Can Qwen3-VL 30B A3B Instruct run on AMD Instinct MI210 64GB?

YES — Runs Great

S94Excellent

Estimated from fit model

Qwen3-VL 30B A3B Instruct needs ~28.6 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~132 tok/s.

Runtime: vLLMCapacity: RoomyBandwidth: HighStack: OptimizedBottleneck: 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) — 28.6 GB, 132.4 tok/s, Runs well

28.6 GB required64.0 GB available

45% VRAM used

Fit status

Runs well

Decode

132.4 tok/s

TTFT

1462 ms

Safe context

256K

Memory

28.6 GB / 64.0 GB

Memory breakdown

Weights18.3 GB

KV Cache1.5 GB

Runtime2.4 GB

Headroom6.4 GB

See how fast it feels

See how fast it feelsQwen3-VL 30B A3B Instruct on AMD Instinct MI210 64GB
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: 132.4 tok/s decode · 1.5s TTFT (warm) · 331 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	132.4 tok/s	798 ms	256K
Coding	S	Runs well	132.4 tok/s	1462 ms	256K
Agentic Coding	S	Runs well	132.4 tok/s	2127 ms	256K
Reasoning	S	Runs well	132.4 tok/s	1728 ms	256K
RAG	S	Runs well	132.4 tok/s	2659 ms	256K

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.7 GB	Low	A84
Q3_K_S	3	14.7 GB	Low	A85
NVFP4	4	16.8 GB	Medium	A85
Q4_K_M	4	18.3 GB	Medium	S85
Q5_K_M	5	21.6 GB	High	S86
Q6_K	6	24.6 GB	High	S87
Q8_0Best for your GPU	8	32.1 GB	Very High	S89
F16	16	61.5 GB	Maximum	F0

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 AMD Instinct MI210 64GB can run

Model	Params	Grade	Decode	Capabilities
Qwen3-Coder 30B A3B Instruct	30.5B	S	128 tok/s
Qwen 3.6 35B A3B	35B	S	107.6 tok/s

Frequently asked questions

Can AMD Instinct MI210 64GB run Qwen3-VL 30B A3B Instruct?

Yes, AMD Instinct MI210 64GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 132.4 tok/s.

How much VRAM does Qwen3-VL 30B A3B Instruct need?

Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 28.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3-VL 30B A3B Instruct?

The recommended quantization for Qwen3-VL 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen3-VL 30B A3B Instruct run at on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, Qwen3-VL 30B A3B Instruct achieves approximately 132.4 tokens per second decode speed with a time-to-first-token of 1462ms using Q4_K_M quantization.

Can AMD Instinct MI210 64GB run Qwen3-VL 30B A3B Instruct for coding?

For coding workloads, Qwen3-VL 30B A3B Instruct on AMD Instinct MI210 64GB receives a S grade with 132.4 tok/s and 256K context.

What context window can Qwen3-VL 30B A3B Instruct use on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, Qwen3-VL 30B A3B Instruct can safely use up to 256K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI210 64GB See all hardware for Qwen3-VL 30B A3B Instruct

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<iframe src="https://willitrunai.com/embed/qwen-3-vl-30b-a3b-on-instinct-mi210-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

132.4 tok/s

798 ms

256K

Coding

Runs well

132.4 tok/s

1462 ms

256K

Agentic Coding

Runs well

132.4 tok/s

2127 ms

256K

Reasoning

Runs well

132.4 tok/s

1728 ms

256K

RAG

Runs well

132.4 tok/s

2659 ms

256K

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.7 GB	Low	A84
Q3_K_S	3	14.7 GB	Low	A85
NVFP4	4	16.8 GB	Medium	A85
Q4_K_M	4	18.3 GB	Medium	S85
Q5_K_M	5	21.6 GB	High	S86
Q6_K	6	24.6 GB	High	S87
Q8_0Best for your GPU	8	32.1 GB	Very High	S89
F16	16	61.5 GB	Maximum	F0

Model

Params

Grade

Decode

Capabilities

Qwen3-Coder 30B A3B Instruct

30.5B

128 tok/s

Qwen 3.6 35B A3B

35B

107.6 tok/s