> Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work.

Well, that does at least answer my immediate question about why I would ever swap from expensive RAM to really expensive RAM:) Feels niche, but when you want it it's a good idea.

Nice idea, but something has gone very wrong here:

>Sequential throughput: ~1.3 GB/s

[on a RTX 3070 Laptop]

This RTX 3070 chip is on PCIe 4.0 x16 which should give 64GB/s. The 8GB of GDDR6 is 448GB/s.

Swapping to an NVMe drive would be twice as fast, but with higher latency.

No software benchmarks? BAR for RAM is cool but I want to see how much it _actually_ beats pcie nvme

Given my dev machine has 32GB of RAM and 32GB of VRAM that sits mostly idle when I'm not running AI models, this is not that bad of an idea.

Finally a use for the expensive ram when it's not needed in workloads!

Now if it could be dynamically used and vacated on other GPU workloads?

Remember how 16GBs used to be an enterprise level database mainframe?

Well, GPUs also have stupid amounts of compute on them. I have to imagine that there is some kind of database format that's useful with GPU compute attached.

Since the data is already in VRAM, the GPU can sort, join, or otherwise manipulate data as needed.

I'm more interested in the opposite. Nvidia linux drivers crash when you try to address more VRAM than you have. It'd be nice if they didn't.

You want to waste VRAM, in this economy?

Q: Why? A: Why not?

use your car for an anchor on a big boat!

RAM disks have always fascinated me. In a different timeline every PC has a 100gb of RAM and 50TB HDDs are the norm.

I mean, cool, but I’d rather not?