Can RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W) run Qwen3.8 27B?

Q: Can RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W) run Qwen3.8 27B?

Yes. Measured 150 tok/s generation on RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W), via vLLM 0.27.1, NVFP4 (W4A16) + MTP (5 draft tokens), 256K context. Source: https://www.vaditaslim.com/blog/ai/qwen3.8-27b-two-rigs

Yes. Measured 150 tok/s generation (vLLM 0.27.1, NVFP4 (W4A16) + MTP (5 draft tokens), 256K context; source).

Every measured result for Qwen3.8 27B on RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W)

Build	Quant / setup	Engine	tok/s
RTX Pro 6000 Blackwell Max-Q (300 W cap): Qwen3.8 27B on vLLM, NVFP4 vs BF16	NVFP4 (W4A16) + MTP (5 draft tokens), 256K context	vLLM 0.27.1	150	source
RTX Pro 6000 Blackwell Max-Q (300 W cap): Qwen3.8 27B on vLLM, NVFP4 vs BF16	BF16 + MTP (5 draft tokens), 256K context	vLLM 0.20.1	85	source

Memory: RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W) has 96 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 Spark N1X · Radeon AI Pro R9700 · Strix Halo (Radeon 8060S)

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