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

⇱ Qwen3-VL 30B A3B Instruct on NVIDIA A100 40GB? YES

Can Qwen3-VL 30B A3B Instruct run on NVIDIA A100 40GB?

YES — Runs Great

S98Excellent
○Estimated from fit model

Qwen3-VL 30B A3B Instruct needs ~26.2 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~155 tok/s.

Runtime: vLLMCapacity: RoomyBandwidth: HighStack: OptimizedBottleneck: 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) — 26.2 GB, 155.2 tok/s, Runs well
26.2 GB required40.0 GB available
66% VRAM used

Fit status

Runs well

Decode

155.2 tok/s

TTFT

1247 ms

Safe context

167K

Memory

26.2 GB / 40.0 GB

Memory breakdown

Weights18.3 GB
KV Cache1.5 GB
Runtime2.4 GB
Headroom4.0 GB

See how fast it feels

See how fast it feelsQwen3-VL 30B A3B Instruct 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: 155.2 tok/s decode · 1.2s TTFT (warm) · 388 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 well155.2 tok/s680 ms167K
CodingSRuns well155.2 tok/s1247 ms167K
Agentic CodingSRuns well155.2 tok/s1814 ms167K
ReasoningSRuns well155.2 tok/s1474 ms167K
RAGSRuns well155.2 tok/s2267 ms167K

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
LowS87
Q3_K_S
3
14.7 GB
LowS88
NVFP4
4
16.8 GB
MediumS89
Q4_K_M
4
18.3 GB
MediumS90
Q5_K_M
5
21.6 GB
HighS91
Q6_K
6
24.6 GB
HighS91
Q8_0Best for your GPU
8
32.1 GB
Very HighS90
F16
16
61.5 GB
MaximumF0

Get started

Copy-paste commands to run Qwen3-VL 30B A3B Instruct on your machine.

Run

lms load Qwen3-VL-30B-A3B-Instruct && lms server start

Your hardware

More models your NVIDIA A100 40GB can run

ModelParamsGradeDecodeCapabilities
👁 Alibaba
Qwen3-Coder 30B A3B Instruct		30.5BS150.1 tok/s
👁 Alibaba
Qwen 3.6 35B A3B		35BS126.2 tok/s

Frequently asked questions

See all results for NVIDIA A100 40GBSee all hardware for Qwen3-VL 30B A3B Instruct