Can DeepSeek R1 Distill 32B run on Radeon PRO W7900 DS 48GB?

YES — Runs Great

A76Great

○Estimated from fit model

DeepSeek R1 Distill 32B needs ~29.1 GB VRAM. Radeon PRO W7900 DS 48GB has 48.0 GB. With Q4_K_M quantization, expect ~28 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced

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) — 29.1 GB, 28.2 tok/s, Runs well

29.1 GB required48.0 GB available

61% VRAM used

Fit status

Runs well

Decode

28.2 tok/s

TTFT

6864 ms

Safe context

33K

Memory

29.1 GB / 48.0 GB

Memory breakdown

Weights19.5 GB

KV Cache3.9 GB

Runtime0.9 GB

Headroom4.8 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill 32B on Radeon PRO W7900 DS 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: 28.2 tok/s decode · 6.9s TTFT (warm) · 71 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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	28.2 tok/s	3744 ms	33K
Coding	A	Runs well	28.2 tok/s	6864 ms	33K
Agentic Coding	A	Runs well	28.2 tok/s	9984 ms	33K
Reasoning	A	Runs well	28.2 tok/s	8112 ms	33K
RAG	A	Runs well	28.2 tok/s	12481 ms	33K

Quantization options

How DeepSeek R1 Distill 32B (32B params) fits at each quantization level on Radeon PRO W7900 DS 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	B69
Q3_K_S	3	15.7 GB	Low	A70
NVFP4	4

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 Radeon PRO W7900 DS 48GB can run

Model	Params	Grade	Decode	Capabilities
👁 Alibaba Qwen 3.6 35B A3B	35B	S	64.8 tok/s
👁 Alibaba

Frequently asked questions

See all results for Radeon PRO W7900 DS 48GB See all hardware for DeepSeek R1 Distill 32B

URL: https://willitrunai.com/can-run/deepseek-r1-distill-32b-on-radeon-pro-w7900-ds-48gb

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