Posting this in case it saves someone else a little time.

If you were starting from scratch today for this use case, what would you choose first and what would you ignore?

I'm especially interested in mistakes worth avoiding.

I'm trying to sanity-check my setup.

I'm trying to decide whether to keep the current stack or change course. Main question is how people here are handling tokens/sec.

Would appreciate practical advice rather than theory.

Has anyone else run into this?

My current setup is LM Studio with GB200, and I keep running into token cost.

If you've tested something similar, what did you keep and what did you stop bothering with?

My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.

This keeps coming up in conversation so I figured I'd start a thread.

One thing I keep noticing is that people underestimate router policy until they actually try to run this stuff for more than one afternoon.

Wondering if this is just where the whole space is heading now.

Spent some time on this today and wanted to compare notes.

I'm comparing two approaches here: keep it simple on B200, or squeeze more out of the stack and deal with the complexity.

Interested in tradeoffs more than fan loyalty. The logs were somehow calmer than I was.

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: Kimi, vLLM, dual 3090, with a lot of attention on NVFP4.

Feel free to tear it apart if you see something dumb.

Wanted to compare notes with people doing similar things.

I'm trying to decide whether to keep the current stack or change course. Main question is how people here are handling tool calling.

Not looking for the perfect answer, mostly what worked in real use.

I care more about stability than squeezing the last possible tokens/sec out of it. At this point the real bottleneck is my patience.

Did a bit of testing and thought I'd post the result here.

After a few runs on A6000, I ended up with decent performance, but the setup only really made sense once I adjusted around consumer GPUs.

Curious if anyone else landed in the same place.

Posting this in case it saves someone else a little time.

I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about prefix caching.

I'm especially interested in mistakes worth avoiding.

This is mostly for local work rather than public serving.

Spent some time on this today and wanted to compare notes.

I've gone back and forth between MLX and Ollama for Llama. The interesting difference for me has been HBM constraints.

What would you pick if you had to live with it for a few months?