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URL: https://willitrunai.com/can-run/qwen-3-30b-a3b-on-rtx-3080-ti-12gb

⇱ Qwen 3 30B A3B on RTX 3080 Ti 12GB? No — Alternatives

Can Qwen 3 30B A3B run on RTX 3080 Ti 12GB?

NO — Won't Fit

F0Won't run
○Estimated from fit model

Qwen 3 30B A3B needs ~22.5 GB but RTX 3080 Ti 12GB only has 12.0 GB. Try a smaller quantization or lighter model.

Runtime: OllamaCapacity: No fitBandwidth: HighStack: BasicBottleneck: Memory capacity
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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) — 22.5 GB, exceeds 12.0 GB available
22.5 GB required12.0 GB available
188% VRAM needed

10.5 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

20.4 tok/s

TTFT

9473 ms

Safe context

4K

Memory

22.5 GB / 12.0 GB

Offload

50%

Memory breakdown

Weights18.6 GB
KV Cache1.5 GB
Runtime1.2 GB
Headroom1.2 GB

See how fast it feels

With memory offload — actual speed may be lower
See how fast it feelsQwen 3 30B A3B on RTX 3080 Ti 12GB
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: 20.4 tok/s decode · 9.5s TTFT (warm) · 51 tok/s prefill

What limits this setup

Usable VRAM is the main blocker for this model.

Not enough usable memory

The model needs 22.5 GB, but this setup only exposes 12.0 GB of usable VRAM.

Best improvement path

Add more VRAM headroom

The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatFToo heavy21.9 tok/s4819 ms4K
CodingFToo heavy20.4 tok/s9473 ms4K
Agentic CodingFToo heavy17.9 tok/s15738 ms4K
ReasoningFToo heavy20.4 tok/s11195 ms4K
RAGFToo heavy17.9 tok/s19672 ms4K

Quantization options

How Qwen 3 30B A3B (30.5B params) fits at each quantization level on RTX 3080 Ti 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.9 GB
LowF0
Q3_K_S
3
14.9 GB
LowF0
NVFP4
4
17.1 GB
MediumF0
Q4_K_M
4
18.6 GB
MediumF0
Q5_K_M
5
22.0 GB
HighF0
Q6_K
6
25.0 GB
HighF0
Q8_0
8
32.6 GB
Very HighF0
F16
16
62.5 GB
MaximumF0

Upgrade options

Hardware that runs Qwen 3 30B A3B well

👁 NVIDIA
RTX 4000 Ada 20GBBest value
20 GB VRAM (+8)
A
Makes the model fit on the accelerator instead of staying completely out of reach.23.2 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Adds memory headroom for longer context windows and future model growth.

~$1,250 MSRP

👁 NVIDIA
RTX 3090 24GBBudget pick
24 GB VRAM (+12)936 GB/s (+24)
S
Makes the model fit on the accelerator instead of staying completely out of reach.99.1 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$1,499 MSRP

👁 NVIDIA
RTX 4090 24GBNVIDIA upgrade
24 GB VRAM (+12)1008 GB/s (+96)
S
Makes the model fit on the accelerator instead of staying completely out of reach.115.8 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$1,599 MSRP

Frequently asked questions

See all results for RTX 3080 Ti 12GBSee all hardware for Qwen 3 30B A3B