Can Granite Code 3B run on NVIDIA L40S 48GB?

YES — Runs Great

B60Good

Estimated from fit model

Granite Code 3B needs ~10.0 GB VRAM. NVIDIA L40S 48GB has 48.0 GB. With Q4_K_M quantization, expect ~48 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: 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) — 10.0 GB, 48.0 tok/s, Runs well

10.0 GB required48.0 GB available

21% VRAM used

Fit status

Runs well

Decode

48.0 tok/s

TTFT

4033 ms

Safe context

Memory

10.0 GB / 48.0 GB

Memory breakdown

Weights1.8 GB

KV Cache2.5 GB

Runtime0.9 GB

Headroom4.8 GB

See how fast it feels

See how fast it feelsGranite Code 3B on NVIDIA L40S 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: 48.0 tok/s decode · 4.0s TTFT (warm) · 120 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	B	Runs well	48.0 tok/s	2200 ms	8K
Coding	B	Runs well	48.0 tok/s	4033 ms	8K
Agentic Coding	B	Runs well	48.0 tok/s	5867 ms	8K
Reasoning	B	Runs well	48.0 tok/s	4767 ms	8K
RAG	B	Runs well	48.0 tok/s	7333 ms	8K

Quantization options

How Granite Code 3B (3B params) fits at each quantization level on NVIDIA L40S 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.2 GB	Low	B57
Q3_K_S	3	1.5 GB	Low	B57
NVFP4	4	1.7 GB	Medium	B57
Q4_K_M	4	1.8 GB	Medium	B57
Q5_K_M	5	2.2 GB	High	B57
Q6_K	6	2.5 GB	High	B57
Q8_0	8	3.2 GB	Very High	B58
F16Best for your GPU	16	6.1 GB	Maximum	B58

Get started

Copy-paste commands to run Granite Code 3B on your machine.

Run

ollama run granite-code:3b

Frequently asked questions

Can NVIDIA L40S 48GB run Granite Code 3B?

Yes, NVIDIA L40S 48GB can run Granite Code 3B with a B grade (Runs well). Expected decode speed: 48.0 tok/s.

How much VRAM does Granite Code 3B need?

Granite Code 3B (3B parameters) requires approximately 10.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite Code 3B?

The recommended quantization for Granite Code 3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite Code 3B run at on NVIDIA L40S 48GB?

On NVIDIA L40S 48GB, Granite Code 3B achieves approximately 48.0 tokens per second decode speed with a time-to-first-token of 4033ms using Q4_K_M quantization.

Can NVIDIA L40S 48GB run Granite Code 3B for coding?

For coding workloads, Granite Code 3B on NVIDIA L40S 48GB receives a B grade with 48.0 tok/s and 8K context.

What context window can Granite Code 3B use on NVIDIA L40S 48GB?

On NVIDIA L40S 48GB, Granite Code 3B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.

See all results for NVIDIA L40S 48GB See all hardware for Granite Code 3B

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Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

48.0 tok/s

2200 ms

Coding

Runs well

48.0 tok/s

4033 ms

Agentic Coding

Runs well

48.0 tok/s

5867 ms

Reasoning

Runs well

48.0 tok/s

4767 ms

RAG

Runs well

48.0 tok/s

7333 ms

Quantization options

How Granite Code 3B (3B params) fits at each quantization level on NVIDIA L40S 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.2 GB	Low	B57
Q3_K_S	3	1.5 GB	Low	B57
NVFP4	4	1.7 GB	Medium	B57
Q4_K_M	4	1.8 GB	Medium	B57
Q5_K_M	5	2.2 GB	High	B57
Q6_K	6	2.5 GB	High	B57
Q8_0	8	3.2 GB	Very High	B58
F16Best for your GPU	16	6.1 GB	Maximum	B58

Frequently asked questions

Can NVIDIA L40S 48GB run Granite Code 3B?

Yes, NVIDIA L40S 48GB can run Granite Code 3B with a B grade (Runs well). Expected decode speed: 48.0 tok/s.

How much VRAM does Granite Code 3B need?

Granite Code 3B (3B parameters) requires approximately 10.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Granite Code 3B?

The recommended quantization for Granite Code 3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Granite Code 3B run at on NVIDIA L40S 48GB?

On NVIDIA L40S 48GB, Granite Code 3B achieves approximately 48.0 tokens per second decode speed with a time-to-first-token of 4033ms using Q4_K_M quantization.

Can NVIDIA L40S 48GB run Granite Code 3B for coding?

For coding workloads, Granite Code 3B on NVIDIA L40S 48GB receives a B grade with 48.0 tok/s and 8K context.

What context window can Granite Code 3B use on NVIDIA L40S 48GB?

On NVIDIA L40S 48GB, Granite Code 3B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.