Will It Run AI

Can Llama 4 Scout 17B 16E run on RTX PRO 6000 Blackwell Server Edition 96GB?

YES — Tight Fit

A80Great
Estimated from fit model

Llama 4 Scout 17B 16E needs ~80.2 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~51 tok/s.

Runtime: OllamaCapacity: TightBandwidth: HighStack: BasicBottleneck: Balanced
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Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 80.2 GB, 51.3 tok/s, Tight fit
80.2 GB required96.0 GB available
84% VRAM used

Fit status

Tight fit

Decode

51.3 tok/s

TTFT

3774 ms

Safe context

102K

Memory

80.2 GB / 96.0 GB

Memory breakdown

Weights66.5 GB
KV Cache2.9 GB
Runtime1.2 GB
Headroom9.6 GB

See how fast it feels

See how fast it feelsLlama 4 Scout 17B 16E on RTX PRO 6000 Blackwell Server Edition 96GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 51.3 tok/s decode · 3.8s TTFT (warm) · 128 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatATight fit51.3 tok/s2059 ms102K
CodingATight fit51.3 tok/s3774 ms102K
Agentic CodingATight fit51.3 tok/s5490 ms102K
ReasoningATight fit51.3 tok/s4460 ms102K
RAGATight fit51.3 tok/s6862 ms102K

Quantization options

How Llama 4 Scout 17B 16E (109B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
42.5 GB
LowA74
Q3_K_S
3
53.4 GB
LowA76
NVFP4
4
61.0 GB
MediumA76
Q4_K_M
4
66.5 GB
MediumA76
Q5_K_MBest for your GPU
5
78.5 GB
HighA76
Q6_K
6
89.4 GB
HighF0
Q8_0
8
116.6 GB
Very HighF0
F16
16
223.5 GB
MaximumF0

Get started

Copy-paste commands to run Llama 4 Scout 17B 16E on your machine.

Run

lms load Llama-4-Scout-17B-16E-Instruct && lms server start

Your hardware

More models your RTX PRO 6000 Blackwell Server Edition 96GB can run

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS19.4 tok/s
AlibabaQwen 3.5 122B A10B122BS53.9 tok/s
MistralMistral Small 4 119B119BS58.5 tok/s
OpenAIGPT-OSS 120B117BS20.4 tok/s
CohereCommand A 111B111BS21.6 tok/s

Frequently asked questions

Can RTX PRO 6000 Blackwell Server Edition 96GB run Llama 4 Scout 17B 16E?

Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run Llama 4 Scout 17B 16E with a A grade (Tight fit). Expected decode speed: 51.3 tok/s.

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

Llama 4 Scout 17B 16E (109B parameters) requires approximately 80.2 GB of memory with Q4_K_M quantization.

What is the best quantization for Llama 4 Scout 17B 16E?

The recommended quantization for Llama 4 Scout 17B 16E is Q4_K_M, which balances quality and memory efficiency.

What speed will Llama 4 Scout 17B 16E run at on RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, Llama 4 Scout 17B 16E achieves approximately 51.3 tokens per second decode speed with a time-to-first-token of 3774ms using Q4_K_M quantization.

Can RTX PRO 6000 Blackwell Server Edition 96GB run Llama 4 Scout 17B 16E for coding?

For coding workloads, Llama 4 Scout 17B 16E on RTX PRO 6000 Blackwell Server Edition 96GB receives a A grade with 51.3 tok/s and 102K context.

What context window can Llama 4 Scout 17B 16E use on RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, Llama 4 Scout 17B 16E can safely use up to 102K tokens of context. The model's official context limit is 10.5M, but available memory constrains the safe maximum.

See all results for RTX PRO 6000 Blackwell Server Edition 96GBSee all hardware for Llama 4 Scout 17B 16E
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