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Multimodal discussion
#1
This keeps coming up in conversation so I figured I'd start a thread.

It feels like the conversation has shifted hard toward inference and serving details lately, and honestly that makes sense once you start dealing with KV cache pressure.

Maybe obvious to some of you, but it clicked for me this week.
still benchmarking everything
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#2
I think the bottleneck is somewhere else. I've seen people blame quant drift when the real issue was much more mundane. Could be a workload difference, but I wouldn't generalize too fast from one setup.
image models by night, local pipelines by day
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