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Nutanix Unveils Nutanix Agentic AI, Full Stack Software Solution to Unlock the Potential of Enterprise AI Factories

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(Moderate)
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AI

Nutanix (NASDAQ: NTNX) on March 16, 2026 introduced Nutanix Agentic AI, a full‑stack software solution to help enterprises build, secure, and operate large‑scale AI factories.

The stack integrates Nutanix AHV, Flow Virtual Networking, Nutanix Kubernetes Platform and Nutanix Enterprise AI 2.6, and is validated with NVIDIA, Cisco, Dell, Lenovo, Supermicro and other partners.

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Positive

  • Full‑stack software integrating hypervisor, networking, Kubernetes, and AI platform
  • Integration with NVIDIA AI Enterprise and NVIDIA Agent Toolkit
  • NAI 2.6 adds an AI Gateway plus Model Context Protocol and fine tuning
  • Support for Nemotron open models and NVIDIA NIM microservices
  • AHV topology‑aware GPU optimization and BlueField DPU network offload
  • Nutanix Unified Storage provides linearly scalable read/write performance for GPU clients

Negative

  • Several key capabilities are currently in early access, not universally GA
  • The release does not disclose pricing or token cost figures

Key Figures

NAI version: 2.6
1 metrics
NAI version 2.6 Latest Nutanix Enterprise AI (NAI) release mentioned in the article

Market Reality Check

Price: $39.29 Vol: Price up 2.95% with volum...
low vol
$39.29 Last Close
Volume Price up 2.95% with volume 3,313,161 vs 20-day average 6,035,786, indicating subdued trading interest pre-announcement. low
Technical Shares at $40.57, trading below the 200-day MA of $61.97 and 51.33% under the 52-week high of $83.36.

Peers on Argus

NTNX gained 2.95% while peers were mixed: IOT up 2.26%, NTAP up 1.87%, TOST up 1...
1 Up 1 Down

NTNX gained 2.95% while peers were mixed: IOT up 2.26%, NTAP up 1.87%, TOST up 1.55%, but FFIV down 1.93% and CHKP slightly lower, suggesting a stock-specific AI narrative rather than a broad sector move.

Previous AI Reports

5 past events · Latest: Mar 10 (Neutral)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Mar 10 AI conference lineup Neutral -2.8% .NEXT 2026 agenda focused on enterprise AI and hybrid multicloud.
Mar 03 AI survey results Positive +1.0% Enterprise Cloud Index showed strong AI-driven container adoption trends.
Jun 17 GenAI public sector study Positive +1.7% Survey highlighted broad public-sector GenAI uptake and infrastructure needs.
May 07 Enterprise AI release Positive +1.9% General availability of Nutanix Enterprise AI with NVIDIA integrations.
Apr 03 AI-focused .NEXT event Neutral -9.2% Announcement of .NEXT 2025 conference emphasizing AI and hybrid multicloud.
Pattern Detected

AI-themed announcements have produced mixed reactions, with product and study updates often positive while large event lineups have sometimes coincided with selloffs.

Recent Company History

Over the past year, Nutanix has repeatedly highlighted its AI strategy through conferences, surveys, and product updates. The .NEXT 2025 and 2026 event lineups focused on AI and hybrid multicloud but saw share price declines of -9.23% and -2.77%. In contrast, AI product enhancements and studies, such as the Enterprise AI release and multiple AI-related surveys, aligned with gains of 1.02%–1.87%. Today’s full-stack Agentic AI platform launch fits the pattern of deepening AI capabilities tied to NVIDIA and cloud-native architectures.

Historical Comparison

-1.5% avg move · Across recent AI-tagged news, NTNX moved an average of -1.48%. Today’s +2.95% gain on a full-stack A...
AI
-1.5%
Average Historical Move AI

Across recent AI-tagged news, NTNX moved an average of -1.48%. Today’s +2.95% gain on a full-stack Agentic AI launch is stronger than typical AI headlines.

AI news flow has progressed from conference agendas and adoption surveys to concrete Enterprise AI product releases and, now, a broader Agentic AI full-stack platform.

Market Pulse Summary

This announcement deepens Nutanix’s AI strategy with a full-stack Agentic AI platform integrated wit...
Analysis

This announcement deepens Nutanix’s AI strategy with a full-stack Agentic AI platform integrated with NVIDIA AI Enterprise and built on its Kubernetes and AHV foundations. It follows earlier AI-tagged events, including surveys and Enterprise AI updates, which have produced mixed share reactions. Key factors to monitor include adoption of Nutanix Agentic AI by large enterprises, traction of Models-as-a-Service and AI PaaS offerings, and how these capabilities support revenue growth relative to the current $40.57 share price and technical position below the 200-day MA.

