Can Qwen 3 30B A3B run on NVIDIA V100 32GB?

YES — Runs Great

S97Excellent

Estimated from fit model

Qwen 3 30B A3B needs ~24.5 GB VRAM. NVIDIA V100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~91 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: 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) — 24.5 GB, 91.2 tok/s, Runs well

24.5 GB required32.0 GB available

77% VRAM used

Fit status

Runs well

Decode

91.2 tok/s

TTFT

2123 ms

Safe context

98K

Memory

24.5 GB / 32.0 GB

Memory breakdown

Weights18.6 GB

KV Cache1.5 GB

Runtime1.2 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsQwen 3 30B A3B on NVIDIA V100 32GB
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: 91.2 tok/s decode · 2.1s TTFT (warm) · 228 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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	91.2 tok/s	1158 ms	98K
Coding	S	Runs well	91.2 tok/s	2123 ms	98K
Agentic Coding	S	Runs well	91.2 tok/s	3088 ms	98K
Reasoning	S	Runs well	91.2 tok/s	2509 ms	98K
RAG	S	Runs well	91.2 tok/s	3860 ms	98K

Quantization options

How Qwen 3 30B A3B (30.5B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.9 GB	Low	S88
Q3_K_S	3	14.9 GB	Low	S89
NVFP4	4	17.1 GB	Medium	S90
Q4_K_M	4	18.6 GB	Medium	S90
Q5_K_M	5	22.0 GB	High	S89
Q6_KBest for your GPU	6	25.0 GB	High	S89
Q8_0	8	32.6 GB	Very High	F0
F16	16	62.5 GB	Maximum	F0

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 V100 32GB can run

Model	Params	Grade	Decode
Qwen 3.6 35B A3B	35B	S	76.6 tok/s
Qwen 3.5 35B A3B	35B	S	83.3 tok/s
Qwen 3 32B	32B	S	33.6 tok/s

Frequently asked questions

Can NVIDIA V100 32GB run Qwen 3 30B A3B?

Yes, NVIDIA V100 32GB can run Qwen 3 30B A3B with a S grade (Runs well). Expected decode speed: 91.2 tok/s.

How much VRAM does Qwen 3 30B A3B need?

Qwen 3 30B A3B (30.5B parameters) requires approximately 24.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 30B A3B?

The recommended quantization for Qwen 3 30B A3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 30B A3B run at on NVIDIA V100 32GB?

On NVIDIA V100 32GB, Qwen 3 30B A3B achieves approximately 91.2 tokens per second decode speed with a time-to-first-token of 2123ms using Q4_K_M quantization.

Can NVIDIA V100 32GB run Qwen 3 30B A3B for coding?

For coding workloads, Qwen 3 30B A3B on NVIDIA V100 32GB receives a S grade with 91.2 tok/s and 98K context.

What context window can Qwen 3 30B A3B use on NVIDIA V100 32GB?

On NVIDIA V100 32GB, Qwen 3 30B A3B can safely use up to 98K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for NVIDIA V100 32GB See all hardware for Qwen 3 30B A3B

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