AI agent disclosures in SEC filings, deployment confirmed
As of 2026-09-18, Nutanix, Inc. (NTNX) disclosed AI-agent language in 9 SEC filings since 2025-05-28, including 3 excerpts describing its own deployment of AI agents (source: Agentic 10-K, from SEC EDGAR).
IT & security ops, Software development
9 filings since 2025-01-01. All EDGAR filings (opens in a new tab)
Stage and function are keyword-rule labels, not the company’s words.
Sentences copied from the filings, whitespace normalised.
“Nutanix Announces the Model Context Protocol (MCP) Server for Nutanix Cloud Platform (NCP): Nutanix announced the launch of its MCP server for NCP, bringing secure, natural-language, agentic AI automation to hybrid cloud environments without sacrificing control.”
“Nutanix Enables Agentic AI Anywhere with Latest Release of Nutanix Enterprise AI: Nutanix announces the general availability of the latest version of the Nutanix Enterprise AI (NAI) solution, adding deeper integration with NVIDIA AI Enterprise, including NVIDIA NIM microservices and the NVIDIA NeMo framework, to speed the deployment of Agentic AI Applications in the enterprise.”
“Some of our competitors may also expand their product and service offerings, acquire or invest in competing businesses or emerging technologies, offer differentiated pricing terms, bundle their products with other products and capabilities (including AI, machine learning, generative AI, and emerging agentic AI capabilities), provide closed technology platforms, partner with other companies to develop joint…”
Nutanix lists risks and opportunities associated with agentic AI.
“our expectations regarding opportunities and risks associated with artificial intelligence ("AI"), including generative AI, agentic AI, AI-related products, services, ecosystem initiatives and investments;”
Nutanix describes itself as a hybrid cloud and AI platform company supporting agentic AI.
“Nutanix, Inc. ("we," "us," "our," or "Nutanix") is a hybrid cloud and AI platform company, offering organizations a unified infrastructure software platform to run applications, data, and AI anywhere. Our vision is to simplify the deployment and operation of hybrid computing infrastructure and AI factories to support the increasingly distributed landscape of apps and data, including agentic AI, while freeing organizations to modernize their infrastructure and focus on business goals. Our mission is to delight customers with an open, secure platform with rich data services that increases their ability to take advantage of technologies such as cloud native and AI, optimizes how they run their organizations today, and accelerates innovation, efficiency, and growth.”
Nutanix Cloud Platform supports agentic AI workloads across hybrid environments.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid cloud infrastructure. It provides a consistent cloud operating model with a single platform for running and managing applications, agentic AI workloads, and data in core data centers, at the edge, and in public clouds. We aim to provide customers with flexibility and choice across server platforms, storage options, virtualized and cloud-native environments, public clouds, and deployment models. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements. These workloads include traditional business-critical general-purpose applications, modern applications (including containerized applications running on Kubernetes), data platforms (including SQL, NoSQL and vector databases, as well as business intelligence applications), and enterprise AI workloads (including machine learning, generative AI, and agentic AI applications).”
Nutanix R&D efforts aim to provide an optimized platform for customers to run agentic AI workloads.
“We first pioneered hyperconverged infrastructure ("HCI") by combining compute, storage and networking through a software-defined architecture. We subsequently developed Nutanix AHV, our native enterprise hypervisor. Building on this foundation, the Nutanix Cloud Platform has evolved into a unified infrastructure platform. The Nutanix Cloud Platform supports a broader range of architectures, applications and deployment models, across public clouds (including AWS, Azure, and Google Cloud), datacenters, and edge. This expansion includes support for qualified external storage systems, modern applications through our Kubernetes platform, and enterprise agentic AI workloads through our AI infrastructure and management offerings. Our research and development efforts on the agentic AI front aim to provide customers with an optimized full stack platform to run, control, and govern AI workloads.”
Nutanix Unified Storage provides low-latency access for real-time AI pipelines and agentic AI workflows.
“Nutanix Unified Storage (NUS) is a software-defined platform that consolidates file, object, and block storage into one intelligent data fabric. It features a compute-adjacent architecture that provides low-latency access to data for powering real-time AI pipelines and agentic AI workflows. NUS includes the following underlying features and services:”
Nutanix faces competition in markets including platforms supporting agentic AI workloads.
“We operate in the intensely competitive cloud infrastructure, platform services and enterprise AI markets and compete with a broad range of companies that sell software and hardware to build and operate private clouds, integrated systems, standalone storage and servers, and platforms supporting modern and agentic AI workloads, as well as cloud services providers and managed service providers. These markets are characterized by constant change, rapid innovation, and evolving licensing and consumption models. We face competition from a broad range of providers, including, among others:”
Nutanix launched MCP server for secure agentic AI automation on its cloud platform.
