Deploying BMC AMI AI Services 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 is divided into these steps:
   1. Step 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 username and password.
   2. Step 2 – Model Deployment

      1. Based on the selected configuration, you must run the command. Do not run all model commands. 

         LLM	command
         Mixtral8x7B-instruct Quantized	chmod +x BMC-AMI-AI-Mixtral.sh sed -i -e 's/\r$//' BMC-AMI-AI-Mixtral.sh ./BMC-AMI-AI-Mixtral.sh
         Meta-Llama-3-8B-instruct 4K Quantized (GPU)	chmod +x BMC-AMI-AI-Llama-GPU.sh sed -i -e 's/\r$//' BMC-AMI-AI-Llama-GPU.sh ./BMC-AMI-AI-Llama-GPU.sh
         Meta-Llama-3-8B-instruct 4K Quantized (CPU)	chmod +x BMC-AMI-AI-Llama.sh sed -i -e 's/\r$//' BMC-AMI-AI-Llama.sh ./BMC-AMI-AI-Llama.sh

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

Where to go from here

See Verifying-the-BMC-AMI-AI-Services-on-Azure-virtual-machine.