Key Terms

agentic ai, kubernetes, models-as-a-service, paas, +3 more
7 terms
agentic ai technical
"Nutanix Agentic AI solution, a full software stack purpose built..."
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
kubernetes technical
"Nutanix Kubernetes Platform with a rich catalog of pre-built..."
Kubernetes is an open-source system that automates running and managing many pieces of software across groups of computers, like a conductor coordinating musicians so each piece plays at the right time and place. For investors, it matters because companies that use it can deploy updates faster, scale services up or down automatically, and cut infrastructure costs — factors that influence growth, reliability and operating margins.
models-as-a-service technical
"coupled with AI Platform Services (PaaS) and Models-as-a-Service (MaaS)..."
Models-as-a-service is a cloud-based offering where companies rent access to pre-built, trained machine-learning or statistical models through a subscription or software connection instead of building and maintaining them in-house. For investors, it matters because it can speed a company’s ability to use advanced analytics, create steady recurring revenue for providers, and concentrate operational or vendor risks—similar to renting a specialized tool when you need it rather than buying and storing it yourself.
paas technical
"AI Platform Services (PaaS) and Models-as-a-Service (MaaS)..."
Platform as a Service (PaaS) is a cloud offering that provides developers with ready-made tools, computing power, and hosting so they can build, test, and run software without buying or managing the underlying servers and software stack. For investors, PaaS matters because it can drive predictable subscription revenue, lower customer costs of adoption, and scale rapidly — think of renting a fully equipped kitchen that lets chefs open more restaurants faster without building each kitchen from scratch.
hypervisor technical
"Nutanix AHV hypervisor has been enhanced to automatically optimize..."
A hypervisor is software that creates and runs multiple virtual computers on a single physical server, like an apartment building that lets many households share one foundation while keeping each unit separate. Investors care because hypervisors improve hardware efficiency, lower operating costs, enable cloud services and scalable product offerings, and can be a source of licensing or support revenue—factors that affect profitability and competitive position.
vector databases technical
"catalog of pre-built open source AI developer tools including Notebooks, Vector Databases, MLOps..."
A vector database is a specialized storage system that keeps information as compact numerical patterns so computers can quickly find things that are similar in meaning, style, or context rather than by exact words. For investors, that matters because it powers faster, more accurate searches and AI analysis of large document sets—helping spot trends, risks, or opportunities in news, filings and other unstructured data much like a smart index or trained search engine.
mlops technical
"pre-built open source AI developer tools including Notebooks, Vector Databases, MLOps workflow engines..."
MLOps is the set of practices, tools and routines that turn experimental machine-learning models into reliable, repeatable systems used in everyday business operations — think of it as the maintenance and production process that keeps a high-tech engine running smoothly. For investors, MLOps matters because it determines whether model-driven products actually deliver consistent results, control costs, scale safely and meet regulatory standards, all of which affect a company’s revenue, risk profile and valuation.

AI-generated analysis. Not financial advice.

  • Designed to deliver performance, compliance, and security for Agentic AI applications and help minimize aggregate token costs
  • Empowers enterprise infrastructure and platform teams to simply build, scale, and operate AI factories
  • Enables developer teams with a rich set of AI PaaS services integrated with NVIDIA AI Enterprise to accelerate deployment of Agentic AI workloads

SAN JOSE, Calif., March 16, 2026 (GLOBE NEWSWIRE) -- NVIDIA GTC -- Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, today announced the Nutanix Agentic AI solution, a full software stack purpose built to help customers accelerate adoption of Agentic AI for business transformation.

With the shift to Agentic AI, enterprise adoption has hit a tipping point where the barrier to success is no longer the model or building individual agents, but the complexity of managing the infrastructure required to securely run thousands of agents at scale. Infrastructure and platform teams need better solutions to build and operate AI factories, and provide shared access to their resources while maximizing performance, security, and compliance with sovereignty requirements. In addition, data scientists and Agentic AI developers expect easy access to tools and services to run and fine-tune models, build agents, and securely connect them to enterprise data.

