Nutanix is increasing its concentrate on agentic AI, with bulletins together with a full-stack agentic AI providing, partnerships with AMD and Nvidia, licensed integration with MongoDB, expanded collaboration with Cisco, and help for NetApp ONTAP at its .NEXT 2026 convention in Chicago.
“We’re quickly shifting from an period of prompting, the place you may all sit there and immediate your favorite bot, or your favorite mannequin, to the period of delegating and enabling autonomy with AI brokers,” Nutanix CEO Rajiv Ramaswami stated in his keynote.
In line with him, the aggressive edge is not simply in regards to the knowledge that organisations have, however the autonomy they’ll allow with that knowledge.
Agentic period
First introduced throughout Nvidia GTC 2026, Nutanix’s Agentic AI providing is meant to help enterprises in constructing and working AI functions on the Nutanix Cloud Platform (NCP). At the moment in early entry, the providing features a virtualisation basis for AI infrastructure and integrates compute, storage, networking, and Kubernetes companies. It’s anticipated to be accessible within the second half of 2026.
“As the info is available in, we additionally remodel it into intelligence. We course of and extract and vectorise that knowledge in order that your AI functions can eat it. All of those are validated with Nvidia,” Ramaswami stated.
Moreover, the corporate launched Nutanix Service Supplier Central, additionally in early entry. It provides multi-tenancy capabilities that permit service supplier companions to ship hosted infrastructure and AI companies on NCP, whereas sustaining logical isolation between tenants sharing the identical infrastructure.
“For instance, even when you enter worth, you will have your HR brokers to be saved separated out of your finance brokers. In the event you’re a service supplier, each tenant or buyer must be remoted from the opposite. We have now now included a full suite of multi-tenancy capabilities, whereas permitting you to entry and share frequent infrastructure with the safety, compliance, and guardrails required to help this,” he stated.
Internally, Ramaswami stated AI has had the most important affect on their engineering.
“Throughout the software program improvement lifecycle, all the things from defining product necessities to design, to coding, to testing — AI is having a major affect. Our builders are all enabled with AI instruments today, and the overwhelming majority of them are very literate now and are utilizing these instruments. We predict we will goal one thing like a 20% productiveness enchancment per developer. What meaning successfully is we will get 20% extra function content material out on a launch foundation utilizing the same-sized group, so now it’s as much as us to resolve what we do with that productiveness achieve,” he informed journalists in a separate briefing.
AMD funding
Earlier this 12 months, AMD and Nutanix introduced a multi-year settlement to collectively develop an open, full-stack AI infrastructure platform for agentic AI functions. The partnership brings collectively silicon, runtime software program, and enterprise cloud orchestration applied sciences to help deployment throughout knowledge centres, hybrid, and edge environments. Each corporations are growing an open strategy for agentic AI platforms utilizing high-performance infrastructure, with help from OEM companions.
As a part of the settlement, AMD will make investments US$150 million in Nutanix frequent inventory at a purchase order worth of US$36.26 per share, and can fund as much as US$100 million to help joint engineering initiatives and go-to-market collaboration associated to the platform.
Requested in regards to the technique behind working with each Nvidia and AMD, Ramaswami stated neither firm sells on to enterprises, positioning Nutanix to work with each.
“We’ve been working with Nvidia for a few years on the GPU entrance, and also you realise that they are surely the de facto customary. In order we take a look at inferencing and agentic functions, all the things we do is to take their GPUs, virtualise them, run that very effectively with our stack, and assist our clients run these workloads on prime. That has been the character of our collaboration with them,” he stated.
With the agentic AI increase, Ramaswami stated Nvidia sees Nutanix as a associate for reaching enterprise clients.
“They don’t have an enterprise gross sales drive. They don’t have an enterprise platform. They’re promoting largely immediately into the massive public clouds, the native AI corporations, and the neocloud corporations like CoreWeave. That’s the majority of their market at the moment, however they see this massive alternative,” he stated.
For AMD, which is the second-largest participant within the GPU market, he stated the partnership allows supply of an entire agentic AI providing for enterprise use.
“Once we go on the market and promote our answer, and when the shoppers resolve to make use of AMD GPUs, that’s how they profit,” Ramaswami stated.
