Will It Run AI

Can Kimi Linear 48B A3B run on Intel Data Center GPU Max 1550 128GB?

YES — Runs Great

A81Great
Estimated from fit model

Kimi Linear 48B A3B needs ~44.8 GB VRAM. Intel Data Center GPU Max 1550 128GB has 128.0 GB. With Q4_K_M quantization, expect ~69 tok/s.

Runtime: TransformersCapacity: RoomyBandwidth: 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) — 44.8 GB, 68.9 tok/s, Runs well
44.8 GB required128.0 GB available
35% VRAM used

Fit status

Runs well

Decode

68.9 tok/s

TTFT

2812 ms

Safe context

1.0M

Memory

44.8 GB / 128.0 GB

Memory breakdown

Weights29.3 GB
KV Cache0.9 GB
Runtime1.8 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsKimi Linear 48B A3B 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: 68.9 tok/s decode · 2.8s TTFT (warm) · 172 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
ChatARuns well68.9 tok/s1534 ms1.0M
CodingARuns well68.9 tok/s2812 ms1.0M
Agentic CodingARuns well68.9 tok/s4090 ms1.0M
ReasoningARuns well68.9 tok/s3323 ms1.0M
RAGARuns well68.9 tok/s5112 ms1.0M

Quantization options

How Kimi Linear 48B A3B (48B params) fits at each quantization level on Intel Data Center GPU Max 1550 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
18.7 GB
LowA71
Q3_K_S
3
23.5 GB
LowA72
NVFP4
4
26.9 GB
MediumA72
Q4_K_M
4
29.3 GB
MediumA73
Q5_K_M
5
34.6 GB
HighA74
Q6_K
6
39.4 GB
HighA75
Q8_0
8
51.4 GB
Very HighA77
F16Best for your GPU
16
98.4 GB
MaximumA80

Get started

Copy-paste commands to run Kimi Linear 48B A3B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "moonshotai/Kimi-Linear-48B-A3B-Instruct" \ --hf-file "Kimi-Linear-48B-A3B-Instruct-Q4_K_M.gguf" \ -c 4096 -ngl 99

Your hardware

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

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS29.2 tok/s
AlibabaQwen 3.5 122B A10B122BS81 tok/s
MistralMistral Small 4 119B119BS87.9 tok/s
OpenAIGPT-OSS 120B117BS30.7 tok/s
CohereCommand A 111B111BS32.5 tok/s

Frequently asked questions

Can Intel Data Center GPU Max 1550 128GB run Kimi Linear 48B A3B?

Yes, Intel Data Center GPU Max 1550 128GB can run Kimi Linear 48B A3B with a A grade (Runs well). Expected decode speed: 68.9 tok/s.

How much VRAM does Kimi Linear 48B A3B need?

Kimi Linear 48B A3B (48B parameters) requires approximately 44.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Kimi Linear 48B A3B?

The recommended quantization for Kimi Linear 48B A3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Kimi Linear 48B A3B run at on Intel Data Center GPU Max 1550 128GB?

On Intel Data Center GPU Max 1550 128GB, Kimi Linear 48B A3B achieves approximately 68.9 tokens per second decode speed with a time-to-first-token of 2812ms using Q4_K_M quantization.

Can Intel Data Center GPU Max 1550 128GB run Kimi Linear 48B A3B for coding?

For coding workloads, Kimi Linear 48B A3B on Intel Data Center GPU Max 1550 128GB receives a A grade with 68.9 tok/s and 1.0M context.

What context window can Kimi Linear 48B A3B use on Intel Data Center GPU Max 1550 128GB?

On Intel Data Center GPU Max 1550 128GB, Kimi Linear 48B A3B can safely use up to 1.0M tokens of context. The model's official context limit is 1.0M, but available memory constrains the safe maximum.

What should I upgrade first if Kimi Linear 48B 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.

Would CUDA be a better path than Intel Data Center GPU Max 1550 128GB for Kimi Linear 48B 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.

See all results for Intel Data Center GPU Max 1550 128GBSee all hardware for Kimi Linear 48B A3B
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