MacBook Pro M4 Max 96GB经济之选
96 GB Unified (+48)
B
Adds memory headroom for longer context windows and future model growth.42 tok/s 解码
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Can Granite 4.1 3B run on NVIDIA L40 48GB?
YES — Runs Great
B61Good
Estimated from fit model
Granite 4.1 3B needs ~8.8 GB VRAM. NVIDIA L40 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.
Select quantization to explore
Q4_K_M (Medium quality) — 8.8 GB, 48.0 tok/s, Runs well
8.8 GB required48.0 GB available
18% VRAM used
Fit status
Runs well
Decode
48.0 tok/s
TTFT
4033 ms
Safe context
131K
Memory
8.8 GB / 48.0 GB
Memory breakdown
Weights1.8 GB
KV Cache1.2 GB
Runtime0.9 GB
Headroom4.8 GB
See how fast it feels
See how fast it feelsGranite 4.1 3B on NVIDIA L40 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 | 131K |
| Coding | B | Runs well | 48.0 tok/s | 4033 ms | 131K |
| Agentic Coding | B | Runs well | 48.0 tok/s | 5867 ms | 131K |
| Reasoning | B | Runs well | 48.0 tok/s | 4767 ms | 131K |
| RAG | B | Runs well | 48.0 tok/s | 7333 ms | 131K |
Quantization options
How Granite 4.1 3B (3B params) fits at each quantization level on NVIDIA L40 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | B58 |
Q3_K_S | 3 | 1.5 GB | Low | B58 |
NVFP4 | 4 | 1.7 GB | Medium | B58 |
Q4_K_M | 4 | 1.8 GB | Medium | B58 |
Q5_K_M | 5 | 2.2 GB | High | B58 |
Q6_K | 6 | 2.5 GB | High | B58 |
Q8_0 | 8 | 3.2 GB | Very High | B58 |
F16Best for your GPU | 16 | 6.1 GB | Maximum | B59 |
Get started
Copy-paste commands to run Granite 4.1 3B on your machine.
Run
ollama run granite4.1:3b升级选项
能流畅运行 Granite 4.1 3B 的硬件
Frequently asked questions
Can NVIDIA L40 48GB run Granite 4.1 3B?
Yes, NVIDIA L40 48GB can run Granite 4.1 3B with a B grade (Runs well). Expected decode speed: 48.0 tok/s.
How much VRAM does Granite 4.1 3B need?
Granite 4.1 3B (3B parameters) requires approximately 8.8 GB of memory with Q4_K_M quantization.
What is the best quantization for Granite 4.1 3B?
The recommended quantization for Granite 4.1 3B is Q4_K_M, which balances quality and memory efficiency.
What speed will Granite 4.1 3B run at on NVIDIA L40 48GB?
On NVIDIA L40 48GB, Granite 4.1 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 L40 48GB run Granite 4.1 3B for coding?
For coding workloads, Granite 4.1 3B on NVIDIA L40 48GB receives a B grade with 48.0 tok/s and 131K context.
What context window can Granite 4.1 3B use on NVIDIA L40 48GB?
On NVIDIA L40 48GB, Granite 4.1 3B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
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<iframe src="https://willitrunai.com/embed/granite-4.1-3b-on-l40-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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