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⇱ Qwen 3 30B A3B on Intel Data Center GPU Max 1550 128GB? YES


Can Qwen 3 30B A3B run on Intel Data Center GPU Max 1550 128GB?

YES — Runs Great

S88Excellent
Estimated from fit model

Qwen 3 30B A3B needs ~33.8 GB VRAM. Intel Data Center GPU Max 1550 128GB has 128.0 GB. With Q4_K_M quantization, expect ~305 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
Share:

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) — 33.8 GB, 304.8 tok/s, Runs well
33.8 GB required128.0 GB available
26% VRAM used

Fit status

Runs well

Decode

304.8 tok/s

TTFT

635 ms

Safe context

131K

Memory

33.8 GB / 128.0 GB

Memory breakdown

Weights18.6 GB
KV Cache1.5 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen 3 30B A3B on Intel Data Center GPU Max 1550 128GB
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: 304.8 tok/s decode · 635ms TTFT (warm) · 762 tok/s prefill

What limits this setup

The raw memory story may look fine, but the software ecosystem is still a constraint here.

Runtime ecosystem is narrower than CUDA

Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.

Best improvement path

Prefer CUDA if you want the path of least resistance

If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well304.8 tok/s350 ms131K
CodingSRuns well304.8 tok/s635 ms131K
Agentic CodingSRuns well304.8 tok/s924 ms131K
ReasoningSRuns well304.8 tok/s751 ms131K
RAGSRuns well304.8 tok/s1155 ms131K

Quantization options

How Qwen 3 30B A3B (30.5B params) fits at each quantization level on Intel Data Center GPU Max 1550 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.9 GB
LowA79
Q3_K_S
3
14.9 GB
LowA79
NVFP4
4
17.1 GB
MediumA79
Q4_K_M
4
18.6 GB
MediumA80
Q5_K_M
5
22.0 GB
HighA80
Q6_K
6
25.0 GB
HighA80
Q8_0
8
32.6 GB
Very HighA81
F16Best for your GPU
16
62.5 GB
MaximumS86

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 Intel Data Center GPU Max 1550 128GB can run

ModelParamsGradeDecodeCapabilities
👁 Mistral
Devstral 2 123B Instruct
123BS29.2 tok/s
👁 Alibaba
Qwen 3.5 122B A10B
122BS81 tok/s
👁 Alibaba
Qwen 3.6 35B A3B
35BS256.2 tok/s
👁 Alibaba
Qwen 3.5 35B A3B
35BS278.6 tok/s
👁 Alibaba
Qwen 3 32B
32BS112.3 tok/s

Frequently asked questions

See all results for Intel Data Center GPU Max 1550 128GBSee all hardware for Qwen 3 30B A3B