Can Qwen 3 235B A22B run on AMD Instinct MI300X 192GB?

YES — Tight Fit

S92Excellent
Estimated from fit model

Qwen 3 235B A22B needs ~166.3 GB VRAM. AMD Instinct MI300X 192GB has 192.0 GB. With Q4_K_M quantization, expect ~84 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: HighStack: StandardBottleneck: Balanced
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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) 166.3 GB, 84.1 tok/s, Tight fit
166.3 GB required192.0 GB available
87% VRAM used

Fit status

Tight fit

Decode

84.1 tok/s

TTFT

2301 ms

Safe context

131K

Memory

166.3 GB / 192.0 GB

Memory breakdown

Weights143.4 GB
KV Cache2.9 GB
Runtime0.9 GB
Headroom19.2 GB

See how fast it feels

See how fast it feelsQwen 3 235B A22B on AMD Instinct MI300X 192GB
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: 84.1 tok/s decode · 2.3s TTFT (warm) · 210 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

WorkloadGradeFitDecodeTTFTContext
ChatSTight fit84.1 tok/s1255 ms131K
CodingSTight fit84.1 tok/s2301 ms131K
Agentic CodingSTight fit84.1 tok/s3347 ms131K
ReasoningSTight fit84.1 tok/s2719 ms131K
RAGSTight fit84.1 tok/s4184 ms131K

Quantization options

How Qwen 3 235B A22B (235B params) fits at each quantization level on AMD Instinct MI300X 192GB (192.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
91.7 GB
LowS85
Q3_K_S
3
115.2 GB
LowS86
NVFP4
4
131.6 GB
MediumS86
Q4_K_MBest for your GPU
4
143.4 GB
MediumS86
Q5_K_M
5
169.2 GB
HighF0
Q6_K
6
192.7 GB
HighF0
Q8_0
8
251.5 GB
Very HighF0
F16
16
481.7 GB
MaximumF0

Get started

Copy-paste commands to run Qwen 3 235B A22B on your machine.

Run

lms load Qwen3-235B-A22B-Instruct-2507 && lms server start

Your hardware

More models your AMD Instinct MI300X 192GB can run

ModelParamsGradeDecodeCapabilities
DeepSeekDeepSeek V4 Flash284BS89.1 tok/s

Frequently asked questions

Can AMD Instinct MI300X 192GB run Qwen 3 235B A22B?

Yes, AMD Instinct MI300X 192GB can run Qwen 3 235B A22B with a S grade (Tight fit). Expected decode speed: 84.1 tok/s.

How much VRAM does Qwen 3 235B A22B need?

Qwen 3 235B A22B (235B parameters) requires approximately 166.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 235B A22B?

The recommended quantization for Qwen 3 235B A22B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 235B A22B run at on AMD Instinct MI300X 192GB?

On AMD Instinct MI300X 192GB, Qwen 3 235B A22B achieves approximately 84.1 tokens per second decode speed with a time-to-first-token of 2301ms using Q4_K_M quantization.

Can AMD Instinct MI300X 192GB run Qwen 3 235B A22B for coding?

For coding workloads, Qwen 3 235B A22B on AMD Instinct MI300X 192GB receives a S grade with 84.1 tok/s and 131K context.

What context window can Qwen 3 235B A22B use on AMD Instinct MI300X 192GB?

On AMD Instinct MI300X 192GB, Qwen 3 235B A22B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI300X 192GBSee all hardware for Qwen 3 235B A22B
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<iframe src="https://willitrunai.com/embed/qwen-3-235b-a22b-on-instinct-mi300x-192gb" 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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