wrapped·Oct 15, 2026
/r/r_qfrb2zmyk0kyour run
Qwen3.8-27B
on RTX 5090
75.2
tok/sdecode
RTX 5090 (32GB) + AMD EPYC 9534 64-Core Processor (128c) + 756GB
rank in tier
57/178RTX 5090 runstop 32%
best workload
chat-short
where the rig flew
slowest workload
agent-trace73.5 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- phi-4-4bit on M3 Ultra74.4 tok/s
- Qwen2.5-14B-Instruct-4bit on M3 Ultra70.9 tok/s
- Qwen2.5-Coder-14B-Instruct-4bit on M3 Ultra70.5 tok/s