llamaperf

Qwen3-Coder 30B (3B active)

on AMD Instinct MI300X 192GB · SGLang · 131,072 ctx

Tone: positiveAMD hardware
Oct 16, 2026
Throughput
173.0 t/s gen
Quant
BF16 (safetensors)
VRAM reported
192 GB

Use cases

coding

Summary

User benchmarks Qwen3-Coder-30B-A3B in BF16 on a single MI300X 192GB, reporting 173 tok/s decode on a 32K prompt with SGLang defaults. Setup is SGLang 0.5.21 with a 131K context window, prefix caching off, and 256-token replies; vLLM 0.29.1 with AITER attention reached 164 tok/s and llama.cpp (HIP) 108 tok/s with a 20.5 s first token. SGLang was fastest from 1 to 64 users; vLLM only pulled ahead at 128 users. Prefix caching was the only tuning knob that helped, adding 8 to 11 percent. The user notes vLLM without AITER attention collapsed to 27 tok/s total on 16 users with 32K prompts versus 133 on SGLang.