Can Granite 3.1 8B run on Radeon Pro W6800 32GB?

YES — Runs Great

C53Usable

Estimated from fit model

Granite 3.1 8B needs ~10.9 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~73 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: 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) — 10.9 GB, 72.6 tok/s, Runs well

10.9 GB required32.0 GB available

34% VRAM used

Fit status

Runs well

Decode

72.6 tok/s

TTFT

2665 ms

Safe context

128K

Memory

10.9 GB / 32.0 GB

Memory breakdown

Weights4.9 GB

KV Cache2.0 GB

Runtime0.9 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsGranite 3.1 8B on Radeon Pro W6800 32GB
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: 72.6 tok/s decode · 2.7s TTFT (warm) · 182 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	C	Runs well	72.6 tok/s	1454 ms	128K
Coding	C	Runs well	72.6 tok/s	2665 ms	128K
Agentic Coding	C	Runs well	72.6 tok/s	3877 ms	128K
Reasoning	C	Runs well	72.6 tok/s	3150 ms	128K
RAG	C	Runs well	72.6 tok/s	4846 ms	128K

Quantization options

How Granite 3.1 8B (8B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	C48
Q3_K_S	3	3.9 GB	Low	C48
NVFP4	4	4.5 GB	Medium	C48
Q4_K_M	4	4.9 GB	Medium	C48
Q5_K_M	5	5.8 GB	High	C49
Q6_K	6	6.6 GB	High	C49
Q8_0	8	8.6 GB	Very High	C50
F16Best for your GPU	16	16.4 GB	Maximum	C54

Get started

Copy-paste commands to run Granite 3.1 8B on your machine.

Run

ollama run granite3.1-dense

Upgrade options

Hardware that runs Granite 3.1 8B well

MacBook Pro M4 Max 48GBBudget pick

48 GB Unified (+16)546 GB/s (+34)

This setup is broadly balanced for this model.87.1 tok/s decode

~$2,499 MSRP

MacBook Pro M3 Max 48GBBest value

48 GB Unified (+16)

This setup is broadly balanced for this model.60.8 tok/s decode

~$2,499 MSRP

Frequently asked questions

Can Radeon Pro W6800 32GB run Granite 3.1 8B?

Yes, Radeon Pro W6800 32GB can run Granite 3.1 8B with a C grade (Runs well). Expected decode speed: 72.6 tok/s.

How much VRAM does Granite 3.1 8B need?

Granite 3.1 8B (8B parameters) requires approximately 10.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite 3.1 8B?

The recommended quantization for Granite 3.1 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite 3.1 8B run at on Radeon Pro W6800 32GB?

On Radeon Pro W6800 32GB, Granite 3.1 8B achieves approximately 72.6 tokens per second decode speed with a time-to-first-token of 2665ms using Q4_K_M quantization.

Can Radeon Pro W6800 32GB run Granite 3.1 8B for coding?

For coding workloads, Granite 3.1 8B on Radeon Pro W6800 32GB receives a C grade with 72.6 tok/s and 128K context.

What context window can Granite 3.1 8B use on Radeon Pro W6800 32GB?

On Radeon Pro W6800 32GB, Granite 3.1 8B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.

See all results for Radeon Pro W6800 32GB See all hardware for Granite 3.1 8B

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<iframe src="https://willitrunai.com/embed/granite-3.1-8b-on-radeon-pro-w6800-32gb" 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

72.6 tok/s

1454 ms

128K

Coding

Runs well

72.6 tok/s

2665 ms

128K

Agentic Coding

Runs well

72.6 tok/s

3877 ms

128K

Reasoning

Runs well

72.6 tok/s

3150 ms

128K

RAG

Runs well

72.6 tok/s

4846 ms

128K

Quantization options

How Granite 3.1 8B (8B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	C48
Q3_K_S	3	3.9 GB	Low	C48
NVFP4	4	4.5 GB	Medium	C48
Q4_K_M	4	4.9 GB	Medium	C48
Q5_K_M	5	5.8 GB	High	C49
Q6_K	6	6.6 GB	High	C49
Q8_0	8	8.6 GB	Very High	C50
F16Best for your GPU	16	16.4 GB	Maximum	C54

Frequently asked questions

Can Radeon Pro W6800 32GB run Granite 3.1 8B?

Yes, Radeon Pro W6800 32GB can run Granite 3.1 8B with a C grade (Runs well). Expected decode speed: 72.6 tok/s.

How much VRAM does Granite 3.1 8B need?

Granite 3.1 8B (8B parameters) requires approximately 10.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite 3.1 8B?

The recommended quantization for Granite 3.1 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite 3.1 8B run at on Radeon Pro W6800 32GB?

On Radeon Pro W6800 32GB, Granite 3.1 8B achieves approximately 72.6 tokens per second decode speed with a time-to-first-token of 2665ms using Q4_K_M quantization.

Can Radeon Pro W6800 32GB run Granite 3.1 8B for coding?

For coding workloads, Granite 3.1 8B on Radeon Pro W6800 32GB receives a C grade with 72.6 tok/s and 128K context.

What context window can Granite 3.1 8B use on Radeon Pro W6800 32GB?

On Radeon Pro W6800 32GB, Granite 3.1 8B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.