Can Qwen 3 32B run on AMD Instinct MI100 32GB?

YES — Tight Fit

S92Excellent

Estimated from fit model

Qwen 3 32B needs ~27.5 GB VRAM. AMD Instinct MI100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~41 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: HighStack: StandardBottleneck: 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) — 27.5 GB, 44.5 tok/s, Tight fit

27.5 GB required32.0 GB available

86% VRAM used

Fit status

Tight fit

Decode

44.5 tok/s

TTFT

4354 ms

Safe context

34K

Memory

27.5 GB / 32.0 GB

Memory breakdown

Weights19.5 GB

KV Cache3.9 GB

Runtime0.9 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsQwen 3 32B on AMD Instinct MI100 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: 44.5 tok/s decode · 4.4s TTFT (warm) · 111 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	44.5 tok/s	2375 ms	34K
Coding	S	Tight fit	40.9 tok/s	4734 ms	34K
Agentic Coding	S	Runs with offload	44.5 tok/s	6332 ms	34K
Reasoning	S	Tight fit	44.5 tok/s	5145 ms	34K
RAG	S	Runs with offload	44.5 tok/s	7916 ms	34K

Quantization options

How Qwen 3 32B (32B params) fits at each quantization level on AMD Instinct MI100 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	S88
Q3_K_S	3	15.7 GB	Low	S90
NVFP4	4	17.9 GB	Medium	S90
Q4_K_M	4	19.5 GB	Medium	S90
Q5_K_MBest for your GPU	5	23.0 GB	High	S90
Q6_K	6	26.2 GB	High	F0
Q8_0	8	34.2 GB	Very High	F0
F16	16	65.6 GB	Maximum	F0

Get started

Copy-paste commands to run Qwen 3 32B on your machine.

Run

ollama run qwen3:32b

Your hardware

More models your AMD Instinct MI100 32GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.6 35B A3B	35B	S	101.4 tok/s
Qwen 3.5 35B A3B	35B	S	110.3 tok/s

Frequently asked questions

Can AMD Instinct MI100 32GB run Qwen 3 32B?

Yes, AMD Instinct MI100 32GB can run Qwen 3 32B with a S grade (Tight fit). Expected decode speed: 40.9 tok/s.

How much VRAM does Qwen 3 32B need?

Qwen 3 32B (32B parameters) requires approximately 27.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 32B?

The recommended quantization for Qwen 3 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 32B run at on AMD Instinct MI100 32GB?

On AMD Instinct MI100 32GB, Qwen 3 32B achieves approximately 40.9 tokens per second decode speed with a time-to-first-token of 4734ms using Q4_K_M quantization.

Can AMD Instinct MI100 32GB run Qwen 3 32B for coding?

For coding workloads, Qwen 3 32B on AMD Instinct MI100 32GB receives a S grade with 40.9 tok/s and 34K context.

What context window can Qwen 3 32B use on AMD Instinct MI100 32GB?

On AMD Instinct MI100 32GB, Qwen 3 32B can safely use up to 34K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI100 32GB See all hardware for Qwen 3 32B

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<iframe src="https://willitrunai.com/embed/qwen-3-32b-on-instinct-mi100-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

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