Can Qwen 3 8B run on RTX 2080 Ti 11GB?

YES — Tight Fit

S93Excellent

○Estimated from fit model

Qwen 3 8B needs ~9.4 GB VRAM. RTX 2080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~82 tok/s.

Runtime: OllamaCapacity: TightBandwidth: MediumStack: 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) — 9.4 GB, 88.2 tok/s, Tight fit

9.4 GB required11.0 GB available

85% VRAM used

Fit status

Tight fit

Decode

88.2 tok/s

TTFT

2195 ms

Safe context

28K

Memory

9.4 GB / 11.0 GB

Memory breakdown

Weights4.9 GB

KV Cache2.2 GB

Runtime1.2 GB

Headroom1.1 GB

See how fast it feels

See how fast it feelsQwen 3 8B on RTX 2080 Ti 11GB
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: 88.2 tok/s decode · 2.2s TTFT (warm) · 221 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	88.2 tok/s	1197 ms	28K
Coding	S	Tight fit	82.0 tok/s	2360 ms	28K
Agentic Coding	S	Runs with offload (needs ~0.2 GB host RAM)	57.5 tok/s	4895 ms	28K
Reasoning	S	Tight fit	88.2 tok/s	2594 ms	28K
RAG	S	Runs with offload (needs ~0.2 GB host RAM)	57.5 tok/s	6118 ms

Quantization options

How Qwen 3 8B (8B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	S90
Q3_K_S	3	3.9 GB	Low	S91
NVFP4	4

Get started

Copy-paste commands to run Qwen 3 8B on your machine.

Run

ollama run qwen3:8b

Your hardware

More models your RTX 2080 Ti 11GB can run

Model	Params	Grade	Decode	Capabilities
👁 Alibaba Qwen 3.5 9B	9B	S	78.4 tok/s

Frequently asked questions

See all results for RTX 2080 Ti 11GB See all hardware for Qwen 3 8B

URL: https://willitrunai.com/can-run/qwen-3-8b-on-rtx-2080-ti-11gb

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