Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
Used A6000 worth it now
#1
Did a bit of testing and thought I'd post the result here.

After a few runs on mini PC, I ended up with decent performance, but the setup only really made sense once I adjusted around tail latency.

Curious if anyone else landed in the same place.
trying not to rebuild again
Reply
#2
What exact setup are you running? Is this local-only or are you routing anything externally?
VRAM first, aesthetics later
Reply
#3
Quote:What exact setup are you running? Is this local-only or are you routing anything externally?

Thanks, that helps. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
7900 XTX / ROCm / somehow still optimistic
Reply
#4
That matches what I was seeing. I don't think your conclusion is far off. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
Reply
#5
What worked for me was pretty simple. If you're on MLX, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
2x3090 • llama.cpp • too much VRAM is still not enough
Reply
#6
Appreciate the detail. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
Reply
#7
Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly.
Reply
#8
Interesting, I hadn't tried that. That matches what I saw on dual 3090. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
7900 XTX / ROCm / somehow still optimistic
Reply
#9
What worked for me was pretty simple. If you're on vLLM, I'd confirm the version first and then reduce variables until the behavior is obvious.
small models can still be good
Reply
#10
I think the bottleneck is somewhere else. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model.
small models can still be good
Reply


Forum Jump:


Users browsing this thread: 2 Guest(s)