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Nutanix Empowers Organizations to Run Production Agentic AI Their Way


Nutanix, a hybrid cloud leader and AI innovator, is releasing Nutanix Enterprise AI (NAI) 2.8, along with announcing the upcoming general availability of Nutanix Kubernetes Platform (NKP) 2.19—with new incentives, programs, and resources designed to help partners accelerate growth on emerging AI opportunities. 

Nutanix offers a governed, dual-native architecture that runs traditional applications and modern AI side by side, allowing the infrastructure to flexibly support the workload, integrated with leading silicon partners to provide choice and flexibility to customers, according to the company.  

By bringing AI to where enterprise data already lives, Nutanix helps customers reduce silos and accelerate ROI without costly rearchitecting or added networking and data layer complexity. 

Expanding on NCP capabilities, NAI and NKP are designed to enable organizations to securely run, manage, and govern AI, containerized applications and virtualized workloads through a consistent control plane.

These complement the core platform capabilities for near-bare metal performance for AI on virtualized infrastructure introduced with NCI 7.6. Together, they give enterprises a flexible alternative to infrastructure stacks that limit architectural choice, drive up costs, and require disruptive platform changes, Nutanix said.

For partners, the new Powered by Nutanix: Verified Services program aims to enable them to capitalize on major industry shifts and next-generation AI deployments by empowering them to build validated, high-margin services practices that span the full customer lifecycle.

“Enterprise AI should not require customers to rebuild the systems that already run their business,” said Thomas Cornely, executive vice president, product management, Nutanix. “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. This gives organizations a practical path to production without creating new silos or limiting future choice.” 

NAI delivers a unified and secure platform to deploy, manage, and scale AI workloads across hybrid environments. It enables enterprises to enforce governance over their agents and models, gain total visibility over token usage, and streamline AI development with a simple interface with built-in observability metrics and easy to use model-as-a-service while ensuring security, scalability, and integration with existing infrastructure. 

With NKP, organizations can simplify container operations across containers running on bare metal and VMs without piecing together complex, custom stacks.

NKP has attained formal CNCF certification to validate that NKP provides the standardized APIs and capabilities required to reliably operate enterprise AI workloads.

Demanding AI workloads require infrastructure that keeps data moving, maximizes GPU utilization, and reduces deployment risk.

Nutanix Unified Storage (NUS) recently achieved NVIDIA-Certified Storage validation at the enterprise level, providing a trusted, interoperable foundation that helps eliminate data bottlenecks. NUS establishes a low-latency, high-throughput data path directly to GPUs, maximizing GPU utilization and ensuring linear scalability for large-scale production AI workloads. 

Nutanix is also announcing the general availability of SP Central, a unified multitenant control plane that gives displaced VMware service provider partners greater choice in how they build and monetize services.

Service Provider Central gives providers one consistent foundation to build and monetize a broad portfolio of infrastructure, application, cloud-native, and AI services, with the flexibility on deployment location and licensing they need, the company said.

“As enterprises deploy agentic AI to automate complex workflows, they need infrastructure that delivers the performance, security and control required for production environments. Cisco is bringing that foundation. Together with Nutanix’s governed, dual-native cloud operating model, we’re giving organizations greater choice in how they deploy and operate AI while maintaining the control they need across their environment,” said Jeremy Foster, Cisco GM and SVP, Cisco Compute.

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

For more information about this news, visit www.nutanix.com.


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