Deploying BMC AMI AI Services on your Azure virtual machine

Before you begin

See Making-a-secure-copy-of-the-required-files-on-your-Azure-virtual-machine.

To deploy BMC AMI AI Services on Azure virtual machine

1. Connect to the newly acquired Azure virtual machine via SSH. Make sure that the login credentials have admin access.
2. Deploy the application. BMC AMI AI Services deployment consists of the following steps:
   1. BMC AMI Platform services deployment

      1. Run the following commands to deploy AMI AI Platform Services: 

         chmod +x BMC-AMI-AI-Platform.sh
         sed -i -e 's/\r$//' BMC-AMI-AI-Platform.sh
         ./BMC-AMI-AI-Platform.sh
      2. When prompted, enter your EPD portal's user name and password.
   2. Integration deployment

      1. For BMC AMI AI Code Insights Explain, run the following command:

         chmod +x BMC-AMI-AI-Devx.sh
         sed -i -e 's/\r$//' BMC-AMI-AI-Devx.sh
         ./BMC-AMI-AI-Devx.sh

      2. For BMC AMI Ops Insights Root Cause Explain, run the following command:

         chmod +x BMC-AMI-AI-OI.sh
         sed -i -e 's/\r$//' BMC-AMI-AI-OI.sh
         ./BMC-AMI-AI-OI.sh
   3. Model Deployment

      1. Run one of the following commands, based on the selected configuration. Do not run all the commands. 

         Configuration type	Command
         Recommended	chmod +x BMC-AMI-AI-GPU.sh sed -i -e 's/\r$//' BMC-AMI-AI-GPU.sh ./BMC-AMI-AI-GPU.sh After running this command, enter Mixtral, Granite, or Llama the selection prompt window.

      2. When prompted, enter your EPD portal's user name and password.

Where to go from here

Verify that BMC AMI AI Services are properly deployed on your Azure virtual machine. For more information, see Verifying-the-installation.