As someone doing this for fun on a windows 11 machine (96gb ram, 5090 24gb) I wonder if I need any flags to keep the model in memory and avoid swapping to ssd?

I use LM studio and qwen3.5 35B - but never figured out if it is swapping or not.

Om am unrelated note, does anyone know a model that can help with this use case:

https://news.ycombinator.com/item?id=48301635

I also run a Qwen 3.6 moe A4B on old hardware. I set it up with

numactl --membind=1

so it is constrained to one of the memory sticks which speeds up token generation a little.

Well, lets get started. I have 4 of those machines, and they are Two dual processor. They all had 32GB of ram, so now I have two with 64GB, and two with zero. They all hand stock K5000s, now how two have two cards. I stripped the uni processors ram and video cards, and put those into the dual procs. They have 256Gb SSDs, and two 1TB disk drives. One machine has 8Gb of VRam across two cards. Dual processors are 8Cx2 and 32 Threads. They can easily play 16 videos at once. For AI, I have not found a model that I can get above 3 tokens a second. Not a one.

When you use page up and page down key when reading that blog the first line on the screen is obscured by the floating bar or what ever it is. It is not even needed for reading.

The webpage's layout is just horrible. Scrolling is also non-default - and thus rather annoying; I had to stop after two scroll events. Why do people think they need so much fancy effects or non-standard behaviour, if their alleged goal is to get information across to other people?

Might consider going for even older CPUs which don't have the Intel ME ring -3 thing which is full of backdoors

Now we need someone try run Kimi K2.6 on old Xeon and DDR3. After all these platforms do support up to 768GB RAM.

[flagged]

[dead]

> The argument for speculative decoding is stronger on CPU than on GPU.

Uh. Uuuh.

No?

___

Also

> While a GPU has a massive pool of ultra-fast High-Bandwidth Memory (HBM), a CPU relies on small, lightning-fast “caches” (L1, L2, L3) built directly onto the processor chip.

What purpose does the quoting of "caches" serve there? Is this AI writing written by that model running on that host?