“Nutanix Announces the Model Context Protocol (MCP) Server for Nutanix Cloud Platform (NCP): Nutanix announced the launch of its MCP server for NCP, bringing secure, natural-language, agentic AI automation to hybrid cloud environments without sacrificing control.”
Nutanix announced general availability of Nutanix Enterprise AI 2.8 for agentic AI.
“Nutanix Gives Enterprises the Freedom to Run Production Agentic AI Their Way: Nutanix announced the general availability of Nutanix Enterprise AI (NAI) 2.8, and the upcoming general availability of Nutanix Kubernetes Platform (NKP) 2.19, along with new incentives, programs, and resources designed to help partners accelerate growth on emerging AI opportunities.”
Nutanix Cloud Platform supports enterprise AI workloads including agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and enterprise AI workloads, and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), and end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
Nutanix Cloud Platform supports enterprise AI workloads including agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and enterprise AI workloads, and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
Nutanix announced Nutanix Agentic AI full stack software solution for enterprise AI factories.
“Nutanix Unveils Nutanix Agentic AI, Full Stack Software Solution to Unlock the Potential of Enterprise AI Factories: At NVIDIA GTC 2026, Nutanix announced the Nutanix Agentic AI solution, a full software stack purpose built to help customers accelerate adoption of Agentic AI for business transformation.”
Nutanix plans to extend its Nutanix Agentic AI for neoclouds in second half of 2026.
“Nutanix to Extend Nutanix Agentic AI, Empowering Neoclouds to Deliver Higher Value AI Services: Nutanix announced it will introduce new capabilities in the second half of 2026 for its Nutanix Agentic AI solution that are designed to help a new generation of AI cloud providers, known as neoclouds, to deliver secure, scalable AI services to AI engineers and agentic AI developers.”
Nutanix platform supports enterprise AI workloads including generative and agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and enterprise AI workloads, and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), and end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
Nutanix platform supports enterprise AI workloads including generative and agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and enterprise AI workloads, and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
AMD and Nutanix announce multi-year partnership for agentic AI platform on AMD infrastructure.
“AMD and Nutanix sign multi-year agreement to accelerate adoption of Nutanix-powered agentic AI platform on AMD accelerated compute infrastructure for enterprise AI and service providers”
AMD and Nutanix partner to develop open full-stack AI infrastructure for agentic AI applications.
“SANTA CLARA, Calif. and SAN JOSE, Calif., Feb. 25, 2026 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) and Nutanix (NASDAQ: NTNX) today announced a multi-year strategic partnership to jointly develop an open, full-stack AI infrastructure platform designed to power agentic AI applications, everywhere. This agreement aligns to both companies’ commitment to an open ecosystem for AI, providing customers with choice and easy-to-deploy, production-ready, high-performance, and efficient solutions that are optimized for agentic AI, at the edge, inside enterprises, and across the cloud.”
Partnership optimizes Nutanix platforms on AMD CPUs, GPUs, and ROCm for agentic AI platforms.
“The partnership aligns silicon innovation, open runtime software and enterprise cloud orchestration technologies for AI to deliver scalable, production-ready agentic AI platforms across data center, hybrid and edge environments. By optimizing the Nutanix Cloud and Nutanix Kubernetes Platforms on AMD EPYC™ CPUs and AMD Instinct™ GPUs, and integrating the AMD ROCm™ software ecosystem and the AMD Enterprise AI platform into Nutanix AI full-stack solutions, the companies are developing an open solution for agentic AI platforms using high-performance infrastructure and supported by a broad set of OEM partners.”
AMD invests $150M in Nutanix and funds up to $100M for joint agentic AI initiatives.
“As part of the agreement, AMD will make a strategic investment of $150 million in Nutanix common stock at a purchase price of $36.26 per share, and fund up to $100 million for Nutanix to support joint engineering initiatives and go-to-market collaboration to accelerate the adoption of AMD and the Nutanix-powered agentic AI platform, everywhere. The equity investment is expected to close in the second quarter of 2026, subject to regulatory approvals and customary closing conditions.”
Nutanix executive states partnership delivers platforms optimized for agentic applications.
““Our partnership with AMD reflects a shared vision for scalable, production-ready AI infrastructure,” said Tarkan Maner, President and Chief Commercial Officer, Nutanix. “Together, we are delivering full-stack, integrated platforms optimized for inference and agentic applications across hybrid environments for enterprises and service providers.””
First jointly-developed agentic AI platform expected in late 2026.
