Would CUDA be a better path than Intel Data Center GPU Max 1550 128GB for Qwen AgentWorld 35B A3B?

Often yes, if your goal is the easiest setup and the widest runtime support. Intel can offer attractive memory capacity, but CUDA still tends to win on tooling maturity, guides, kernels, and model coverage for local AI.

Can Qwen AgentWorld 35B A3B run on Intel Data Center GPU Max 1550 128GB?

Q: What should I upgrade first if Qwen AgentWorld 35B A3B feels slow on Intel Data Center GPU Max 1550 128GB?

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.

YES — Runs Great

A80Great

Estimated from fit model

Qwen AgentWorld 35B A3B needs ~36.1 GB VRAM. Intel Data Center GPU Max 1550 128GB has 128.0 GB. With Q4_K_M quantization, expect ~258 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: 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) — 35.2 GB, 280.6 tok/s, Runs well

35.2 GB required128.0 GB available

28% VRAM used

Fit status

Runs well

Decode

280.6 tok/s

TTFT

690 ms

Safe context

262K

Memory

35.2 GB / 128.0 GB

Memory breakdown

Weights21.2 GB

KV Cache0.3 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen AgentWorld 35B 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: 280.6 tok/s decode · 690ms TTFT (warm) · 701 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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	258.0 tok/s	409 ms	262K
Coding	A	Runs well	258.0 tok/s	750 ms	262K
Agentic Coding	A	Runs well	258.0 tok/s	1091 ms	262K
Reasoning	A	Runs well	258.0 tok/s	887 ms	262K
RAG	A	Runs well	258.0 tok/s	1364 ms	262K

Inference speed

Qwen AgentWorld 35B A3B inference speed — tokens per second by GPU & Mac

Estimated decode speed (tokens/sec) for Qwen AgentWorld 35B A3B at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~140 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.

GPU / Mac	Memory	Quant	Speed (tok/s)	Fits?
RTX 5090 32GB	32 GB	Q4_K_M	140.4	Fits
RTX 4090 24GB	24 GB	Q4_K_M	80.0	Offloads

Quantization options

How Qwen AgentWorld 35B A3B (34.70000076293945B params) fits at each quantization level on Intel Data Center GPU Max 1550 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q1_0_G128	1.125	5.0 GB	Very Low	A71
Q2_0_G128	1.71	9.3 GB	Low	A71
Q2_K	2

Get started

Copy-paste commands to run Qwen AgentWorld 35B A3B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
  --hf-repo "Qwen/Qwen-AgentWorld-35B-A3B" \
  --hf-file "Qwen-AgentWorld-35B-A3B-Q4_K_M.gguf" \
  -c 4096 -ngl 99

Your hardware

More models your Intel Data Center GPU Max 1550 128GB can run

Model	Params	Grade	Decode	Capabilities
Devstral 2 123B Instruct	123B	S	29.2 tok/s
Qwen 3.5 122B A10B	122B	S

Frequently asked questions

Can Intel Data Center GPU Max 1550 128GB run Qwen AgentWorld 35B A3B?

Yes, Intel Data Center GPU Max 1550 128GB can run Qwen AgentWorld 35B A3B with a A grade (Runs well). Expected decode speed: 258.0 tok/s.

How much VRAM does Qwen AgentWorld 35B A3B need?

Qwen AgentWorld 35B A3B (34.70000076293945B parameters) requires approximately 36.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen AgentWorld 35B A3B?

The recommended quantization for Qwen AgentWorld 35B A3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen AgentWorld 35B A3B run at on Intel Data Center GPU Max 1550 128GB?

On Intel Data Center GPU Max 1550 128GB, Qwen AgentWorld 35B A3B achieves approximately 258.0 tokens per second decode speed with a time-to-first-token of 750ms using Q4_K_M quantization.

Can Intel Data Center GPU Max 1550 128GB run Qwen AgentWorld 35B A3B for coding?

For coding workloads, Qwen AgentWorld 35B A3B on Intel Data Center GPU Max 1550 128GB receives a A grade with 258.0 tok/s and 262K context.

What context window can Qwen AgentWorld 35B A3B use on Intel Data Center GPU Max 1550 128GB?

On Intel Data Center GPU Max 1550 128GB, Qwen AgentWorld 35B A3B can safely use up to 262K tokens of context. The model's official context limit is 262K, but available memory constrains the safe maximum.

See all results for Intel Data Center GPU Max 1550 128GB See all hardware for Qwen AgentWorld 35B A3B

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