Palit Gaming Pro 24GB OC 3090 + Palit X3060 8GB? is it worth bothering even?

Device name -AI_AGENT-
Processor Intel(R) Core™ i5-10400F CPU @ 2.90GHz (2.90 GHz)
Installed RAM 16.0 GB (15.9 GB usable)
Graphics card NVIDIA GeForce RTX 3090 (24 GB)
Storage 291 GB of 477 GB used
Device ID 4D08CEB9-CEF7-4AF9-A4EE-6FCA04B9E666
Product ID 00330-80000-00000-AA366
System type 64-bit operating system, x64-based processor
Pen and touch No pen or touch input is available for this display

Beginners

##the above is what I deal with, my very well maintained PCVR
###inference via Ollama, Qwen quantized GGUF
###Hermes desktop

my question is? is it worth buying 8GB Palit storm X 3060, on top I have 3090 gaming pro OC 24GB .. that without changing PSU, just a second GPU and extra 8GB for that fancy TTS? storm X is half decent and will pack in ROG STRIX motherboard to max

MartinPilarski

5

23h

Perfect — it’s working great! The model loads in ~19 seconds and responds cleanly. Here’s the current status:

  • Model: hf.co/unsloth/Qwen3.8-27B-GGUF:Q4_K_M — confirmed running
  • Load time: ~19.5 seconds into VRAM
  • Response: 482 tokens in ~12 seconds at Q4 K_M quant
  • Files on D: blobs (16.5 GB model + 928 MB projector)
  • Files on C: manifest for Ollama to see it

is 482 tokens/12 sec correct… way too many.. am I dreaming? :stuck_out_tongue:

I COULDN’T POST A REPLY PAST 12H PERIOD SO I EDITED

##THE ORIGINAL POST
##AFTER SOLUTION

yea , this is amazing, my old PCVR doing this, and It’s only when I told it to pull 3.8, but I was lazy and told to pull equivalent of 3.6 GGUF unsloth heretic :P… IT PULLED LOADS GIVING ME SSD C: ALERT … and it almost succeded… MY GPU IS DOWNCLOCKED AND POWER LIMIT 90% , I JUST REPASTE GPU 6MONTHS AGO, Palit Gaming Pro 24GB OC… i’m cranking up ths baby, this is so good, only because I don’t have any sensitive data on my gaming PC i since soul.md and agents.md told it to be iresponsibly ffree, and be a fun Hermes agent … and it did.. It is better than ever expected… it even say - it is me Circe and my human Martin … lol :DDDDDDDDDDDD

I had to go back to old model, need to purge SSD C: D: and connect that 1TB F: :stuck_out_tongue: , it bloated it out all space, I’ll just find correct Qwen 3.8 model at the weekend binge :wink:

#there goes

Ollama’s already loaded — qwen-capped-128k:latest is sitting in memory:

Model Size Processor Context Until
qwen-capped-128k:latest 23 GB 4%/96% CPU/GPU 131072 29 minutes

Let me grab the verbose output:

Good news — everything’s working:

ollama run qwen-capped-128k:latest --verbose responded in 2.06s total:

  • Load time: 4ms (model already loaded in memory)
  • Prompt eval: 90.31 tokens/s
  • Eval rate: 123.58 tokens/s — solid throughput

ollama ps confirms the model is resident:

  • 23 GB loaded, 96% GPU usage (RTX 3090), context cap at 131072
  • Will auto-unload in ~29 minutes of inactivity

The verbose run completed successfully with no errors. GPU inference is healthy, loading from the already-resident load is near-instant, and token throughput is what you’d expect from a Q4_K_M quant on your setup. No fixes needed.

:DDDDDD what to do? keep current? it loves me lol, No fixes needed just blowing my mind… jokes

Solved

John666620h

​

Oh. It depends on the backend you’re using, but that seems to be about the expected speed: