Nutanix has announced the general availability of Nutanix Enterprise AI (NAI) 2.8 and the upcoming release of Nutanix Kubernetes Platform (NKP) 2.19, expanding its dual-native architecture to help enterprises deploy governed agentic AI across virtual machines and containers.

Many enterprises face a structural challenge when deploying AI: critical applications and data remain spread across both virtualised and containerised environments, forcing infrastructure silos or costly rearchitecting. Nutanix addresses this with a governed, dual-native architecture that runs traditional applications and modern AI side by side, integrated with silicon partners to provide choice and flexibility. By bringing AI to where enterprise data already lives, Nutanix aims to help customers reduce silos and accelerate return on investment without added networking and data layer complexity.

NAI 2.8: centralised control for AI inference and agentic workloads

NAI 2.8 delivers a unified and secure platform to deploy, manage, and scale AI workloads across hybrid environments. It enables enterprises to enforce governance over agents and models, gain visibility over token usage, and streamline AI development with built-in observability metrics and model-as-a-service capabilities.

Key updates in NAI 2.8 include:

NKP 2.19: AI-optimised container management coming soon

NKP 2.19, expected to be available soon, is designed to simplify container operations across bare metal and virtualised environments without requiring complex custom stacks. It will provide an AI-optimised platform for building and running agentic applications at scale.

Upcoming features in NKP 2.19 include:

• NKP Metal: Brings HCI-grade simplicity to bare-metal Kubernetes with automated OS, firmware, and container deployment, and persistent enterprise-grade storage natively.
• NKP Full Stack: NKP on AHV combined with Nutanix Flow is designed to deliver stronger network-level sandboxing for AI agents, providing isolation to mitigate rogue attacks and lateral movement.
• AI Applications Catalog: Offers a one-click deployment path for curated, validated AI/ML software including Kubeflow, Milvus, and Slurm.
• Hardware and compliance: Planned expansion of ecosystem support with validated GPU integrations and dynamic resource allocation for AI workloads.

NKP has also attained formal Cloud Native Computing Foundation (CNCF) certification, validating that it provides the standardised APIs and capabilities required to operate enterprise AI workloads reliably.

Storage performance and partner ecosystem

Nutanix Unified Storage (NUS) has achieved NVIDIA-Certified Storage validation at the enterprise level, establishing a low-latency, high-throughput data path directly to GPUs to maximise GPU utilisation and support linear scalability for large-scale production AI workloads.

For partners, Nutanix launched the Powered by Nutanix: Verified Services program, designed to help partners build validated, high-margin services practices spanning the full customer lifecycle across hybrid cloud infrastructure, Kubernetes, and VM migration. Service Provider (SP) Central, also now generally available, provides a unified multitenant control plane giving service providers a consistent foundation to build and monetise infrastructure, application, cloud-native, and AI services.

Industry and customer perspectives

Thomas Cornely, Executive Vice President of Product Management at Nutanix, stated: "Enterprise AI should not require customers to rebuild the systems that already run their business. With our dual-native architecture, customers can bring AI to their existing applications and data while running each workload on the infrastructure best suited to it, with consistent operations and governance across VMs, containers and AI."

Matt Flug of IDC noted that Nutanix's dual-native model, which unifies services such as networking, security, and data protection across both VMs and containers, positions consistent policy enforcement and lifecycle management as key differentiators as application portfolios span legacy, refactored, and cloud-native designs.

NAI 2.8 and SP Central are generally available. NKP 2.19 will be available soon.

Nutanix (NASDAQ: NTNX) and ChronoScale Holdings Corporation (NASDAQ: CHRN) announced a strategic partnership on August 18, 2026, to jointly deliver enterprise-ready AI infrastructure. The collaboration aims to accelerate the adoption of AI services across global markets by combining Nutanix’s full portfolio of agentic AI solutions with ChronoScale’s accelerated compute, enterprise AI foundry, and outcome-driven delivery model.

The partnership brings together complementary capabilities that enterprise customers have historically had to assemble themselves. By integrating these technologies, the companies intend to provide a unified path to production-scale AI environments, reducing operational complexity and accelerating time-to-value for enterprises adopting AI at scale.

Platform Integration and Services

ChronoScale plans to extend Nutanix’s on-premises cloud footprint with elastic access to modern GPU capacity. The integration includes two primary offerings:

• GPU-as-a-Service (GPUaaS): Allows customers to procure reserved capacity for predictable workloads.
• Token Factory: Provides pre-paid inference tokens backed by leading open-source models for burst and experimental workloads.

Both offerings will integrate with Nutanix enterprise AI offerings, including Agent Gateway and Private Inferencing. The goal is to provide customers with a single control plane across their on-premises environment and ChronoScale capacity.

ChronoScale Foundry Deployment

Nutanix will enable the deployment of ChronoScale Foundry, an enterprise AI foundry, inside the customer’s own environment. This allows enterprises to build, run, and govern agentic workflows locally while keeping agents, enterprise data, and workflow state within their boundary. Customers can deploy Foundry directly through the Nutanix Kubernetes Platform Catalog, extending Nutanix’s AI portfolio into managed agentic workloads.

Strategic Context

The partnership is underpinned by both companies’ relationships with NVIDIA. ChronoScale is an NVIDIA Cloud Partner (NCP) delivering an accelerated computing platform built using NVIDIA-validated reference designs. Nutanix is an NVIDIA technology partner and ISV with a suite of NVIDIA validated software for operating enterprise AI factories.

ChronoScale plans to deploy NVIDIA HGX B300 systems interconnected via NVIDIA Spectrum-X networking and NVIDIA AI Enterprise software, including NVIDIA NIM microservices and NVIDIA NeMo. The companies intend to jointly maintain demonstration and proof-of-concept environments to support customer evaluations and target Global 2000 organizations seeking scalable AI infrastructure and sovereign AI services.

Cenly Chen, Chief Executive Officer of ChronoScale, stated that the partnership brings together Nutanix’s proven cloud platform and ChronoScale’s accelerated compute to give customers a shorter, more sovereign path to production AI. Tarkan Maner, President and Chief Commercial Officer of Nutanix, noted that the collaboration helps enterprises accelerate AI transformation by combining high-performance infrastructure with operational simplicity and security.

The partnership framework includes joint marketing activities, sales enablement, technical collaboration, and customer engagement programs. The companies intend to implement the partnership through one or more definitive agreements.