“Contrary to AI infrastructure for model training that was optimized to run ‘one big job,’ production Agentic AI infrastructure needs to handle scale and high rates of change for thousands of AI services, agents, and concurrent users and developers. Nutanix Agentic AI extends our AHV hypervisor, Flow Virtual Networking, Nutanix Kubernetes Platform, and Nutanix Enterprise AI to deliver a cloud operating model to enterprise AI factories, enabling infrastructure and platform teams to simply build, operate, and govern AI factories while providing Agentic AI developers with the performance and rich set of models and AI platform services they need,” said Thomas Cornely, Executive Vice President of Product Management at Nutanix.

The solution integrates with NVIDIA AI Enterprise at the Agent Builder layer and orchestrates the NVIDIA-certified ecosystem of AI factories for supported configurations. It enables customers with dynamic, multiuser AI environments to build, run, and protect agentic AI applications with a full suite of infrastructure orchestration and security software coupled with AI Platform Services (PaaS) and Models-as-a-Service (MaaS) for data scientists and Agentic AI developers. Nutanix and NVIDIA are also working together to build the foundation for autonomous agents in the enterprise through integration with the NVIDIA Agent Toolkit including the NVIDIA OpenShell open source runtime.

Optimizing Performance, Security, and Cost of AI Apps and Factories

The Nutanix Agentic AI solution reduces complexity, delivers optimized performance and security, and is designed to enable lower, predictable token costs by providing the following:

  1. Agentic AI Services and a Kubernetes Platform: This AI PaaS and Kubernetes native software layer consists of:

    1. An Advanced AI Gateway and Model-as-a-Service: The latest release of Nutanix Enterprise AI (NAI), version 2.6, now includes an AI Gateway service for unified policy control over cloud-hosted and private LLMs. New support for the Model Context Protocol (MCP) server and Fine Tuning extends its existing robust MaaS capabilities to enable agents to securely connect to enterprise tools and data sources. NAI also now includes support for the NVIDIA Nemotron family of open-source AI models, datasets, and training tools designed to help developers build agentic AI systems that can reason, securely access tools, and complete complex multistep tasks independently.

    2. An Open Kubernetes Platform with a Rich AI Catalog: Nutanix simplifies the path to Agentic AI by extending its CNCF-compliant Nutanix Kubernetes Platform with a rich catalog of pre-built open source AI developer tools including Notebooks, Vector Databases, MLOps workflow engines, and Agentic frameworks. Because it is fully integrated with NVIDIA AI Enterprise software, developers can instantly deploy NVIDIA NIM microservices, including Nemotron, to accelerate the development of high-performance AI applications in production.

  2. Infrastructure Optimization and Security: In the early access version of NVIDIA topology aware AHV, the Nutanix AHV hypervisor has been enhanced to automatically optimize allocation of physical resources to virtual machines on GPU dense servers and help maximize performance. The Nutanix Flow Virtual Networking solution has been enhanced to offload the network dataplane to NVIDIA BlueField, delivering high-performance networking while reducing host CPU and memory consumption. These enhanced capabilities bring all the benefits of virtual machines for workload and tenant isolation, day 2 operations, and infrastructure resilience to Agentic AI workloads with maximum performance, security, and resource utilization to help achieve lower cost per token.

  3. Foundational Data Services for AI: Agentic AI applications require foundational Data Services. As a solution built on the NVIDIA AI Data Platform reference design, Nutanix Unified Storage delivers linearly scalable read/write performance for thousands of GPU clients. By providing a high-capacity tier for KV Cache offloading and support for S3 over RDMA and NFS over RDMA, Nutanix provides a scalable, low-latency data fabric that maximizes GPU efficiency across all enterprise AI workloads.

Industry and Partner Perspectives

The Nutanix Agentic AI solution operationalizes and accelerates adoption of Agentic AI with NVIDIA-certified AI factories. Customers can deploy AI factories on hardware from Cisco, Dell, and Supermicro, supported with joint validation by Nutanix and NVIDIA.

Analyst Commentary

“Nutanix’s Agentic AI stack removes much of the infrastructure friction that can slow down enterprise AI projects. By bringing the layers together—from Models-as-a-Service at the top, to an AI platform built on a standardized Kubernetes distribution, down to GPU-aware hypervisors and DPU-accelerated networking—organizations get a more coherent AI stack, enabling AI factories that deliver strong performance and security while driving down the cost per token.”

Steve McDowell, Chief Analyst, NAND Research

Partner Commentary

“Agentic AI requires high-performance infrastructure that can securely manage thousands of agents at enterprise scale. Nutanix’s integration of NVIDIA Agent Toolkit and open Nemotron models gives enterprises a foundation for building and operating efficient AI factories — and we’re working together to scale autonomous AI in the enterprise as AI agents continue to evolve.”

