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URL: https://willitrunai.com/can-run/qwen-3-30b-a3b-on-a100-40gb

⇱ Qwen 3 30B A3B on NVIDIA A100 40GB? YES

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
Share:

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

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well197.5 tok/s535 ms131K
CodingSRuns well197.5 tok/s980 ms131K
Agentic CodingSRuns well197.5 tok/s1426 ms131K
ReasoningSRuns well197.5 tok/s1158 ms131K
RAGSRuns well197.5 tok/s1782 ms131K

Quantization options

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

QuantBitsVRAMQualityFit
Q2_K
2
11.9 GB
LowS86
Q3_K_S
3
14.9 GB
LowS87
NVFP4
4
17.1 GB
MediumS88
Q4_K_M
4
18.6 GB
MediumS88
Q5_K_M
5
22.0 GB
HighS89
Q6_K
6
25.0 GB
HighS89
Q8_0Best for your GPU
8
32.6 GB
Very HighS88
F16
16
62.5 GB
MaximumF0

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

ModelParamsGradeDecodeCapabilities
👁 Alibaba
Qwen 3.6 35B A3B		35BS166 tok/s
👁 Alibaba
Qwen 3.5 35B A3B		35BS180.5 tok/s
👁 Alibaba
Qwen 3 32B		32BS72.8 tok/s

Frequently asked questions

See all results for NVIDIA A100 40GBSee all hardware for Qwen 3 30B A3B