Will It Run AI

Can Mistral Small 3.2 24B run on Quadro RTX 8000 48GB?

YES — Runs Great

A83Great
Estimated from fit model

Mistral Small 3.2 24B needs ~23.1 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~34 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: 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) 23.1 GB, 34.0 tok/s, Runs well
23.1 GB required48.0 GB available
48% VRAM used

Fit status

Runs well

Decode

34.0 tok/s

TTFT

5686 ms

Safe context

131K

Memory

23.1 GB / 48.0 GB

Memory breakdown

Weights14.6 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom4.8 GB

See how fast it feels

See how fast it feelsMistral Small 3.2 24B on Quadro RTX 8000 48GB
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: 34.0 tok/s decode · 5.7s TTFT (warm) · 85 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatARuns well34.0 tok/s3102 ms131K
CodingARuns well34.0 tok/s5686 ms131K
Agentic CodingARuns well34.0 tok/s8271 ms131K
ReasoningARuns well34.0 tok/s6720 ms131K
RAGARuns well34.0 tok/s10338 ms131K

Quantization options

How Mistral Small 3.2 24B (24B params) fits at each quantization level on Quadro RTX 8000 48GB (48.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowA77
Q3_K_S
3
11.8 GB
LowA77
NVFP4
4
13.4 GB
MediumA78
Q4_K_M
4
14.6 GB
MediumA78
Q5_K_M
5
17.3 GB
HighA79
Q6_K
6
19.7 GB
HighA80
Q8_0Best for your GPU
8
25.7 GB
Very HighA82
F16
16
49.2 GB
MaximumF0

Get started

Copy-paste commands to run Mistral Small 3.2 24B on your machine.

Run

ollama run mistral-small3.2

Your hardware

More models your Quadro RTX 8000 48GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BS70.1 tok/s
AlibabaQwen 3.5 27B27BS30.4 tok/s
AlibabaQwen 3.6 27B27BS30.5 tok/s
AlibabaQwen 3.6 35B A3B35BS58.9 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BS72.5 tok/s

Frequently asked questions

Can Quadro RTX 8000 48GB run Mistral Small 3.2 24B?

Yes, Quadro RTX 8000 48GB can run Mistral Small 3.2 24B with a A grade (Runs well). Expected decode speed: 34.0 tok/s.

How much VRAM does Mistral Small 3.2 24B need?

Mistral Small 3.2 24B (24B parameters) requires approximately 23.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Mistral Small 3.2 24B?

The recommended quantization for Mistral Small 3.2 24B is Q4_K_M, which balances quality and memory efficiency.

What speed will Mistral Small 3.2 24B run at on Quadro RTX 8000 48GB?

On Quadro RTX 8000 48GB, Mistral Small 3.2 24B achieves approximately 34.0 tokens per second decode speed with a time-to-first-token of 5686ms using Q4_K_M quantization.

Can Quadro RTX 8000 48GB run Mistral Small 3.2 24B for coding?

For coding workloads, Mistral Small 3.2 24B on Quadro RTX 8000 48GB receives a A grade with 34.0 tok/s and 131K context.

What context window can Mistral Small 3.2 24B use on Quadro RTX 8000 48GB?

On Quadro RTX 8000 48GB, Mistral Small 3.2 24B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for Quadro RTX 8000 48GBSee all hardware for Mistral Small 3.2 24B
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