Can Qwen 3 30B A3B run on NVIDIA A100 40GB?

YES — Runs Great

S96Excellent

Estimated from fit model

Qwen 3 30B A3B needs ~25.3 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~198 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: 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) — 25.3 GB, 197.5 tok/s, Runs well

25.3 GB required40.0 GB available

63% VRAM used

Fit status

Runs well

Decode

197.5 tok/s

TTFT

980 ms

Safe context

131K

Memory

25.3 GB / 40.0 GB

Memory breakdown

Weights18.6 GB

KV Cache1.5 GB

Runtime1.2 GB

Headroom4.0 GB

See how fast it feels

See how fast it feelsQwen 3 30B A3B on NVIDIA A100 40GB
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: 197.5 tok/s decode · 980ms TTFT (warm) · 494 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	197.5 tok/s	535 ms	131K
Coding	S	Runs well	197.5 tok/s	980 ms	131K
Agentic Coding	S	Runs well	197.5 tok/s	1426 ms	131K
Reasoning	S	Runs well	197.5 tok/s	1158 ms	131K
RAG	S	Runs well	197.5 tok/s	1782 ms	131K

Quantization options

How Qwen 3 30B A3B (30.5B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.9 GB	Low	S86
Q3_K_S	3	14.9 GB	Low	S87
NVFP4	4	17.1 GB	Medium	S88
Q4_K_M	4	18.6 GB	Medium	S88
Q5_K_M	5	22.0 GB	High	S89
Q6_K	6	25.0 GB	High	S89
Q8_0Best for your GPU	8	32.6 GB	Very High	S88
F16	16	62.5 GB	Maximum	F0

Get started

Copy-paste commands to run Qwen 3 30B A3B on your machine.

Run

ollama run qwen3:30b-a3b

Your hardware

More models your NVIDIA A100 40GB can run

Model	Params	Grade	Decode
Qwen 3.6 35B A3B	35B	S	166 tok/s
Qwen 3.5 35B A3B	35B	S	180.5 tok/s
Qwen 3 32B	32B	S	72.8 tok/s

Frequently asked questions

Can NVIDIA A100 40GB run Qwen 3 30B A3B?

Yes, NVIDIA A100 40GB can run Qwen 3 30B A3B with a S grade (Runs well). Expected decode speed: 197.5 tok/s.

How much VRAM does Qwen 3 30B A3B need?

Qwen 3 30B A3B (30.5B parameters) requires approximately 25.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 30B A3B?

The recommended quantization for Qwen 3 30B A3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 30B A3B run at on NVIDIA A100 40GB?

On NVIDIA A100 40GB, Qwen 3 30B A3B achieves approximately 197.5 tokens per second decode speed with a time-to-first-token of 980ms using Q4_K_M quantization.

Can NVIDIA A100 40GB run Qwen 3 30B A3B for coding?

For coding workloads, Qwen 3 30B A3B on NVIDIA A100 40GB receives a S grade with 197.5 tok/s and 131K context.

What context window can Qwen 3 30B A3B use on NVIDIA A100 40GB?

On NVIDIA A100 40GB, Qwen 3 30B A3B 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 NVIDIA A100 40GB See all hardware for Qwen 3 30B A3B

Embed this result▼

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<iframe src="https://willitrunai.com/embed/qwen-3-30b-a3b-on-a100-40gb" 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

197.5 tok/s

535 ms

131K

Coding

Runs well

197.5 tok/s

980 ms

131K

Agentic Coding

Runs well

197.5 tok/s

1426 ms

131K

Reasoning

Runs well

197.5 tok/s

1158 ms

131K

RAG

Runs well

197.5 tok/s

1782 ms

131K

Quantization options

How Qwen 3 30B A3B (30.5B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.9 GB	Low	S86
Q3_K_S	3	14.9 GB	Low	S87
NVFP4	4	17.1 GB	Medium	S88
Q4_K_M	4	18.6 GB	Medium	S88
Q5_K_M	5	22.0 GB	High	S89
Q6_K	6	25.0 GB	High	S89
Q8_0Best for your GPU	8	32.6 GB	Very High	S88
F16	16	62.5 GB	Maximum	F0

Model

Params

Grade

Decode

Capabilities

Qwen 3.6 35B A3B

35B

166 tok/s

Qwen 3.5 35B A3B

35B

180.5 tok/s

Qwen 3 32B

32B

72.8 tok/s

Frequently asked questions

Can NVIDIA A100 40GB run Qwen 3 30B A3B?

Yes, NVIDIA A100 40GB can run Qwen 3 30B A3B with a S grade (Runs well). Expected decode speed: 197.5 tok/s.

How much VRAM does Qwen 3 30B A3B need?

Qwen 3 30B A3B (30.5B parameters) requires approximately 25.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 30B A3B?

The recommended quantization for Qwen 3 30B A3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 30B A3B run at on NVIDIA A100 40GB?

On NVIDIA A100 40GB, Qwen 3 30B A3B achieves approximately 197.5 tokens per second decode speed with a time-to-first-token of 980ms using Q4_K_M quantization.

Can NVIDIA A100 40GB run Qwen 3 30B A3B for coding?

For coding workloads, Qwen 3 30B A3B on NVIDIA A100 40GB receives a S grade with 197.5 tok/s and 131K context.

What context window can Qwen 3 30B A3B use on NVIDIA A100 40GB?

On NVIDIA A100 40GB, Qwen 3 30B A3B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.