09-24-2026, 05:11 AM
Need a little more detail here. Are you testing this on A6000 or something else? Turns out 'just one more test' was a lie.
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speculative decoding in llama.cpp
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09-24-2026, 05:11 AM
Need a little more detail here. Are you testing this on A6000 or something else? Turns out 'just one more test' was a lie.
09-24-2026, 05:28 PM
A couple questions before I guess too hard. Do you see the same thing with a smaller batch or shorter prompt?
2x3090 • llama.cpp • too much VRAM is still not enough
09-26-2026, 06:09 AM
I think the bottleneck is somewhere else. I get why that seems right, but on A6000 the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one.
09-26-2026, 10:37 AM
That matches what I was seeing. The pattern around prefill/decode split has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
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