time, and some “LRU-hot” pages in SSD swap turn out to be actually cold, and those ones are the only ones that actually stay there.
This is why, I would imagine a lot of fake scenarios, and “benchmarks” based on them, may fail to replicate the practical reality of many (overall system) use-cases.
More tangentially, the oversized concern for file caching pages also points to specific aligned use-cases in mind, as if everyone is running DB-centric workloads or something.