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Can the NVIDIA RTX PRO 6000 Blackwell run Qwen3 235B-A22B?

RTX PRO 6000 Blackwell × Qwen3 235B-A22B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K90.3 GB of 96 GB
Weights 88.2 GBKV cache 1.6 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~130tokens per second
Max context32Kthe 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

Only just. Qwen3 235B-A22B fits on the NVIDIA RTX PRO 6000 Blackwell at Q2_K, which costs noticeable quality. Expect about 130 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default qwen3:235b download is Q4_K_M, which needs about 144.7 GB, more than the 96 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

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

Run it in the cloud

Want full quality? Run Qwen3 235B-A22B on a bigger rented GPU.

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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 quality472.4 GBToo big—
Q8_0Near-lossless252 GBToo big—
Q6_KExcellent195 GBToo big—
Q5_K_MVery good169.4 GBToo big—
Q4_K_MGood, most popular144.7 GBToo big—
Q3_K_MNoticeably degraded117.1 GBToo big—
Q2_KHeavily degraded90.3 GBFits~130 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 Qwen3 235B-A22B 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 Qwen3 235B-A22B 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 -- qwen3:235b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3:235b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen3 235B-A22B comfortably

Check Mac Studio M3 Ultra (256 GB) prices

Models that run well on the NVIDIA RTX PRO 6000 Blackwell

Frequently asked questions

Can NVIDIA RTX PRO 6000 Blackwell run Qwen3 235B-A22B?

Only just. Qwen3 235B-A22B fits on the NVIDIA RTX PRO 6000 Blackwell at Q2_K, which costs noticeable quality. Expect about 130 tokens/second. A card with more memory is a better experience.

How much VRAM does Qwen3 235B-A22B need?

About 144.7 GB at Q4_K_M with 8,192 tokens of context, and about 472.4 GB at full FP16 precision.

How fast is Qwen3 235B-A22B on the NVIDIA RTX PRO 6000 Blackwell?

Roughly 130 tokens per second at Q2_K, estimated from the NVIDIA RTX PRO 6000 Blackwell's 1792 GB/s memory bandwidth.