Will It Run AI

Can DeepSeek R1 Distill 32B run on RTX PRO 6000 Blackwell Server Edition 96GB?

YES — Runs Great

A74Great
Estimated from fit model

DeepSeek R1 Distill 32B needs ~34.2 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~69 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: 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) 34.2 GB, 74.2 tok/s, Runs well
34.2 GB required96.0 GB available
36% VRAM used

Fit status

Runs well

Decode

74.2 tok/s

TTFT

2608 ms

Safe context

33K

Memory

34.2 GB / 96.0 GB

Memory breakdown

Weights19.5 GB
KV Cache3.9 GB
Runtime1.2 GB
Headroom9.6 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill 32B 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: 74.2 tok/s decode · 2.6s TTFT (warm) · 186 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
ChatARuns well74.2 tok/s1423 ms33K
CodingARuns well68.7 tok/s2817 ms33K
Agentic CodingARuns well74.2 tok/s3794 ms33K
ReasoningARuns well74.2 tok/s3083 ms33K
RAGARuns well74.2 tok/s4743 ms33K

Quantization options

How DeepSeek R1 Distill 32B (32B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
12.5 GB
LowB65
Q3_K_S
3
15.7 GB
LowB65
NVFP4
4
17.9 GB
MediumB66
Q4_K_M
4
19.5 GB
MediumB66
Q5_K_M
5
23.0 GB
HighB66
Q6_K
6
26.2 GB
HighB67
Q8_0
8
34.2 GB
Very HighB69
F16Best for your GPU
16
65.6 GB
MaximumA73

Get started

Copy-paste commands to run DeepSeek R1 Distill 32B on your machine.

Run

ollama run deepseek-r1:32b

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
AlibabaQwen 3.6 35B A3B35BS170.5 tok/s
AlibabaQwen 3.5 35B A3B35BS185.4 tok/s
MistralMistral Small 4 119B119BS58.5 tok/s

Frequently asked questions

Can RTX PRO 6000 Blackwell Server Edition 96GB run DeepSeek R1 Distill 32B?

Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run DeepSeek R1 Distill 32B with a A grade (Runs well). Expected decode speed: 68.7 tok/s.

How much VRAM does DeepSeek R1 Distill 32B need?

DeepSeek R1 Distill 32B (32B parameters) requires approximately 34.2 GB of memory with Q4_K_M quantization.

What is the best quantization for DeepSeek R1 Distill 32B?

The recommended quantization for DeepSeek R1 Distill 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will DeepSeek R1 Distill 32B run at on RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, DeepSeek R1 Distill 32B achieves approximately 68.7 tokens per second decode speed with a time-to-first-token of 2817ms using Q4_K_M quantization.

Can RTX PRO 6000 Blackwell Server Edition 96GB run DeepSeek R1 Distill 32B for coding?

For coding workloads, DeepSeek R1 Distill 32B on RTX PRO 6000 Blackwell Server Edition 96GB receives a A grade with 68.7 tok/s and 33K context.

What context window can DeepSeek R1 Distill 32B use on RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, DeepSeek R1 Distill 32B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.

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