📄️ Untar the install package
Extract the ML Studio installation package with tar to create the workBenchInstall folder used for installation.
📄️ Install Docker and Docker Compose
Install Docker and Docker Compose on CentOS or Ubuntu before installing ML Studio, or confirm an existing version is compatible.
📄️ Edit the .env file (storage path and other parameters)
Set the SIMMACHINES_MOUNT_PATH and other required values in ML Studio's .env file before running the installation script.
📄️ Install ML Studio
Run the ML Studio installation command and confirm the GUI is reachable over HTTPS once installation completes.
📄️ Configuring SSL in ML Studio with NGINX (Using PEM and KEY Files)
Configure ML Studio's NGINX server with your own PEM and KEY SSL certificate files instead of the default certificate.