Can 2x RTX 5090 run Qwen3.8 27B?
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Every measured result for Qwen3.8 27B on 2x RTX 5090
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| 2x RTX 5090 FE (Ryzen 9 9950X, llama.cpp b11910): Qwen3.6 35B-A3B Q4_K_M at 274 tok/s, Qwen3.8 27B Q4_K_M at 73 (llama-bench, one card) | Q4_K_M (19.0 GB) | llama.cpp b11910 (CUDA 13.4), one card (FE A) | 73 | source |
| 2x RTX 5090 FE (Ryzen 9 9950X, llama.cpp b11910): Qwen3.6 35B-A3B Q4_K_M at 274 tok/s, Qwen3.8 27B Q4_K_M at 73 (llama-bench, one card) | Q8_0 (28.6 GB) | llama.cpp b11910 (CUDA 13.4), one card (FE A) | 53 | source |
Memory: 2x RTX 5090 has 64 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 DGX Spark (GB10) · 2x Intel Arc Pro B70 · 2x RTX 3060 12GB · 2x RTX 3090 · 2x RTX 5070 Ti · 2x Tesla V100 32GB · 4x Apple M5 Ultra · Apple M2 Ultra · Apple M3 Ultra · Apple M5 Ultra · DGX Spark (GB10) · Intel Arc Pro B70 · RTX 3060 12GB · RTX 3090 · RTX 4060 Ti 16GB · RTX 4090 · RTX 5060 Ti 16GB · RTX 5070 Ti · RTX 5090 · RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W) · RTX Spark N1X · Radeon AI Pro R9700 · Strix Halo (Radeon 8060S)
Other models measured on 2x RTX 5090: Qwen3.6 35B-A3B
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