Justin Boitano Vice President, Enterprise AI Platforms, NVIDIA

“The enterprise AI landscape is moving from experimentation to large-scale production, requiring infrastructure that supports the full complexity of AI factories from training to inference to data management. Dell’s leading AI infrastructure powers Nutanix's promise to simplify AI operations while maximizing performance and security. Together, we’re helping enterprises focus on building AI applications that deliver real business value, not on managing operational complexity.”

Travis Vigil, Senior Vice President, ISG Product Management, Dell Technologies

“The enterprise AI conversation isn’t just about better models. It’s about operational speed and trust – how quickly and securely teams can move from experimentation to production at scale. By integrating Cisco infrastructure with this Nutanix solution, we’re removing the boundary between complex hardware orchestration and rapid application deployment, supporting the optimization of every asset in the ecosystem through topology-aware intelligence and security. Together, we’re delivering a turnkey, frictionless environment where organizations can deploy their AI factories with the resilience, security, and lifecycle consistency their enterprise environments demand.”

Jeremy Foster, SVP and General Manager, Cisco Compute

“Democratizing AI for all means making enterprise AI simple to deploy and scalable from edge and core to full AI factory environments. Lenovo's Hybrid AI portfolio enables customers to move AI from experimentation to production with speed and confidence. Together with Nutanix and NVIDIA, we jointly engineered Lenovo ThinkAgile HX solution for AI to provide a unified, full-stack foundation that integrates compute, GPUs, networking, and data across hybrid environments. By reducing operational complexity and streamlining deployment, we enable organizations to build and scale AI factories more efficiently, accelerating time to value while optimizing performance, cost, and token efficiency.”

Scott Patti, VP Infrastructure Solutions Group, Lenovo

“We are pleased to collaborate with Nutanix to help customers unlock the full potential of AI by simplifying operations, fortifying security, and elevating the user experience. By integrating the Nutanix full stack AI solution with TCS’s deep expertise in AI-driven transformation, we are helping enterprises to accelerate the adoption of Agentic AI for sustained competitive advantage. Our deep talent pool and partner ecosystem have been key to setting new benchmarks in AI-led innovation and client success.”

Rajnikant Gupta, Global Head - Partner Ecosystems and Alliances, TCS

“Collaborating with Nutanix, we can deliver the most compute-dense and energy-efficient AI factory infrastructure. Our liquid-cooled Data Center Building Block Solutions with Nutanix’s intelligent software layer running on Supermicro’s rack-scale systems can accelerate access for enterprises to deploy some of the fastest time-to-online and sustainable token operations in the industry.”

Cenly Chen, Chief Growth Officer, Supermicro

“Integrating Everpure’s industry-leading storage and data management platform with Nutanix’s NVIDIA-optimized AHV foundation creates a unified AI fabric that solves for the data gravity challenge of the agentic era. By eliminating bottlenecks across the AI stack, we are ensuring that enterprise infrastructure teams no longer have to choose between massive scale and operational simplicity. Together, we provide the high-performance, low-latency foundation required to power the most demanding RAG pipelines and high-concurrency inference workloads within an AI Factory ecosystem.”

Kaycee Lai, Vice President, AI, Everpure

“Accenture helps clients modernize their platform strategies to build an architecture that can reinvent operations and enable agentic AI at scale. The capabilities that Nutanix will offer in their Agentic AI solution can help organizations build an agentic architecture to create an integrated AI interface across data and platforms and reimagine how processes are structured for more unified and efficient operations.”

Dave Malik, Global Infrastructure Engineering AI & High-Performance Computing Lead, Accenture

“Our customers are looking for ways to simplify the management of thousands of concurrent AI agents without skyrocketing costs and overhead. The Nutanix Agentic AI solution - running on Fujitsu’s NVIDIA-certified infrastructure and in combination with Fujitsu technology for sovereignty and mission-critical environments - delivers the performance and resource optimization required to turn the vision of an AI-powered enterprise into a reality. We are proud to partner with Nutanix to deliver these next-generation AI factory capabilities.”

Kazushi Koga, Corporate Executive Officer, SEVP, Head of Platform Business Group, Fujitsu Limited

The Nutanix Agentic AI solution comprises products that are either already generally available or currently in early access and are expected to be available soon. More information about the solution can be seen here. More information about AI at Nutanix can be seen here.

