Can Granite 4.1 8B run on RTX 2080 Ti 11GB?

YES — Tight Fit

A78Great

Estimated from fit model

Granite 4.1 8B needs ~9.6 GB VRAM. RTX 2080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~88 tok/s.

Runtime: OllamaCapacity: TightBandwidth: MediumStack: 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) — 9.6 GB, 88.2 tok/s, Tight fit

9.6 GB required11.0 GB available

87% VRAM used

Fit status

Tight fit

Decode

88.2 tok/s

TTFT

2195 ms

Safe context

25K

Memory

9.6 GB / 11.0 GB

Memory breakdown

Weights4.9 GB

KV Cache2.4 GB

Runtime1.2 GB

Headroom1.1 GB

See how fast it feels

See how fast it feelsGranite 4.1 8B on RTX 2080 Ti 11GB
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: 88.2 tok/s decode · 2.2s TTFT (warm) · 221 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	88.2 tok/s	1197 ms	25K
Coding	A	Tight fit	88.2 tok/s	2195 ms	25K
Agentic Coding	B	Very compromised (needs ~0.4 GB host RAM)	52.5 tok/s	5360 ms	25K
Reasoning	A	Tight fit	88.2 tok/s	2594 ms	25K
RAG	B	Very compromised (needs ~0.4 GB host RAM)	52.5 tok/s	6700 ms

Quantization options

How Granite 4.1 8B (8B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	A75
Q3_K_S	3	3.9 GB	Low	A76
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 2080 Ti 11GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.5 9B	9B	S	78.4 tok/s
Nemotron Nano 9B v2	9B	A	78.4 tok/s

Frequently asked questions

Can RTX 2080 Ti 11GB run Granite 4.1 8B?

Yes, RTX 2080 Ti 11GB can run Granite 4.1 8B with a A grade (Tight fit). Expected decode speed: 88.2 tok/s.

How much VRAM does Granite 4.1 8B need?

Granite 4.1 8B (8B parameters) requires approximately 9.6 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 2080 Ti 11GB?

On RTX 2080 Ti 11GB, Granite 4.1 8B achieves approximately 88.2 tokens per second decode speed with a time-to-first-token of 2195ms using Q4_K_M quantization.

Can RTX 2080 Ti 11GB run Granite 4.1 8B for coding?

For coding workloads, Granite 4.1 8B on RTX 2080 Ti 11GB receives a A grade with 88.2 tok/s and 25K context.

What context window can Granite 4.1 8B use on RTX 2080 Ti 11GB?

On RTX 2080 Ti 11GB, Granite 4.1 8B can safely use up to 25K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RTX 2080 Ti 11GB See all hardware for Granite 4.1 8B

Embed this result▼

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/granite-4.1-8b-on-rtx-2080-ti-11gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: