How going dual-native means VM/container co-existence and sovereign security in the AI era

The article discusses the challenges faced by enterprises in the AI era related to the coexistence of virtual machines (VMs) and containers, collectively known as the "VM-container divide." This divide arises as businesses transition critical applications to containers while existing data and applications continue running on VMs.

The article explains that this split creates various issues such as duplicate capacity plans, separate support contracts, and fragmented governance. The author highlights that inefficient resource utilization and the inability to share resources without manual intervention are common consequences of this fragmentation. Additionally, it is mentioned that VM and container environments often lead to siloed infrastructure, making it difficult to operationalize and scale agentic AI securely and consistently.

The article also touches upon the growing popularity of containers due to the rise of AI-enabled applications. Approximately 85% of IT executives surveyed believe that AI is accelerating the adoption of containers. However, despite the shift towards containers, many organizations still rely on traditional VM-based applications and data.

The author suggests that the migration towards containers is slow, with many enterprises continuing to invest in their existing VM infrastructure. Nutanix, a company mentioned in the article, proposes a solution through its dual-native architecture, which allows organizations to operate AI workloads across both container-based and VM-based environments consistently.

The author concludes that the challenge lies in moving towards a unified operating model that enables enterprises to operationalize AI while maintaining flexibility across diverse environments.