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Run LLM Locally

Qwen3.8 27B on the RTX PRO 6000 Blackwell

With 96 GB of VRAM, the RTX PRO 6000 Blackwell runs Qwen3.8 27B at Q4_K_M entirely on the GPU with an 8K context (about 18.2 GB needed). At Q8_0 it fits entirely.

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Qwen3.8 27B

Q4_K_M · 8K context

Excellent

The model needs about 18.2 GB and fits in the 93.1 GB available, with 75 GB to spare.

Your hardware
RTX PRO 6000 Blackwell 96 GB · 64 GB RAM
Estimated memory
~18.2 GB estimate
VRAM (usable memory)
93.1 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
62–91 tok/s estimate
Largest context in fast memory
256K tokens
Confidence: low

Based on: memory bandwidth (1,792 GB/s) and model size

Memory breakdown

~18.2 GB (17.4 GB–18.9 GB) needed · estimate

Fits entirely in VRAM · 75 GB left

  • Model weights15.7 GB
  • KV cache0.6 GB
  • Runtime overhead1 GB
  • Safety margin0.9 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (CUDA) · flash attention on · weights = real file size

EstimateData updated 40 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card

What makes this estimate less reliable

  • no benchmark for this hardware and model yet

Other quantizations on the RTX PRO 6000 Blackwell

Qwen3.8 27B on RTX PRO 6000 Blackwell + 64 GB RAM · 8K context
Qwen3.8 27B Q8_08K~30.1 GB · 40–56 tok/s estimateExcellent
Qwen3.8 27B Q6_K8K~23.7 GB · 49–71 tok/s estimateExcellent
Qwen3.8 27B Q5_K_M8K~21.1 GB · 54–79 tok/s estimateExcellent
Qwen3.8 27B Q4_K_M8K~18.2 GB · 62–91 tok/s estimateExcellent
Qwen3.8 27B IQ4_XS8K~16.9 GB · 65–98 tok/s estimateExcellent
Qwen3.8 27B Q3_K_M8K~15.3 GB · 71–107 tok/s estimateExcellent

Alternatives

GPUs that run Qwen3.8 27B Q4_K_M entirely in VRAM

Other models that fit the RTX PRO 6000 Blackwell

Where to buy a RTX PRO 6000 Blackwell

Prices and links follow the market you choose.

RTX PRO 6000 Blackwell Workstation Edition

96 GB GDDR7 ECC · 1,792 GB/s · 600 W

ExcellentRuns Qwen3.8 27B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

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Frequently asked questions

Can the RTX PRO 6000 Blackwell run Qwen3.8 27B?
The model needs about 18.2 GB and fits in the 93.1 GB available, with 75 GB to spare.
Which quantization should I use on the RTX PRO 6000 Blackwell?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~30.1 GB / 93.1 GB.
What is the largest context on the RTX PRO 6000 Blackwell?
At Q4_K_M, about 256K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Qwen3.8 27B (RTX PRO 6000 Blackwell)?
We estimate 62–91 tok/s (estimate, confidence low). Based on: memory bandwidth (1,792 GB/s) and model size.