Ai tools in a private cloud environment

A computer-implemented method, comprising:

• receiving, via a user interface of a remote cloud management system, an indication to update a stack of artificial intelligence (AI) tools in a private cloud system, wherein the remote cloud management system is configured to remotely manage the private cloud system;
• in response to receiving the indication, updating, via the remote cloud management system, a virtual machine of a data services connector (DSC) of the private cloud system using the remote cloud management system;
• in response to receiving the indication and updating the virtual machine, using the virtual machine to update an AI service platform used to deploy the AI tools, wherein updating the AI service platform comprises:
• obtaining a current version for the AI service platform;
• pre-checking for compatibility of an update to the AI service platform and health of components of the AI service platform;
• downloading the update using an AI application programming interface (API) of the remote cloud management system;
• and
• installing the update.

A tangible, non-transitory, and computer-readable medium having stored thereon instructions, that when executed by one or more processors of one or more computers, are configured to cause the one or more computers to:

• present a user interface via a remote cloud management system that is configured to remotely manage an on-premises cloud system using a tunnel implemented using a data service connector (DSC) of the on-premises cloud system, wherein the on-premises cloud system comprises a plurality of artificial intelligence (AI) tools;
• receive an indication to update to AI tools;
• in response to the indication, update a virtual machine used to implement the DSC;
• after completing the update to the virtual machine, update an AI service platform used to implement the AI tools using the DSC implemented using the updated virtual machine;
• after completing the update to the AI service platform, update a hypervisor on one or more hypervisor hosts of the on-premises cloud system;
• and
• after completing the update to the hypervisor, update firmware control nodes and worker nodes of the on-premises cloud system.