It's part of a node that's used for more serious things (training, RL) and supports multiple users, so HW price doesn't really enter the picture. If you were running locally, DS4.1F has 300GB of tensor weights so you'd ideally want at least 4xPRO 6000 (which I'd guess should get you in the 150 tok/s range w/ DSpark), but people are using Xolotl/Maya/etc w/ quants and getting 25 tok/s decode on a single 4090/3090, so it can be run at a reasonable price.
For best "bang per buck" I think Qwen 3.8 Flash Next (or Qwen 3.8 27B even) makes a lot more sense for most people - you can run qwen38fn at 100+ tok/s w/ Strata (hot expert offloading) 200+ tok/s on 2 x PRO 6000, it does almost as well as ds41f at most tasks (it's much less token efficient than other options, and it sucks at AI/ML tasks though).
For best "bang per buck" I think Qwen 3.8 Flash Next (or Qwen 3.8 27B even) makes a lot more sense for most people - you can run qwen38fn at 100+ tok/s w/ Strata (hot expert offloading) 200+ tok/s on 2 x PRO 6000, it does almost as well as ds41f at most tasks (it's much less token efficient than other options, and it sucks at AI/ML tasks though).