Will It Run AI

Can Nemotron Cascade 2 30B A3B run on Intel Data Center GPU Max 1550 128GB?

YES — Runs Great

S85Excellent
Estimated from fit model

Nemotron Cascade 2 30B A3B needs ~34.9 GB VRAM. Intel Data Center GPU Max 1550 128GB has 128.0 GB. With Q4_K_M quantization, expect ~312 tok/s.

Runtime: llama.cppCapacity: 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) — 34.9 GB, 311.6 tok/s, Runs well
34.9 GB required128.0 GB available
27% VRAM used

Fit status

Runs well

Decode

311.6 tok/s

TTFT

621 ms

Safe context

262K

Memory

34.9 GB / 128.0 GB

Memory breakdown

Weights18.3 GB
KV Cache2.9 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsNemotron Cascade 2 30B 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: 311.6 tok/s decode · 621ms TTFT (warm) · 779 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 well311.6 tok/s350 ms262K
CodingSRuns well311.6 tok/s621 ms262K
Agentic CodingSRuns well311.6 tok/s904 ms262K
ReasoningSRuns well311.6 tok/s734 ms262K
RAGSRuns well311.6 tok/s1129 ms262K

Quantization options

How Nemotron Cascade 2 30B A3B (30B params) fits at each quantization level on Intel Data Center GPU Max 1550 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
LowA76
Q3_K_S
3
14.7 GB
LowA76
NVFP4
4
16.8 GB
MediumA77
Q4_K_M
4
18.3 GB
MediumA77
Q5_K_M
5
21.6 GB
HighA77
Q6_K
6
24.6 GB
HighA77
Q8_0
8
32.1 GB
Very HighA79
F16Best for your GPU
16
61.5 GB
MaximumA83

Get started

Copy-paste commands to run Nemotron Cascade 2 30B A3B on your machine.

Run

ollama run nemotron-cascade-2

Your hardware

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

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS29.2 tok/s
AlibabaQwen3-Coder 30B A3B Instruct30.5BS304.8 tok/s
AlibabaQwen 3.5 122B A10B122BS81 tok/s
AlibabaQwen 3.6 35B A3B35BS256.2 tok/s
AlibabaQwen 3.5 35B A3B35BS278.6 tok/s

Frequently asked questions

Can Intel Data Center GPU Max 1550 128GB run Nemotron Cascade 2 30B A3B?

Yes, Intel Data Center GPU Max 1550 128GB can run Nemotron Cascade 2 30B A3B with a S grade (Runs well). Expected decode speed: 311.6 tok/s.

How much VRAM does Nemotron Cascade 2 30B A3B need?

Nemotron Cascade 2 30B A3B (30B parameters) requires approximately 34.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Nemotron Cascade 2 30B A3B?

The recommended quantization for Nemotron Cascade 2 30B A3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Nemotron Cascade 2 30B A3B run at on Intel Data Center GPU Max 1550 128GB?

On Intel Data Center GPU Max 1550 128GB, Nemotron Cascade 2 30B A3B achieves approximately 311.6 tokens per second decode speed with a time-to-first-token of 621ms using Q4_K_M quantization.

Can Intel Data Center GPU Max 1550 128GB run Nemotron Cascade 2 30B A3B for coding?

For coding workloads, Nemotron Cascade 2 30B A3B on Intel Data Center GPU Max 1550 128GB receives a S grade with 311.6 tok/s and 262K context.

What context window can Nemotron Cascade 2 30B A3B use on Intel Data Center GPU Max 1550 128GB?

On Intel Data Center GPU Max 1550 128GB, Nemotron Cascade 2 30B 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.

What should I upgrade first if Nemotron Cascade 2 30B 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 Nemotron Cascade 2 30B 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 Nemotron Cascade 2 30B A3B
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