Business partnerships
Set for business launch by the tip of the 12 months, NetApp will mix its ONTAP platform with the hybrid multicloud operations of NCP to help storage administration and containerised workloads.
Jay Tuseth, VP and Normal Supervisor, APJ at Nutanix, stated the NetApp announcement displays demand from APJ clients for this integration.
“NetApp has a big base in APJ, and there’s demand from clients for the NCP together with NetApp ONTAP. That is set to launch later this 12 months,” he informed Frontier Enterprise.
The corporate additionally expanded its collaboration with Cisco, integrating Nutanix choices with Cisco Unified Edge, Cisco Safe AI Manufacturing facility, and Cisco AI Pod. FlexPod converged infrastructure with Cisco compute and networking, NetApp storage, and Nutanix software program is deliberate for availability later this 12 months.
Nutanix additionally introduced a licensed integration between the Nutanix Database Service platform and MongoDB Ops Supervisor, combining infrastructure automation with database administration to help MongoDB operations.
Naked-metal availability
Set for basic availability within the second half of 2026, Nutanix’s NKP Steel extends the Nutanix working mannequin and Nutanix Kubernetes Platform (NKP) to help Kubernetes deployments immediately on bare-metal infrastructure.
“That is about enabling a constant expertise in the way you eat storage on naked metallic versus on public cloud and conventional VM-based architectures. It’s additionally about unified lifecycle administration throughout these environments,” Ramaswami stated in his keynote.
APAC focus
In Asia-Pacific, Nutanix continues to see clients shifting away from VMware following its acquisition by Broadcom. Globally, the corporate added round 1,000 new clients within the final quarter. In an interview with Michael Alp, Nutanix’s Managing Director for ANZ, he stated the corporate presently has about 20 clients within the technique of migrating from VMware.
“We’re choosing up lots of clients which have used VMware for digital machines and open supply or Pink Hat for containers, and are actually seeking to consolidate. Many functions run throughout each digital machines and containers, relatively than one or the opposite. So lots of the shoppers we’re choosing up are additionally from present container deployments,” Alp stated.
He added that the deliberate migration to VCF 9.0 by October 2027 is a key issue driving VMware clients to reassess their IT budgets.
“There are lots of implications in shifting to VCF 9.0. In the event you’ve been a standard ESX or VVF buyer, you’ve acquired lots of work to do to get there. It’s not an in-place improve however a complete redesign of your infrastructure, in order that time-frame is driving many shoppers to assessment their choices,” he defined.
In the meantime, Broadcom’s licensing adjustments have additionally affected service suppliers. Throughout APAC, many MSPs have been faraway from the VMware program following the acquisition.
“For these organisations, and the shoppers they service, they’re on the lookout for a brand new house, and Nutanix is one possibility for them. We’re seeing a rise within the variety of service suppliers working with us. A few of that’s from the adjustments Broadcom has made, and a few from adjustments in our product capabilities,” Tuseth stated.
Powering progress
In APJ, Tuseth stated the quickest adoption of any Nutanix providing up to now is NKP, which has contributed to elevated AI utility improvement.
“The biggest deal that we did final quarter in Asia was for NKP, and we’re seeing it throughout industries with quite a lot of use instances. That is for precise improvement, which isn’t shocking, given the expansion in builders in Asia. Alternatively, packaged functions are being replatformed or refactored for microservices. So we’re seeing progress and adoption in containers and in Kubernetes particularly, and curiosity in agentic AI as organisations attempt to transfer AI from pilot to manufacturing,” he stated.
5 years in the past, Nutanix was a hyperconverged infrastructure firm. Immediately, it operates as a hybrid cloud supplier working with AWS, Azure, and Google. The purpose, Ramaswami stated, is to help nearly all of core storage functions.
“Now we’re steadily moving into offering platform companies, however we aren’t there but. On no account would I say we’re specializing in an app developer position, like an Atlassian or one thing like that. That’s not us at the moment. We’re serving the middleware, and we’re getting nearer to that,” he stated.
“By way of automation, what we wish to do is present the underlying platform that may assist organisations operationalise their use instances and achieve this in a easy manner. That’s actually what we do,” Ramaswami stated.
