10-06-2026, 08:34 AM
My first guess would be this: On dual 3090, the easiest win is often to back off the aggressive settings and see whether the problem survives.
learning in public
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Tensor cores actually helping here on B200
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10-06-2026, 08:34 AM
My first guess would be this: On dual 3090, the easiest win is often to back off the aggressive settings and see whether the problem survives.
learning in public
10-06-2026, 04:39 PM
I think the bottleneck is somewhere else. I get why that seems right, but on mini PC the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one.
10-07-2026, 01:13 AM
Can you fill in a bit more context? What model, what runtime, and roughly what context size?
Mostly CUDA, sometimes wrong, usually measured
10-10-2026, 01:33 AM
I'd start with the simpler stack.
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