Nutanix, 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.
Nutanix announced Nutanix Agentic AI, a full software stack purpose-built to help enterprises accelerate adoption of Agentic AI for business transformation.
The solution integrates with NVIDIA AI Enterprise at the Agent Builder layer and orchestrates the NVIDIA-certified ecosystem of AI factories for supported configurations.
Nutanix Enterprise AI (NAI) version 2.6 now includes an AI Gateway service, support for Model Context Protocol (MCP) servers, fine-tuning capabilities, and NVIDIA Nemotron models.
The Nutanix Kubernetes Platform provides a rich catalog of pre-built open source AI tools including notebooks, vector databases, and agentic frameworks.
Infrastructure optimizations include NVIDIA topology-aware AHV and Flow Virtual Networking offloaded to NVIDIA BlueField DPUs.
The solution is supported on hardware from Cisco, Dell, Lenovo, and Supermicro, with partnerships including TCS, Accenture, and Fujitsu.
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," said Thomas Cornely, Executive Vice President of Product Management at Nutanix. "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."
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.
The Nutanix Agentic AI solution reduces complexity, delivers optimized performance and security, and is designed to enable lower, predictable token costs through several key capabilities. 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.
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.
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.
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.
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.
"Agentic AI requires high-performance infrastructure that can securely manage thousands of agents at enterprise scale," said Justin Boitano, Vice President, Enterprise AI Platforms, NVIDIA. "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."
"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," said Travis Vigil, Senior Vice President, ISG Product Management, Dell Technologies. "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."
"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," said Jeremy Foster, SVP and General Manager, Cisco Compute. "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."
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.
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