Towards an AI Model Virtual Machine: A Secure and Interoperable Future for AI Applications

The increasing capabilities of LLMs and extension mechanisms like MCP have significantly heightened the complexity of building secure and reliable AI applications. This paper proposes an AI Model Virtual Machine (MVM), analogous to the Java Virtual Machine (JVM), to provide AI models with security, isolation, extensibility, and portability. The MVM decouples model development from integration logic, allowing for plug-and-play model interchangeability and incorporating built-in security and access controls to safeguard AI application security and privacy. Further benefits include transparent performance and resource tracking, and potential for verifiable model outputs. This innovation promises to address significant challenges in AI application development, paving the way for a more secure, reliable, and efficient AI ecosystem.