yeah, at some point memory footprint becomes an architectural constraint again, not just a number you throw more hardware at.
This is driven by AI and at a certain point you just need a minimum amount of memory to load all the floating points representing Neural Net weights.
The memory capacity wall has been coming at us at high speed in plain sight for decades. We've been ignoring it.
No more two-space copying garbage collectors.