About Nutanix

Nutanix is a hybrid multicloud computing leader, offering organizations a unified software platform for running applications, deploying enterprise AI workloads and managing data anywhere. With Nutanix, organizations can simplify operations for traditional and modern applications, freeing them to focus on business goals. Trusted by more than 30,000 customers worldwide, Nutanix helps empower organizations to transform digitally and power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at www.nutanix.com or follow us on social media.

© 2026 Nutanix, Inc. All rights reserved. Nutanix, the Nutanix logo, and all Nutanix product and service names mentioned herein are registered trademarks or unregistered trademarks of Nutanix, Inc. (“Nutanix”) in the United States and other countries. Brand names or marks mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s). Kubernetes is a registered trademark of The Linux Foundation in the United States and other countries. Other brand names or marks mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s). This press release is for informational purposes only and nothing herein constitutes a warranty or other binding commitment by Nutanix. Customer statements on results, benefits, savings or other outcomes depend on a variety of factors including their use case, individual requirements, and operating environments, and should not be construed to be a promise or obligation to deliver specific outcomes or as guarantees of future performance.

Forward-Looking Statements

This press release contains express and implied forward‑looking statements, including, but not limited to, statements regarding Nutanix Agentic AI; the expected capabilities, benefits, performance, features, functionality, and integration of Nutanix products and solutions; anticipated availability timelines; and expectations regarding customer adoption and use cases. These forward‑looking statements are not historical facts and are based on Nutanix’s current expectations, estimates, assumptions, opinions, and beliefs. Actual results may differ materially from those expressed or implied by these forward‑looking statements as a result of various risks and uncertainties, including, but not limited to, risks related to product development, integration, deployment, the ability to deliver products and features on anticipated timelines or at all, market acceptance and customer adoption, dependencies on third‑party technologies and platforms, competitive pressures, and changes in technology; and other risks and uncertainties described in Nutanix’s filings with the Securities and Exchange Commission, including its Annual Report on Form 10‑K for the fiscal year ended July 31, 2025 and subsequent Quarterly Reports on Form 10‑Q and other filings. These forward‑looking statements speak only as of the date of this press release, and Nutanix undertakes no obligation to update or revise any forward‑looking statements, whether as a result of new information, future events, or otherwise, except as required by law. Many of the products and features described herein, including Nutanix Agentic AI and its related features and functionalities, remain in various stages of development and will be offered on a when‑and‑if‑available basis. The development, release, and timing of any such products, features or functionalities are subject to change. Nutanix will not have any liability arising from reliance on this press release for any failure to deliver, or delay in the delivery of, any such products, features or functionalities. Any future product or product feature information is intended to outline general product directions, and is not a commitment, promise or legal obligation for Nutanix to deliver any functionality. This information should not be used when making a purchasing decision.



Media Contact:
Marty Filipowski
pr@nutanix.com

FAQ

What is Nutanix Agentic AI (NTNX) announced March 16, 2026?

Nutanix Agentic AI is a full software stack to build and operate enterprise AI factories. According to the company, it combines AHV, Flow networking, Nutanix Kubernetes Platform and Nutanix Enterprise AI 2.6 to support large‑scale agent deployments and developer PaaS services.

How does Nutanix Agentic AI (NTNX) integrate with NVIDIA technologies?

It integrates NVIDIA AI Enterprise and the NVIDIA Agent Toolkit at the Agent Builder layer. According to the company, this enables NVIDIA‑certified AI factories, Nemotron model support, and NVIDIA NIM microservices for accelerated agentic AI deployment.

Which Nutanix components are enhanced for Agentic AI performance and security?

AHV, Flow Virtual Networking, Kubernetes Platform, and Unified Storage are enhanced for Agentic AI. According to the company, AHV is topology aware, Flow offloads to BlueField DPUs, and storage offers scalable read/write for thousands of GPU clients.

What developer services does Nutanix Agentic AI (NTNX) provide?

The stack offers AI PaaS services, Model‑as‑a‑Service, Notebooks, vector DBs and MLOps workflows. According to the company, NAI 2.6 adds an AI Gateway, MCP server support, and fine tuning to connect agents securely to enterprise data.

Which hardware partners support Nutanix Agentic AI (NTNX) deployments?

Customers can deploy AI factories on validated hardware from Cisco, Dell, Supermicro, Lenovo and others. According to the company, these configurations are jointly validated with NVIDIA for supported AI factory deployments.

Are all Nutanix Agentic AI features generally available for NTNX customers now?

Not all features are GA; some components are in early access and expected to be available soon. According to the company, the solution comprises products that are either generally available or currently in early access phases.
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