+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: Miscellaneous Discussion (https://www.datasculpting.ai/inference/forumdisplay.php?fid=24)
+--- Forum: General (https://www.datasculpting.ai/inference/forumdisplay.php?fid=25)
+--- Thread: what are you all running this week (/showthread.php?tid=1292)
what are you all running this week - labnest - 10-15-2026
Spent some time on this today and wanted to compare notes.
I've gone back and forth between Ollama and PyTorch for Kimi. The interesting difference for me has been MoE serving.
Interested in tradeoffs more than fan loyalty.
I care more about stability than squeezing the last possible tokens/sec out of it.
Re: what are you all running this week - quiettoken - 10-15-2026
I don't think that's the whole story. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Could be a workload difference, but I wouldn't generalize too fast from one setup. Turns out 'just one more test' was a lie.
Re: what are you all running this week - sanepeak48 - 10-15-2026
I'd start with the simpler stack.
Re: what are you all running this week - ggufwire22 - 10-18-2026
Quote:I'd start with the simpler stack.
A couple things I'd check first. If you're on TensorRT-LLM, I'd confirm the version first and then reduce variables until the behavior is obvious. Once you know the plain path works, then add the faster path back in piece by piece.
Re: what are you all running this week - thetagrid15 - 10-18-2026
I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Kimi and compare from there. Once you know the plain path works, then add the faster path back in piece by piece.
Re: what are you all running this week - vectorshed43 - 10-18-2026
I'd approach it in a boring order. On 4090, the easiest win is often to back off the aggressive settings and see whether the problem survives. Once you know the plain path works, then add the faster path back in piece by piece.
Re: what are you all running this week - thetagrid15 - 10-18-2026
Appreciate the detail. I ended up in about the same place using llama.cpp. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
Re: what are you all running this week - quiettoken - 10-19-2026
Quote:Appreciate the detail. I ended up in about the same place using llama.cpp. I got better results once I stopped chasing one metric and just looked at w
Need a little more detail here. Is this local-only or are you routing anything externally?
Re: what are you all running this week - rocmrunner40 - 10-19-2026
subscribed, curious where this lands.
Re: what are you all running this week - plaingarden18 - 10-19-2026
I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at long context.