Posts: 35
Threads: 4
Joined: Oct 2026
Reputation:
0
Thought I'd post a small recipe because a lot of threads ask similar things.
Just sharing a setup that ended up working reasonably well: Qwen, TensorRT-LLM, Threadripper box, with a lot of attention on tail latency.
Feel free to tear it apart if you see something dumb.
I care more about stability than squeezing the last possible tokens/sec out of it.
I expected the biggest difference to come from the model, but the stack around it mattered at least as much.
trying not to rebuild again
Posts: 48
Threads: 5
Joined: Sep 2026
Reputation:
0
My first guess would be this: If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious. Not glamorous advice, but repeatable baselines save a lot of time.
Posts: 134
Threads: 18
Joined: Sep 2026
Reputation:
0
A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at continuous batching.
watching release notes so you don't have to
Posts: 37
Threads: 2
Joined: Aug 2026
Reputation:
0
I think the bottleneck is somewhere else. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Worth testing the simpler explanation before adopting the more interesting one.
Posts: 32
Threads: 2
Joined: Sep 2026
Reputation:
0
Can you fill in a bit more context? Is this local-only or are you routing anything externally?
Posts: 62
Threads: 5
Joined: Sep 2026
Reputation:
0
Quote:Can you fill in a bit more context? Is this local-only or are you routing anything externally?
I hit almost the same issue last night.
trying not to rebuild again
Posts: 22
Threads: 1
Joined: Sep 2026
Reputation:
0
worth checking the driver first.
Posts: 53
Threads: 4
Joined: Sep 2026
Reputation:
0
Tried to reproduce it just now. The issue went away once I changed one setting and restarted the stack cleanly.