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wrapped·Oct 15, 2026
/r/r_qibhq5bkmgq
your run

Nemotron-3.5-Bolt-74B-A9B-24GB-ctx16k

on RTX 4090
105.7
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7642 48-Core Processor (48c) + 252GB
rank in tier
18/31RTX 4090 runstop 58%
best workload
chat-short
where the rig flew
slowest workload
agent-trace102.0 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Yi-Coder-9B-Chat-4bit on M3 Ultra103.5 tok/s
  • llama3.2 on M1 Pro103.1 tok/s
  • Codestral-22B-v0.1 on RTX 5090100.3 tok/s
share
105.7 tok/s on RTX 4090 running Nemotron-3.5-Bolt-74B-A9B-24GB-ctx16k — top 58% of RTX 4090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_qibhq5bkmgq
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This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.