🧠 Mac Mini for Local AI? Thought About It…

Lately, I’ve seen a lot of people flexing their Mac Mini stacks for local AI/LLM workloads. Seemed cool, minimal, power-efficient. So I thought:

“Why not grab a second-hand Mac Mini and connect it to my homelab? Just for local AI stuff?”

Well… turns out there’s a catch.

🚧 The Problem with Cheap Mac Minis

Most second-hand Mac Minis come with 8GB or 16GB of Unified Memory, and yeah, macOS can allocate up to 75% of that to GPU compute. But if you’re trying to run models like:

we are making this blogging journey possible besause of

it is obsidian a note taker

and

Hugo is one of the most popular open-source project. With its amazing speed and flexibility, Hugo makes building websites fun again.

! an example 👍

once we published the blog the image changed their names like this

has been changed to

we are making this blogging journey possible besause of 
![Pasted image 20250708221818.png](/images/Pasted%20image%2020250708221818.png)
it is obsidian a note taker

and

![Pasted image 20250708221908.png](/images/Pasted%20image%2020250708221908.png)
Hugo is one of the most popular open-source project. With its amazing speed and flexibility, Hugo makes building websites fun again.



!![Image](/images/Pasted%20image%2020250708220245.png)
an example 👍

by a python scrip

import os

import re

  

# Path to folder with Markdown files

folder_path = r"C:\Users\path\to\Obsidian Vault\post"

  

# Regex to match the full Markdown image syntax with Pasted image pattern

pattern = re.compile(r'!\[Pasted image (\d+\.png)\]\(/images/Pasted%20image%20\d+\.png\)')

  

# Go through each .md file in the folder

for filename in os.listdir(folder_path):

    if filename.endswith(".md"):

        filepath = os.path.join(folder_path, filename)

  

        with open(filepath, "r", encoding="utf-8") as f:

            content = f.read()

  

        # Replace with Obsidian-style embed

        new_content = pattern.sub(r'![[Pasted image \1]]', content)

  

        if new_content != content:

            with open(filepath, "w", encoding="utf-8") as f:

                f.write(new_content)

            print(f"✅ Fixed: {filename}")

hope you like it from next blog we will be dam serious