Rent a GPU

Can the NVIDIA RTX PRO 6000 Blackwell run Qwen3 Coder Next 80B-A3B?

RTX PRO 6000 Blackwell × Qwen3 Coder Next 80B-A3B8K context
YesRuns fully on the GPU
Memory at Q8_085.5 GB of 96 GB
Weights 84.7 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~337tokens per second
Max context256Kthe 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 Qwen3 Coder Next 80B-A3B fully in VRAM at Q8_0 (near-lossless), using about 85.5 GB of the 96 GB available, at roughly 337 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3 Coder Next 80B-A3B:

ollama run qwen3-coder-next

Ollama's default download is Q4_K_M (about 49.1 GB here). You have room for Q8_0, which is near-lossless: 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 Qwen3 Coder Next 80B-A3B 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 quality160.2 GBToo big—
Q8_0Near-lossless85.5 GBFits~337 tok/s
Q6_KExcellent66.2 GBFits~437 tok/s
Q5_K_MVery good57.5 GBFits~504 tok/s
Q4_K_MGood, most popular49.1 GBFits~591 tok/s
Q3_K_MNoticeably degraded39.8 GBFits~733 tok/s
Q2_KHeavily degraded30.7 GBFits~956 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 Coder Next 80B-A3B 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 Coder Next 80B-A3B 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-coder-next

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3-coder-next"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen3 Coder Next 80B-A3B comfortably

Models that run well on the NVIDIA RTX PRO 6000 Blackwell

Frequently asked questions

Can NVIDIA RTX PRO 6000 Blackwell run Qwen3 Coder Next 80B-A3B?

Yes. The NVIDIA RTX PRO 6000 Blackwell can run Qwen3 Coder Next 80B-A3B fully in VRAM at Q8_0 (near-lossless), using about 85.5 GB of the 96 GB available, at roughly 337 tokens/second.

How much VRAM does Qwen3 Coder Next 80B-A3B need?

About 49.1 GB at Q4_K_M with 8,192 tokens of context, and about 160.2 GB at full FP16 precision.

How fast is Qwen3 Coder Next 80B-A3B on the NVIDIA RTX PRO 6000 Blackwell?

Roughly 337 tokens per second at Q8_0, estimated from the NVIDIA RTX PRO 6000 Blackwell's 1792 GB/s memory bandwidth.