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Can the NVIDIA RTX PRO 6000 Blackwell run QwQ 32B?

RTX PRO 6000 Blackwell × QwQ 32B8K context
YesRuns fully on the GPU
Memory at FP1668.3 GB of 96 GB
Weights 65.6 GBKV cache 2.1 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~16tokens per second
Max context40Kthe model's full window
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX PRO 6000 Blackwell can run QwQ 32B fully in VRAM at FP16 (full quality), using about 68.3 GB of the 96 GB available, at roughly 16 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts QwQ 32B:

ollama run qwq:32b

Ollama's default download is Q4_K_M (about 22.6 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX PRO 6000 Blackwell

Run it in the cloud

No NVIDIA RTX PRO 6000 Blackwell? Run QwQ 32B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 96 GB the NVIDIA RTX PRO 6000 Blackwell can use.

QuantQualityMemoryFits?Speed
FP16Full quality68.3 GBFits~16 tok/s
Q8_0Near-lossless37.6 GBFits~31 tok/s
Q6_KExcellent29.6 GBFits~40 tok/s
Q5_K_MVery good26.1 GBFits~46 tok/s
Q4_K_MGood, most popular22.6 GBFits~54 tok/s
Q3_K_MNoticeably degraded18.8 GBFits~67 tok/s
Q2_KHeavily degraded15 GBFits~87 tok/s

Measured speed from real RTX PRO 6000 Blackwell owners

Tokens per second that people measured on their own NVIDIA RTX PRO 6000 Blackwell, next to our estimate.

No one has measured QwQ 32B on the NVIDIA RTX PRO 6000 Blackwell yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX PRO 6000 Blackwell? Add your real speed

One command times QwQ 32B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- qwq:32b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwq:32b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run QwQ 32B comfortably

Models that run well on the NVIDIA RTX PRO 6000 Blackwell

Frequently asked questions

Can NVIDIA RTX PRO 6000 Blackwell run QwQ 32B?

Yes. The NVIDIA RTX PRO 6000 Blackwell can run QwQ 32B fully in VRAM at FP16 (full quality), using about 68.3 GB of the 96 GB available, at roughly 16 tokens/second.

How much VRAM does QwQ 32B need?

About 22.6 GB at Q4_K_M with 8,192 tokens of context, and about 68.3 GB at full FP16 precision.

How fast is QwQ 32B on the NVIDIA RTX PRO 6000 Blackwell?

Roughly 16 tokens per second at FP16, estimated from the NVIDIA RTX PRO 6000 Blackwell's 1792 GB/s memory bandwidth.