Voilà, install macOS on ANY Computer! This is really and magic easiest way!

Last update: Jan 09, 2023

Related tags

Data Visualization OSX-PROXMOX

Overview

OSX-PROXMOX - Run macOS on ANY Computer - AMD & Intel

Install Proxmox VE v7.02 - Next, Next & Finish (NNF).

Open Proxmox Web Console -> Datacenter > NAME OF YOUR HOST > Shell.

Copy, paste and execute.

Voilà, install macOS! This is really and magic easiest way!

COPY & PASTE - in shell of Proxmox

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/luchina-gabriel/OSX-PROXMOX/main/install.sh)"

Versions of macOS Supported

macOS High Sierra - 10.13
macOS Mojave - 10.14
macOS Catalina - 10.15
macOS Big Sur - 11
macOS Monterey - 12

Versions of Proxmox VE Supported

7.0-2 ~ 7.0-11

Opencore version

November/2021 - 0.7.5 with SIP Enabled, DMG only signed by Apple and all features of securities.

Disclaimer

FOR DEV/STUDENT/TEST ONLY PURPOSES.
I'm not responsible for any problem and/or equipment damage or loss of files. Always back up everything before any changes to your computer.

Credits

Opencore/Acidanthera Team
Corpnewt for Applications (ProperTree, genSMBIOS, etc)
Apple for macOS
Proxmox - Excelent and better documentation for Virtualization

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Comments

Update install.sh

For me this sh script didn't work and stuck on echo "Waiting install OSX-PROXMOX..." after that there was an error that /root/OSX-PROXMOX/setup does not exist.

Folder was create

opened by nemoback 2

Voilà, install macOS on ANY Computer! This is really and magic easiest way!

Related tags

Overview

OSX-PROXMOX - Run macOS on ANY Computer - AMD & Intel

COPY & PASTE - in shell of Proxmox

Versions of macOS Supported

Versions of Proxmox VE Supported

Opencore version

Disclaimer

Credits

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These data visualizations were created for my introductory computer science course using Python

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Drug design and development team HackBio internship is a virtual bioinformatics program that introduces students and professional to advanced practical bioinformatics and its applications globally.

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Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Comments

Update install.sh

Releases(3.2.0)

Owner

Gabriel Luchina

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