vLLM Qwen 3.6-27B (AWQ-INT4) + DFlash speculative decoding on AMD Strix Halo (gfx1151 iGPU, 128 GB UMA, ROCm 7.13). 24.8 t/s single-stream, vision, tool calling, 256K context, OpenAI-compatible, Docker. Matches DGX Spark FP8+DFlash+MTP at a third of the cost. No CUDA.
docker rocm openai-api awq vllm llm-inference speculative-decoding multimodal-llm qwen3 gfx1151 ryzen-ai-max dflash amd-strix-halo rdna35 27b
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Updated
Apr 27, 2026 - Python