“The first jointly-developed agentic AI platform from this partnership is expected to come to market beginning in late 2026, underscoring the companies’ commitment to rapid execution and delivery.”
Nutanix Cloud Platform supports enterprise AI workloads including machine learning, generative AI, and agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), and end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
Nutanix Cloud Platform supports enterprise AI workloads including machine learning, generative AI, and agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
Nutanix Cloud Platform supports enterprise AI workloads including machine learning, generative AI, and agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
Competitors may bundle products with AI, machine learning, generative AI, and agentic AI capabilities.
“Competition generally varies by workload and customer segment, and customers often evaluate multiple alternatives simultaneously. Several of our competitors are also our partners, resellers, or OEMs in certain offerings. As the market in which we compete continues to develop, we expect it will continue to attract new companies as well as existing larger vendors. Some of our competitors may also expand their product and service offerings, acquire or invest in competing businesses or emerging technologies, offer differentiated pricing terms, bundle their products with other products and capabilities (including AI, machine learning, generative AI, and emerging agentic AI capabilities), provide closed technology platforms, partner with other companies to develop joint solutions, or otherwise leverage their scale, brand recognition or ecosystem relationships to gain a competitive advantage. Furthermore, as we expand our product offerings, we may expand into new markets, and we may encounter additional competitors in such markets. Additionally, as companies increasingly offer competing solutions, they may be less willing to cooperate with us as an OEM or otherwise.”
Competitors may bundle products with artificial intelligence, machine learning, generative AI, and agentic AI capabilities.
“Competition generally varies by workload and customer segment, and customers often evaluate multiple alternatives simultaneously. Several of our competitors are also our partners, resellers, or OEMs in certain offerings. As the market in which we compete continues to develop, we expect it will continue to attract new companies as well as existing larger vendors. Some of our competitors may also expand their product and service offerings, acquire or invest in competing businesses or emerging technologies, offer lower pricing or aggressive discounting, bundle their products with other products and capabilities (including artificial intelligence, machine learning, generative AI, and emerging agentic AI capabilities), provide closed technology platforms, partner with other companies to develop joint solutions, or otherwise leverage their scale, brand recognition or ecosystem relationships to gain a competitive advantage. Furthermore, as we expand our product offerings, we may expand into new markets, and we may encounter additional competitors in such markets. Additionally, as companies increasingly offer competing solutions, they may be less willing to cooperate with us as an OEM or otherwise.”
Market acceptance of products based on generative and agentic AI could render existing solutions obsolete.
“We operate in a dynamic environment characterized by rapidly changing technologies, industry standards and technological obsolescence. We must continually create valuable software solutions and integrate these solutions across hardware platforms. To compete successfully, we must design, develop, market, and sell new or enhanced solutions that provide increasingly higher levels of performance, capacity, scalability, security, interoperability, application mobility, and reliability and meet the cost expectations of our end customers. The introduction of new products by our competitors, the market acceptance of products based on new or alternative technologies, including generative and agentic AI capabilities, or the emergence of new industry standards could render our existing or future solutions obsolete or less attractive to end customers. Any failure to anticipate or develop new or enhanced solutions or technologies in a timely or cost-effective manner in response to technological shifts, including those driven by AI, could result in decreased revenue and harm to our business and prospects. Any new feature or application that we develop or acquire may not be introduced in a timely or cost-effective manner and may not achieve broad market acceptance and investments in research and development or efforts to optimize our engineering cost structure may not be successful. In particular, if we fail to timely release new products, technology or services that we previously announced”
Nutanix Cloud Platform supports enterprise AI workloads including machine learning, generative AI, and agentic AI.
“The Nutanix Cloud Platform is designed to enable organizations to build hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and managing data in core data centers, at the edge, and in public clouds, while supporting customer choice across server platforms, storage options, public and managed clouds, and container and virtualization platforms. The Nutanix Cloud Platform supports a wide variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms (including SQL, NoSQL, and vector databases and business intelligence applications), enterprise AI workloads (including machine learning, generative AI, and agentic AI), general-purpose workloads (including system infrastructure, networking, and security), and end-user computing and virtual desktop infrastructure services, and cloud native applications (including modern, containerized applications).”
Nutanix released Nutanix Enterprise AI with NVIDIA integration for agentic AI applications.
“Nutanix Enables Agentic AI Anywhere with Latest Release of Nutanix Enterprise AI: Nutanix announces the general availability of the latest version of the Nutanix Enterprise AI (NAI) solution, adding deeper integration with NVIDIA AI Enterprise, including NVIDIA NIM microservices and the NVIDIA NeMo framework, to speed the deployment of Agentic AI Applications in the enterprise.”