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

Two paths both seem viable, but they break down differently once batch size becomes important.

Interested in tradeoffs more than fan loyalty.

For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day.

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

I'm comparing two approaches here: keep it simple on GB200, or squeeze more out of the stack and deal with the complexity.

Interested in tradeoffs more than fan loyalty.

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 reranking.

Simple and boring is a valid answer.

Thought I'd post a small recipe because a lot of threads ask similar things.

This isn't revolutionary, but the combination of PyTorch and B200 felt surprisingly usable once I tuned around long context.

If someone wants the exact settings I can clean them up and post them.

Has anyone else run into this?

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

Would appreciate practical advice rather than theory.

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

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

I've gone back and forth between Ollama and vLLM for FLUX. The interesting difference for me has been MoE serving.

Interested in tradeoffs more than fan loyalty.

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 batch size.

Nothing scientific here, just practical notes from a real setup.

This is mostly for local work rather than public serving.

The part that surprised me was how much the boring details mattered more than the model choice.

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 long context.

Would appreciate practical advice rather than theory.

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?

Simple and boring is a valid answer.

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: FLUX, Ollama, 7900 XTX, with a lot of attention on long context.

Maybe useful as a starting point for newer folks.