Can Radeon AI Pro R9700 run Qwen3.8 27B?
Every measured result for Qwen3.8 27B on Radeon AI Pro R9700
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| Radeon AI Pro R9700: Qwen3.8 27B on llama.cpp, Ollama and vLLM (Vadi Taslim) | Q4_K_M + MTP speculative decoding, reasoning on | llama.cpp Vulkan | 57 | source |
| Radeon AI Pro R9700: Qwen3.8 27B on llama.cpp, Ollama and vLLM (Vadi Taslim) | Q4_K_M | Ollama | 30 | source |
| Radeon AI Pro R9700: Qwen3.8 27B on llama.cpp, Ollama and vLLM (Vadi Taslim) | AWQ INT4, single request | vLLM (radiance) | 22 | source |
Memory: Radeon AI Pro R9700 has 32 GB. Qwen3.8 27B weights are about 16.5 GB at Q4_K_M (27B params × 4.89 bits ÷ 8, before context/KV cache). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.
Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.
All measured speeds for Qwen3.8 27B: best home rig for Qwen3.8 27B.
Qwen3.8 27B on other hardware: 2x Apple M5 Ultra · 2x Intel Arc Pro B70 · 2x RTX 5070 Ti · 2x Tesla V100 32GB · 4x Apple M5 Ultra · Apple M3 Ultra · Apple M5 Ultra · DGX Spark (GB10) · Intel Arc Pro B70 · RTX 3060 12GB · RTX 3090 · RTX 4060 Ti 16GB · RTX 5070 Ti · RTX 5090 · RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W) · RTX Spark N1X · Strix Halo (Radeon 8060S)
Other models measured on Radeon AI Pro R9700: Qwen3.6 27B · Qwen3.6 35B-A3B · gpt-oss 20B
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