Can Qwen 3.5 27B run on Intel Data Center GPU Max 1550 128GB?

YES — Runs Great

S90Excellent

○Estimated from fit model

Qwen 3.5 27B needs ~33.3 GB VRAM. Intel Data Center GPU Max 1550 128GB has 128.0 GB. With Q4_K_M quantization, expect ~132 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) — 33.3 GB, 132.2 tok/s, Runs well

33.3 GB required128.0 GB available

26% VRAM used

Fit status

Runs well

Decode

132.2 tok/s

TTFT

1464 ms

Safe context

131K

Memory

33.3 GB / 128.0 GB

Memory breakdown

Weights16.5 GB

KV Cache3.2 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen 3.5 27B on Intel Data Center GPU Max 1550 128GB
1st promptCold start — includes initialization
>Write a Python function to sort a list
Here's a Python function that sorts a list using quicksort:

def quicksort(arr):
 if len(arr) <= 1:
 return arr
 pivot = arr[len(arr) // 2]
 left = [x for x in arr if x < pivot]
 middle = [x for x in arr if x == pivot]
 right = [x for x in arr if x > pivot]
 return quicksort(left) + middle + quicksort(right)

# Example usage
numbers = [3, 6, 8, 10, 1, 2, 1]
print(quicksort(numbers)) # [1, 1, 2, 3, 6, 8, 10]

The algorithm picks a pivot, partitions the list into smaller, equal, and larger elements, then recursively sorts each partition and concatenates the results.
2nd promptWarm — model ready, no init overhead
>Now add type hints and a docstring
def quicksort(arr: list[int]) -> list[int]:
 """Sort a list using the quicksort algorithm.

 Args:
 arr: List of integers to sort.

 Returns:
 A new sorted list.
 """
 if len(arr) <= 1:
 return arr
 pivot = arr[len(arr) // 2]
 left = [x for x in arr if x < pivot]
 middle = [x for x in arr if x == pivot]
 right = [x for x in arr if x > pivot]
 return quicksort(left) + middle + quicksort(right)

Added type hints for the input and return type, plus a Google-style docstring.
Estimated: 132.2 tok/s decode · 1.5s TTFT (warm) · 331 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	S	Runs well	132.2 tok/s	799 ms	131K
Coding	S	Runs well	132.2 tok/s	1464 ms	131K
Agentic Coding	S	Runs well	132.2 tok/s	2130 ms	131K
Reasoning	S	Runs well	132.2 tok/s	1731 ms	131K
RAG	S	Runs well	132.2 tok/s	2663 ms	131K

Quantization options

How Qwen 3.5 27B (27B params) fits at each quantization level on Intel Data Center GPU Max 1550 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	10.5 GB	Low	A81
Q3_K_S	3	13.2 GB	Low	A81
NVFP4	4	15.1 GB	Medium	A81
Q4_K_M	4	16.5 GB	Medium	A81
Q5_K_M	5	19.4 GB	High	A82
Q6_K	6	22.1 GB	High	A82
Q8_0	8	28.9 GB	Very High	A83
F16Best for your GPU	16	55.4 GB	Maximum	S87

Get started

Copy-paste commands to run Qwen 3.5 27B on your machine.

Run

ollama run qwen3.5:27b

Your hardware

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

Model	Params	Grade	Decode	Capabilities
👁 Mistral Devstral 2 123B Instruct	123B	S	29.2 tok/s
👁 Alibaba Qwen3-Coder 30B A3B Instruct	30.5B	S	304.8 tok/s

Frequently asked questions

See all results for Intel Data Center GPU Max 1550 128GB See all hardware for Qwen 3.5 27B

URL: https://willitrunai.com/can-run/qwen-3.5-27b-on-max-1550-128gb

⇱ Qwen 3.5 27B on Intel Data Center GPU Max 1550 128GB? YES