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Can the NVIDIA RTX PRO 6000 Blackwell run Llama 4 Scout 17B-16E?

RTX PRO 6000 Blackwell × Llama 4 Scout 17B-16E8K context
YesRuns fully on the GPU
Memory at Q6_K91.6 GB of 96 GB
Weights 89.4 GBKV cache 1.6 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~77tokens per second
Max context29Ktokens that fit at Q6_K
  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 Llama 4 Scout 17B-16E fully in VRAM at Q6_K (excellent), using about 91.6 GB of the 96 GB available, at roughly 77 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 4 Scout 17B-16E:

ollama run llama4:scout

Ollama's default download is Q4_K_M (about 68.3 GB here). You have room for Q6_K, which is excellent: 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 Llama 4 Scout 17B-16E 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 quality220.2 GBToo big—
Q8_0Near-lossless118 GBToo big—
Q6_KExcellent91.6 GBFits~77 tok/s
Q5_K_MVery good79.7 GBFits~89 tok/s
Q4_K_MGood, most popular68.3 GBFits~104 tok/s
Q3_K_MNoticeably degraded55.5 GBFits~129 tok/s
Q2_KHeavily degraded43.1 GBFits~169 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 Llama 4 Scout 17B-16E 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 Llama 4 Scout 17B-16E 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 -- llama4:scout

Windows (PowerShell)

$env:GPUFIT_MODEL="llama4:scout"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Llama 4 Scout 17B-16E comfortably

Models that run well on the NVIDIA RTX PRO 6000 Blackwell

Frequently asked questions

Can NVIDIA RTX PRO 6000 Blackwell run Llama 4 Scout 17B-16E?

Yes. The NVIDIA RTX PRO 6000 Blackwell can run Llama 4 Scout 17B-16E fully in VRAM at Q6_K (excellent), using about 91.6 GB of the 96 GB available, at roughly 77 tokens/second.

How much VRAM does Llama 4 Scout 17B-16E need?

About 68.3 GB at Q4_K_M with 8,192 tokens of context, and about 220.2 GB at full FP16 precision.

How fast is Llama 4 Scout 17B-16E on the NVIDIA RTX PRO 6000 Blackwell?

Roughly 77 tokens per second at Q6_K, estimated from the NVIDIA RTX PRO 6000 Blackwell's 1792 GB/s memory bandwidth.