The rise of generative AI applications is transforming how enterprises approach automation and intelligence, and Nutanix is enabling organizations to move faster and more securely with the latest release of its Nutanix Enterprise AI (NAI) platform. Announced at the .NEXT Conference, the update introduces deeper integration with NVIDIA AI Enterprise—including NVIDIA NIM microservices and the NVIDIA NeMo framework—bringing robust agentic AI capabilities to production environments across edge, datacenter, and multicloud infrastructure.
The Nutanix Enterprise AI (NAI) solution now integrates tightly with NVIDIA AI Enterprise, enabling enterprises to build, deploy, and manage agentic AI applications securely and efficiently. This includes support for NVIDIA NIM microservices and the NeMo framework, key tools in the development of next-gen AI agents.
With this release, Nutanix extends a shared model services methodology, streamlining operations by offering secure embedding, reranking, and guardrail functional models as reusable endpoints. This makes it easier to deploy multiple AI applications without burdening infrastructure with redundant workloads.
NAI allows enterprises to deploy agentic AI applications using centralized LLM endpoints. By enabling reuse across applications, organizations can minimize resource consumption—including GPUs, CPUs, storage, and Kubernetes clusters—without compromising scalability or security.
The platform supports NVIDIA’s Llama Nemotron models, NeMo Retriever, and NeMo Guardrails, empowering teams to build safer, more responsive AI workflows. Prebuilt NVIDIA AI Blueprints further accelerate application development with customizable, ready-to-use configurations.
The integration of NeMo Guardrails ensures enterprises can enforce AI safety policies. These guardrails filter both inputs and responses, detect jailbreak attempts, and enforce topic-level controls—making the solution ideal for regulated industries and sensitive environments.
“Customers can realize the full potential of generative AI without sacrificing control,” said Scott Sinclair, Practice Director at ESG. “This expanded partnership with NVIDIA provides organizations an optimized solution for agentic AI minimizing the risk of managing complex workflows while also safeguarding deployment through secure endpoint creation for APIs.”
Through Nutanix Unified Storage and Nutanix Database Service, the platform supports both unstructured and structured data needs. It builds on the NVIDIA AI Data Platform reference design and supports GPUDirect Storage for performance optimization.
NAI is built to run on Nutanix HCI, bare metal, and public cloud IaaS, while offering Kubernetes-based multicloud fleet management—allowing enterprises to maintain full control of their AI initiatives.
The latest NAI release with agentic model support is now generally available.
Nutanix is a global leader in cloud software, offering organizations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at www.nutanix.com or follow us on social media @nutanix.
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