Can Qwen 3 32B run on NVIDIA A40 48GB?

YES — Runs Great

S92Excellent

Estimated from fit model

Qwen 3 32B needs ~29.4 GB VRAM. NVIDIA A40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~30 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: BasicBottleneck: 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) — 29.4 GB, 30.2 tok/s, Runs well

29.4 GB required48.0 GB available

61% VRAM used

Fit status

Runs well

Decode

30.2 tok/s

TTFT

6401 ms

Safe context

92K

Memory

29.4 GB / 48.0 GB

Memory breakdown

Weights19.5 GB

KV Cache3.9 GB

Runtime1.2 GB

Headroom4.8 GB

See how fast it feels

See how fast it feelsQwen 3 32B on NVIDIA A40 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: 30.2 tok/s decode · 6.4s TTFT (warm) · 76 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	S	Runs well	30.2 tok/s	3491 ms	92K
Coding	S	Runs well	30.2 tok/s	6401 ms	92K
Agentic Coding	S	Runs well	30.2 tok/s	9311 ms	92K
Reasoning	S	Runs well	30.2 tok/s	7565 ms	92K
RAG	S	Runs well	30.2 tok/s	11638 ms	92K

Quantization options

How Qwen 3 32B (32B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	A85
Q3_K_S	3	15.7 GB	Low	S86
NVFP4	4	17.9 GB	Medium	S86
Q4_K_M	4	19.5 GB	Medium	S87
Q5_K_M	5	23.0 GB	High	S88
Q6_K	6	26.2 GB	High	S89
Q8_0Best for your GPU	8	34.2 GB	Very High	S89
F16	16	65.6 GB	Maximum	F0

Get started

Copy-paste commands to run Qwen 3 32B on your machine.

Run

ollama run qwen3:32b

Your hardware

More models your NVIDIA A40 48GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.6 35B A3B	35B	S	69 tok/s
Qwen 3.5 35B A3B	35B	S	75 tok/s

Frequently asked questions

Can NVIDIA A40 48GB run Qwen 3 32B?

Yes, NVIDIA A40 48GB can run Qwen 3 32B with a S grade (Runs well). Expected decode speed: 30.2 tok/s.

How much VRAM does Qwen 3 32B need?

Qwen 3 32B (32B parameters) requires approximately 29.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 32B?

The recommended quantization for Qwen 3 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 32B run at on NVIDIA A40 48GB?

On NVIDIA A40 48GB, Qwen 3 32B achieves approximately 30.2 tokens per second decode speed with a time-to-first-token of 6401ms using Q4_K_M quantization.

Can NVIDIA A40 48GB run Qwen 3 32B for coding?

For coding workloads, Qwen 3 32B on NVIDIA A40 48GB receives a S grade with 30.2 tok/s and 92K context.

What context window can Qwen 3 32B use on NVIDIA A40 48GB?

On NVIDIA A40 48GB, Qwen 3 32B can safely use up to 92K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for NVIDIA A40 48GB See all hardware for Qwen 3 32B

Embed this result▼

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<iframe src="https://willitrunai.com/embed/qwen-3-32b-on-a40-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

30.2 tok/s

3491 ms

92K

Coding

Runs well

30.2 tok/s

6401 ms

92K

Agentic Coding

Runs well

30.2 tok/s

9311 ms

92K

Reasoning

Runs well

30.2 tok/s

7565 ms

92K

RAG

Runs well

30.2 tok/s

11638 ms

92K

Quantization options

How Qwen 3 32B (32B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	A85
Q3_K_S	3	15.7 GB	Low	S86
NVFP4	4	17.9 GB	Medium	S86
Q4_K_M	4	19.5 GB	Medium	S87
Q5_K_M	5	23.0 GB	High	S88
Q6_K	6	26.2 GB	High	S89
Q8_0Best for your GPU	8	34.2 GB	Very High	S89
F16	16	65.6 GB	Maximum	F0

Model

Params

Grade

Decode

Capabilities

Qwen 3.6 35B A3B

35B

69 tok/s

Qwen 3.5 35B A3B

35B

75 tok/s

Frequently asked questions

Can NVIDIA A40 48GB run Qwen 3 32B?

Yes, NVIDIA A40 48GB can run Qwen 3 32B with a S grade (Runs well). Expected decode speed: 30.2 tok/s.

How much VRAM does Qwen 3 32B need?

Qwen 3 32B (32B parameters) requires approximately 29.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 32B?

The recommended quantization for Qwen 3 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 32B run at on NVIDIA A40 48GB?

On NVIDIA A40 48GB, Qwen 3 32B achieves approximately 30.2 tokens per second decode speed with a time-to-first-token of 6401ms using Q4_K_M quantization.

Can NVIDIA A40 48GB run Qwen 3 32B for coding?

For coding workloads, Qwen 3 32B on NVIDIA A40 48GB receives a S grade with 30.2 tok/s and 92K context.

What context window can Qwen 3 32B use on NVIDIA A40 48GB?

On NVIDIA A40 48GB, Qwen 3 32B can safely use up to 92K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.