Can Granite 4.1 8B run on RTX 3080 Ti 12GB?

YES — Runs Great

A81Great

Estimated from fit model

Granite 4.1 8B needs ~9.7 GB VRAM. RTX 3080 Ti 12GB has 12.0 GB. With Q4_K_M quantization, expect ~112 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) — 9.7 GB, 112.0 tok/s, Runs well

9.7 GB required12.0 GB available

81% VRAM used

Fit status

Runs well

Decode

112.0 tok/s

TTFT

1729 ms

Safe context

31K

Memory

9.7 GB / 12.0 GB

Memory breakdown

Weights4.9 GB

KV Cache2.4 GB

Runtime1.2 GB

Headroom1.2 GB

See how fast it feels

See how fast it feelsGranite 4.1 8B on RTX 3080 Ti 12GB
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: 112.0 tok/s decode · 1.7s TTFT (warm) · 280 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	112.0 tok/s	943 ms	31K
Coding	A	Runs well	112.0 tok/s	1729 ms	31K
Agentic Coding	A	Runs with offload (needs ~0.1 GB host RAM)	108.4 tok/s	2598 ms	31K
Reasoning	A	Runs well	112.0 tok/s	2043 ms	31K
RAG	A	Runs with offload (needs ~0.1 GB host RAM)	108.4 tok/s	3248 ms

Quantization options

How Granite 4.1 8B (8B params) fits at each quantization level on RTX 3080 Ti 12GB (12.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	A74
Q3_K_S	3	3.9 GB	Low	A75
NVFP4	4

Get started

Copy-paste commands to run Granite 4.1 8B on your machine.

Run

ollama run granite4.1:8b

Your hardware

More models your RTX 3080 Ti 12GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.5 9B	9B	S	126 tok/s
Qwen 3 14B	14B	A	50.9 tok/s

Frequently asked questions

Can RTX 3080 Ti 12GB run Granite 4.1 8B?

Yes, RTX 3080 Ti 12GB can run Granite 4.1 8B with a A grade (Runs well). Expected decode speed: 112.0 tok/s.

How much VRAM does Granite 4.1 8B need?

Granite 4.1 8B (8B parameters) requires approximately 9.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite 4.1 8B?

The recommended quantization for Granite 4.1 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite 4.1 8B run at on RTX 3080 Ti 12GB?

On RTX 3080 Ti 12GB, Granite 4.1 8B achieves approximately 112.0 tokens per second decode speed with a time-to-first-token of 1729ms using Q4_K_M quantization.

Can RTX 3080 Ti 12GB run Granite 4.1 8B for coding?

For coding workloads, Granite 4.1 8B on RTX 3080 Ti 12GB receives a A grade with 112.0 tok/s and 31K context.

What context window can Granite 4.1 8B use on RTX 3080 Ti 12GB?

On RTX 3080 Ti 12GB, Granite 4.1 8B can safely use up to 31K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RTX 3080 Ti 12GB See all hardware for Granite 4.1 8B

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