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Publication Date: 2026-08-26 17:40:00
Nutanix has announced the general availability of Nutanix Enterprise AI (NAI) 2.8 alongside the upcoming release of Nutanix Kubernetes Platform (NKP) 2.19. The updates focus on bridging the gap between legacy virtualized environments and modern containerized AI workloads. By implementing a dual-native architecture, Nutanix aims to allow organizations to run virtual machines and containerized AI applications side by side on existing infrastructure, minimizing the need to create distinct infrastructure silos or migrate data across complex networking layers.
“Enterprise AI should not require customers to rebuild the systems that already run their business,” said Thomas Cornely, EVP of product management at Nutanix. The company’s dual-native approach is designed to maintain consistent management and governance across VMs, containers, and AI frameworks, enabling near bare-metal execution on virtualized systems while retaining architectural flexibility.
Nutanix Enterprise AI 2.8 Architecture and Capabilities
NAI 2.8 provides a unified management plane for deploying, governing, and scaling large language models (LLMs) and agentic workflows across hybrid environments. The control plane delivers centralized visibility into token consumption, built-in observability metrics, and model-as-a-service functionality.
To facilitate agentic AI frameworks, the platform introduces a generally available Model Context Protocol (MCP) Gateway. This gateway serves as a standardized access…
