Can Granite 4.1 30B run on RTX PRO 5000 Blackwell 48GB?

YES — Runs Great

S86Excellent

○Estimated from fit model

Granite 4.1 30B needs ~28.2 GB VRAM. RTX PRO 5000 Blackwell 48GB has 48.0 GB. With Q4_K_M quantization, expect ~66 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: 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) — 28.2 GB, 66.3 tok/s, Runs well

28.2 GB required48.0 GB available

59% VRAM used

Fit status

Runs well

Decode

66.3 tok/s

TTFT

2919 ms

Safe context

97K

Memory

28.2 GB / 48.0 GB

Memory breakdown

Weights18.3 GB

KV Cache3.9 GB

Runtime1.2 GB

Headroom4.8 GB

See how fast it feels

See how fast it feelsGranite 4.1 30B on RTX PRO 5000 Blackwell 48GB
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: 66.3 tok/s decode · 2.9s TTFT (warm) · 166 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	66.3 tok/s	1592 ms	97K
Coding	S	Runs well	66.3 tok/s	2919 ms	97K
Agentic Coding	S	Runs well	66.3 tok/s	4246 ms	97K
Reasoning	S	Runs well	66.3 tok/s	3450 ms	97K
RAG	S	Runs well	66.3 tok/s	5308 ms	97K

Quantization options

How Granite 4.1 30B (30B params) fits at each quantization level on RTX PRO 5000 Blackwell 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.7 GB	Low	A76
Q3_K_S	3	14.7 GB	Low	A77
NVFP4	4	16.8 GB	Medium	A77
Q4_K_M	4	18.3 GB	Medium	A78
Q5_K_M	5	21.6 GB	High	A79
Q6_K	6	24.6 GB	High	A80
Q8_0Best for your GPU	8	32.1 GB	Very High	A80
F16	16	61.5 GB	Maximum	F0

Get started

Copy-paste commands to run Granite 4.1 30B on your machine.

Run

ollama run granite4.1:30b

Your hardware

More models your RTX PRO 5000 Blackwell 48GB can run

Model	Params	Grade	Decode
👁 Alibaba Qwen3-Coder 30B A3B Instruct	30.5B	S	170.7 tok/s
👁 Alibaba Qwen 3.6 35B A3B	35B	S	143.5 tok/s
👁 Alibaba Qwen 3.5 35B A3B	35B	S	156 tok/s
👁 Alibaba Qwen 3 32B	32B	S	62.9 tok/s
👁 Alibaba Qwen 3 30B A3B	30.5B	S	170.7 tok/s

Frequently asked questions

See all results for RTX PRO 5000 Blackwell 48GB See all hardware for Granite 4.1 30B

URL: https://willitrunai.com/can-run/granite-4.1-30b-on-rtx-pro-5000-blackwell-48gb

⇱ Granite 4.1 30B on RTX PRO 5000 Blackwell 48GB? YES