Nutanix launches Agentic AI platform with Nvidia to scale enterprise agents at lower cost

Nutanix rolls out software solution to scale enterprise agentic AI rollouts at lower cost - SiliconANGLE

Nutanix rolls out software solution to scale enterprise agentic AI rollouts at lower cost Nutanix Inc., a hybrid cloud converged infrastructure computing leader, today announced a software solution aimed to help enterprise clients accelerate their transformation toward adopting agentic artificial intelligence across their business processes. Today's release, Nutanix Agentic AI, integrates with Nvidia Corp.'s agent builder to address the needs of enterprise firms as they build AI factory infrastructure and scale to meet new demands. A multitude of enterprise outfits have already brought chatbots into their workflows, providing conversational interfaces that can give contextual guidance to employees and customers through text and voice. However, these one-shot question-and-answer bots have started to give way to a new paradigm of AI agents that can reason over complex tasks, work autonomously and complete long-term goals with little or no human oversight. This transformation requires a new type of software infrastructure and platform design that delivers low latency while maximizing performance and still maintaining security and compliance. "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," said Executive Vice President of Product Management Thomas Cornely. Cornely added that the new solution extends its already existing solutions, AHV hypervisor, part of the Nutanix platform, which provides cost-effective decoupling of software from physical hardware to run isolated virtual machines. Users can also incorporate Flow Virtual Networking, Kubernetes and enterprise AI solutions to strategize on-time cloud operating models to build, orchestrate and govern AI agent fleets. The company's backend infrastructure has been enhanced with BlueField data processing units for high-performance networking to reduce host compute and memory consumption costs. Using the Kurbernetes platform, the system provides AI platform-as-a-service, model-as-a-service and Kubernetes-native software layers to drive predictable token costs when deploying fleets of agents. It is not an uncommon experience for AI engineers and data scientists to build an agentic AI experience for clients or customers to discover that AI agents' "thinking" can get messy. The one-shot reasoning by chatbots is easy to follow, it's comparatively clean and happens only once. However, agentic AI is a multi-turn process that steps through tasks and iterates over time, generating complex reasoning trees that can spiral wildly out of control without careful testing and regulation. When it comes to AI processing, tokens are the currency of AI reasoning; they measure the inherent economy of agentic AI. The more tokens that get used, the more power is consumed and costs go up. The company said enterprise users will benefit from virtual machines with greater performance and enhanced infrastructure with better resource optimization to achieve a lower cost per token. Nutanix added that it also simplified the path to delivering control by extending its Kubernetes platform with a catalog of prebuilt developer tools. These include Notebooks, vector databases, MLOps workflow engines and agentic frameworks. By fully integrating with Nvidia's enterprise software, developers can test, build and iterate with NIMs, including Nemotron, to develop in sandboxes safely before going live.

Nutanix's New Nvidia Agentic AI Platform For GPUs And AI Factories Unveiled

Nutanix builds a new Agentic AI software stack that integrates with Nvidia to drive GPU efficiency and agentic innovation inside Nvidia-certified AI factories. Nutanix launched its new Agentic AI software stack with deep integration with Nvidia that offers a cloud operating model to drive Nvidia GPU efficiency and agentic AI transformation for customers. The new Nutanix Agentic AI offering integrates Nvidia AI Enterprise at the Agent Builder layer and can orchestrate Nvidia's ecosystem of AI factories, while also letting teams instantly deploy Nvidia NIMs -- including Nemotron -- to accelerate the development of AI applications. "By treating AI infrastructure as a centralized, shared, highly flexible resource -- rather than each project as a silo -- we are bringing the cloud operating model to the AI factory," said Thomas Cornely, executive vice president of product management at Nutanix, in a blog post. [Related: Nutanix, VMware Heads On Memory And CPU Shortage Impacts] Nutanix Agentic AI extends the San Jose, Calif.-based company's AHV hypervisor, Flow Virtual Networking, Nutanix Kubernetes Platform and Nutanix Enterprise AI to enable customers to build, operate and govern AI factories while providing agentic AI developers with models and platform services. "This architecture doesn't just simplify operations," Cornely said. "It fundamentally optimizes AI economics by minimizing the cost per token across dynamic, multi-user environments." The new offering automatically optimizes workload placement across GPU-dense servers for maximum performance without the need for manual tuning. Before jumping into more details, it's key to know that Nutanix recently reported second fiscal quarter sales of $723 million, up 10 percent year over year. The company now has a $2.9 billion annual run rate. Here's what you need to know about the new Nutanix Agentic AI offering with Nvidia. Designed For Lower Token Costs The Nutanix Agentic AI offering delivers optimized performance and security and is designed to enable lower, predictable token costs by providing things like an advanced AI Gateway and Model-as-a-Service. It includes the newly released Nutanix Enterprise AI version 2.6 that includes the AI Gateway service for unified policy control over cloud-hosted and private LLMs, as well as new support for the Model Context Protocol (MCP) server and fine-tuning. In addition, it includes the Nutanix Kubernetes Platform with a catalog of prebuilt open- source AI developer tools including Notebooks, Vector Databases, MLOps workflow engines and Agentic frameworks. Nvidia GPU Efficiency And NIM Microservices The new Agentic AI offering also includes Nutanix Unified Storage that delivers linearly scalable read/write performance for thousands of GPU clients. Nutanix said by providing a high-capacity tier for KV Cache offloading and support for S3 over RDMA and NFS over RDMA, it provides a scalable, low-latency data fabric that maximizes GPU efficiency across all enterprise AI workloads. The Nutanix Flow Virtual Networking offering has been enhanced to offload the network dataplane to Nvidia BlueField, delivering high-performance networking while reducing host CPU and memory consumption. Developers can deploy Nvidia NIM microservices on the new Nutanix platform to accelerate the development of high-performance AI applications in production. "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," said Cornely. Accenture: New Nutanix Offering Enables 'Agentic AI At Scale' In an email to CRN, Accenture said the new Nutanix Agentic AI solution will help "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," said Accenture's Dave Malik, global infrastructure engineering AI and high-performance computing lead. Customers can deploy AI factories on hardware from Cisco Systems, Dell Technologies, Lenovo and Supermicro, supported with validation by Nutanix and Nvidia. "The future belongs to the Agentic Enterprise. By orchestrating the interaction between GPU compute, software-defined networking and enterprise data services, Nutanix is doing more than just racking and stacking hardware," said Nutanix's Cornely. "We are providing a running and regulated environment that turns AI complexity into a scalable competitive edge," he said.

