Can Granite 4.1 30B run on NVIDIA L20 48GB?

YES — Runs Great

A84Great

Estimated from fit model

Granite 4.1 30B needs ~28.2 GB VRAM. NVIDIA L20 48GB has 48.0 GB. With Q4_K_M quantization, expect ~37 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, 37.1 tok/s, Runs well

28.2 GB required48.0 GB available

59% VRAM used

Fit status

Runs well

Decode

37.1 tok/s

TTFT

5225 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 NVIDIA L20 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: 37.1 tok/s decode · 5.2s TTFT (warm) · 93 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	37.1 tok/s	2850 ms	97K
Coding	A	Runs well	37.1 tok/s	5225 ms	97K
Agentic Coding	S	Runs well	37.1 tok/s	7600 ms	97K
Reasoning	A	Runs well	37.1 tok/s	6175 ms	97K
RAG	S	Runs well	37.1 tok/s	9501 ms	97K

Quantization options

How Granite 4.1 30B (30B params) fits at each quantization level on NVIDIA L20 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 NVIDIA L20 48GB can run

Model	Params	Grade	Decode
Qwen3-Coder 30B A3B Instruct	30.5B	S	95.4 tok/s
Qwen 3.6 35B A3B	35B	S	85.8 tok/s
Qwen 3.5 35B A3B	35B	S	93.3 tok/s
Qwen 3 32B	32B	S	35.1 tok/s
Qwen 3 30B A3B	30.5B	S	95.4 tok/s

Frequently asked questions

Can NVIDIA L20 48GB run Granite 4.1 30B?

Yes, NVIDIA L20 48GB can run Granite 4.1 30B with a A grade (Runs well). Expected decode speed: 37.1 tok/s.

How much VRAM does Granite 4.1 30B need?

Granite 4.1 30B (30B parameters) requires approximately 28.2 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite 4.1 30B?

The recommended quantization for Granite 4.1 30B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite 4.1 30B run at on NVIDIA L20 48GB?

On NVIDIA L20 48GB, Granite 4.1 30B achieves approximately 37.1 tokens per second decode speed with a time-to-first-token of 5225ms using Q4_K_M quantization.

Can NVIDIA L20 48GB run Granite 4.1 30B for coding?

For coding workloads, Granite 4.1 30B on NVIDIA L20 48GB receives a A grade with 37.1 tok/s and 97K context.

What context window can Granite 4.1 30B use on NVIDIA L20 48GB?

On NVIDIA L20 48GB, Granite 4.1 30B can safely use up to 97K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for NVIDIA L20 48GB See all hardware for Granite 4.1 30B

Embed this result▼

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<iframe src="https://willitrunai.com/embed/granite-4.1-30b-on-l20-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

37.1 tok/s

2850 ms

97K

Coding

Runs well

37.1 tok/s

5225 ms

97K

Agentic Coding

Runs well

37.1 tok/s

7600 ms

97K

Reasoning

Runs well

37.1 tok/s

6175 ms

97K

RAG

Runs well

37.1 tok/s

9501 ms

97K

Quantization options

How Granite 4.1 30B (30B params) fits at each quantization level on NVIDIA L20 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

Model

Params

Grade

Decode

Capabilities

Qwen3-Coder 30B A3B Instruct

30.5B

95.4 tok/s

Qwen 3.6 35B A3B

35B

85.8 tok/s

Qwen 3.5 35B A3B

35B

93.3 tok/s

Qwen 3 32B

32B

35.1 tok/s

Qwen 3 30B A3B

30.5B

95.4 tok/s

Frequently asked questions

Can NVIDIA L20 48GB run Granite 4.1 30B?

Yes, NVIDIA L20 48GB can run Granite 4.1 30B with a A grade (Runs well). Expected decode speed: 37.1 tok/s.

How much VRAM does Granite 4.1 30B need?

Granite 4.1 30B (30B parameters) requires approximately 28.2 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite 4.1 30B?

The recommended quantization for Granite 4.1 30B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite 4.1 30B run at on NVIDIA L20 48GB?

On NVIDIA L20 48GB, Granite 4.1 30B achieves approximately 37.1 tokens per second decode speed with a time-to-first-token of 5225ms using Q4_K_M quantization.

Can NVIDIA L20 48GB run Granite 4.1 30B for coding?

For coding workloads, Granite 4.1 30B on NVIDIA L20 48GB receives a A grade with 37.1 tok/s and 97K context.

What context window can Granite 4.1 30B use on NVIDIA L20 48GB?

On NVIDIA L20 48GB, Granite 4.1 30B can safely use up to 97K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.