llamaperf

Qwen3.8 27B

on 4× NVIDIA RTX 5070 Ti · vLLM · 65,536 ctx

Tone: positiveNVIDIA hardware
Sep 24, 2026
Throughput
82.2 t/s gen · 6488.4 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
FP8 (FP8)
VRAM reported
16 GB

Summary

User benchmarks Qwen3.8 27B FP8 on a quad RTX 5070 Ti 16GB node, reporting 82.21 t/s generation and 6488.44 t/s prompt processing at depth 0. Setup is vLLM 0.30 on Ubuntu 24.04 with CUDA 13.2, tensor-parallel-size 4, 65536 max model length, 0.85 GPU memory utilization, and no speculative decoding. GPUs are connected through a PLX 88096 PCIe switch with P2P enabled within the node. A second quad RTX 5060 Ti 16GB node reached 43.35 t/s generation and 3218.53 t/s prompt processing on the same model. Throughput scales roughly linearly with GPU tier, and the user notes results are stock with no overclock or undervolt.