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URL: https://willitrunai.com/can-run/qwen-3-vl-30b-a3b-on-a100-80gb

⇱ Qwen3-VL 30B A3B Instruct on NVIDIA A100 80GB? YES

Can Qwen3-VL 30B A3B Instruct run on NVIDIA A100 80GB?

YES — Runs Great

S92Excellent
○Estimated from fit model

Qwen3-VL 30B A3B Instruct needs ~30.2 GB VRAM. NVIDIA A100 80GB has 80.0 GB. With Q4_K_M quantization, expect ~204 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) — 30.2 GB, 203.6 tok/s, Runs well
30.2 GB required80.0 GB available
38% VRAM used

Fit status

Runs well

Decode

203.6 tok/s

TTFT

951 ms

Safe context

256K

Memory

30.2 GB / 80.0 GB

Memory breakdown

Weights18.3 GB
KV Cache1.5 GB
Runtime2.4 GB
Headroom8.0 GB

See how fast it feels

See how fast it feelsQwen3-VL 30B A3B Instruct on NVIDIA A100 80GB
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: 203.6 tok/s decode · 951ms TTFT (warm) · 509 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 well203.6 tok/s519 ms256K
CodingSRuns well203.6 tok/s951 ms256K
Agentic CodingSRuns well203.6 tok/s1383 ms256K
ReasoningSRuns well203.6 tok/s1124 ms256K
RAGSRuns well203.6 tok/s1729 ms256K

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on NVIDIA A100 80GB (80.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
LowA83
Q3_K_S
3
14.7 GB
LowA83
NVFP4
4
16.8 GB
MediumA83
Q4_K_M
4
18.3 GB
MediumA84
Q5_K_M
5
21.6 GB
HighA84
Q6_K
6
24.6 GB
HighA85
Q8_0
8
32.1 GB
Very HighS87
F16Best for your GPU
16
61.5 GB
MaximumS90

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 80GB can run

ModelParamsGradeDecodeCapabilities
👁 Alibaba
Qwen3-Coder 30B A3B Instruct		30.5BS196.8 tok/s
👁 Alibaba
Qwen 3.6 35B A3B		35BS165.4 tok/s

Frequently asked questions

See all results for NVIDIA A100 80GBSee all hardware for Qwen3-VL 30B A3B Instruct