llamaperf

Qwen3.8 27B

on 3× NVIDIA V100 16GB · 256,000 ctx

Tone: positiveNVIDIA hardware
Sep 13, 2026
Throughput
30-40 t/s gen · 600-700 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q8
MTP (Multi-Token Prediction)
on
System RAM
64 GB
VRAM reported
16 GB

Use cases

agenticlong-context

Summary

User reports Qwen3.8 27B at 30-40 t/s decode and 600-700 t/s prefill on 3x V100 16GB. Setup uses Q8 quantization with speculative decoding, MTP, and prefix caching, tuned by an automated agent. On heavy agentic work at 256k context, decode dropped to around 20 t/s. Qwen3.8 Flash Next at Q4 ran at 20 t/s decode and 90 t/s prefill. The build cost around $1500 and uses a 3D printed cooling block; GPU temperatures stay under 55C.