Nutanix launches Agentic AI solution with NVIDIA integration By Investing.com

SAN JOSE, Calif. - Nutanix (NASDAQ:NTNX) announced Monday the launch of its Agentic AI solution, a software stack designed to help enterprises deploy and manage AI agent applications at scale. The announcement comes as the company maintains impressive gross profit margins of 87% while its stock trades 49% below its 52-week high, presenting what InvestingPro analysis suggests is an undervalued opportunity relative to its Fair Value. The solution integrates the company's AHV hypervisor, Flow Virtual Networking, Nutanix Kubernetes Platform, and Nutanix Enterprise AI to provide infrastructure for AI applications. The system works with NVIDIA AI Enterprise at the Agent Builder layer and supports AI factories from Cisco, Dell, and Supermicro through joint validation with NVIDIA. With revenue growing nearly 16% and net income expected to expand this year, the $10.8 billion company is positioning itself strategically in the enterprise AI infrastructure market. The release includes Nutanix Enterprise AI version 2.6, which adds an AI Gateway service for policy control over cloud-hosted and private large language models. The update includes support for the Model Context Protocol server and fine-tuning capabilities. The platform now supports NVIDIA's Nemotron family of AI models. The Nutanix Kubernetes Platform has been expanded with a catalog of AI developer tools including notebooks, vector databases, and MLOps workflow engines. The platform integrates with NVIDIA AI Enterprise software, allowing developers to deploy NVIDIA NIM microservices. An early access version includes topology-aware enhancements to the AHV hypervisor for resource allocation optimization on GPU servers. The Flow Virtual Networking solution now offloads network dataplane operations to NVIDIA BlueField processors. Nutanix Unified Storage, built on the NVIDIA AI Data Platform reference design, provides scalable performance for GPU clients and includes support for S3 over RDMA and NFS over RDMA protocols. The solution is available through hardware partners including Cisco, Dell, Supermicro, Lenovo, and Fujitsu. Some components are generally available while others remain in early access, according to the company's press release statement. For investors seeking deeper insights into Nutanix's financial health and growth trajectory, InvestingPro offers comprehensive analysis including 12 additional ProTips and detailed Fair Value assessments. The platform's Pro Research Report transforms complex data into actionable intelligence for over 1,400 US equities, including NTNX. Thomas Cornely, Executive Vice President of Product Management at Nutanix, said the solution "extends our AHV hypervisor" to "deliver a cloud operating model to enterprise AI factories." In other recent news, Nutanix reported strong financial results for the second quarter of fiscal year 2026, beating both earnings and revenue expectations. Despite this positive outcome, the company is facing challenges that have led to adjustments in its financial outlook. Freedom Capital Markets lowered its price target for Nutanix to $215 from $220, citing a one-time negative revenue adjustment related to ineligible claims over six quarters. Piper Sandler also reduced its price target to $63 from $72 after Nutanix cut its fiscal 2026 revenue guidance by $20 million, though the firm maintained an Overweight rating. Needham cut its price target to $55 from $65, noting the company's improved bookings outlook and its ability to maintain an operating margin between 21% and 22%, despite rising component costs. Wells Fargo lowered its price target to $50 from $57, pointing to ongoing server CPU shortages that are expected to continue affecting Nutanix through fiscal 2026. These developments highlight a mixed picture for Nutanix, with strong earnings but concerns over supply chain issues and revenue guidance adjustments. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.