llamaperf

Qwen3.8 27B

on 2× NVIDIA RTX Pro 4000 Blackwell · NInfer · 39,843 ctx

NVIDIA hardware
Nov 9, 2026
Throughput
111.1 t/s gen · 5634.0 tokens/s prompt processing (prefill)Prompt processing is how fast the input is read, not how long you wait for the first word. How to measure time to first token.
Quant
QUASAR mixed NVFP4/FP8
VRAM reported
24 GB

Use cases

codingmath

Summary

User benchmarks Qwen3.8-27B at 155.9 t/s decode on a ~40k-token prompt using two RTX PRO 4000 Blackwell 24GB cards in tensor parallel 2. Setup is NInfer v0.9.0 (ninfer-serve, CUDA) with a QUASAR mixed NVFP4/FP8 artifact, int8 KV cache, 262144-token context and DFlash2 speculative decoding with 7 draft tokens; GPUs are power-capped to 145 W each. A second long-context run gave 163.8 t/s decode and 5590 t/s prefill; prose decode was 111.1 t/s and short reasoning tasks averaged 204.7 t/s with 10/10 correct. A ~9k-token prompt had a median TTFT of 1.31 s. Timings are client-side, one request at a time.