wrapped·Oct 14, 2026
/r/r_ptct8o01o5lyour run
Qwen3.8-27B
on RTX 3090
37.6
tok/sdecode
RTX 3090 (24GB) + AMD EPYC 7C13 64-Core Processor (128c) + 1008GB
rank in tier
9/9RTX 3090 runstop 100%
best workload
chat-short
where the rig flew
slowest workload
agent-trace36.8 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen2.5-32B-Instruct-4bit on M3 Ultra34.6 tok/s
- Qwen2.5-Coder-32B-Instruct-4bit on M3 Ultra34.5 tok/s
- Qwen3-32B-4bit on M3 Ultra34.4 tok/s