Enterprise AI is entering a new phase. Generative AI introduced tools that can answer questions, create content, summarize information, and assist users with individual tasks. Agentic AI takes that concept further.
Instead of simply responding to a prompt, AI agents can reason through multiple steps, interact with tools and enterprise data, and take actions to complete more complex workflows.
As organizations move from experimenting with individual AI applications to deploying agents throughout the enterprise, they need infrastructure capable of securely supporting potentially thousands of agents, services, models, and users.
Nutanix Agentic AI solution is designed specifically for this next generation of enterprise AI.
What Makes Agentic AI Different?
Traditional generative AI applications are largely reactive. AI agents can go further by working through multi-step processes and interacting with other systems to accomplish a goal.
An agent can retrieve information from enterprise data, use external tools, complete an action, evaluate the result, and determine what to do next. This creates the potential to automate much more sophisticated business processes.
It also means enterprise AI infrastructure must support far more than access to a large language model (LLM). Organizations need to consider models, data, APIs, applications, security, governance, computing resources, and connections to enterprise systems.
A Full-Stack Platform for Agentic AI
Nutanix Agentic AI is a full-stack software solution designed to help organizations build, run, and govern AI factories and agentic AI applications.
The solution brings together Nutanix Enterprise AI (NAI), Nutanix Kubernetes Platform (NKP), Nutanix Unified Storage (NUS), Nutanix AHV virtualization, and networking and security capabilities to provide a common foundation for enterprise AI.
For infrastructure teams, this provides tools to operate and secure the underlying AI environment. For developers and data scientists, it provides access to models and AI services needed to build and deploy agentic applications.
Securely Connect AI Agents to Enterprise Data
For an AI agent to perform useful work, it often needs to interact with private data, business applications, APIs, or other enterprise tools.
Nutanix Enterprise AI provides Model Context Protocol (MCP) server access management, allowing agents to securely connect with enterprise tools and private data sources.
Nutanix Agent Gateway, part of Nutanix Enterprise AI, provides this capability by acting as a centralized access point for AI agents, models, and services. Organizations can apply consistent authentication, governance, observability, and token-based rate limits across cloud-hosted and private LLMs.
These capabilities become increasingly important as organizations move from isolated AI experiments to agents that interact directly with business systems and data.
Control the Cost of AI at Scale
Agentic AI also changes the economics of enterprise AI.
A single request may trigger numerous model calls, tool interactions, or requests for additional context. Multiply those interactions across potentially thousands of agents and users, and token consumption can grow quickly.
Capabilities such as token usage monitoring, rate limiting, smart model routing, inference scaling, and optimized GPU consumption can help organizations understand how AI resources are being used and manage the cost of operating AI applications at scale.
Run AI Where It Makes Sense
Enterprise AI doesn’t have to live entirely in the public cloud. Nutanix Enterprise AI supports private and cloud-hosted LLMs and can operate across on-premises, edge, and public cloud environments. Organizations can select infrastructure and models based on requirements for security, performance, cost, data control, and compliance.
This flexibility can help organizations determine which AI workloads should remain close to private enterprise data and which are better suited for cloud-based services.
Prepare for the Agentic AI Era with Choice Solutions
Moving from generative AI assistants to autonomous AI agents introduces new considerations around infrastructure, security, governance, data access, scalability, and cost.
Nutanix provides a platform designed to help organizations move beyond isolated AI experimentation and build the infrastructure required to operate agentic AI at enterprise scale.
Choice Solutions can help organizations evaluate Nutanix Agentic AI solutions, understand the infrastructure requirements behind enterprise AI, and develop a strategy for securely supporting AI workloads across their environments.
Contact Choice Solutions to learn how Nutanix can help your organization prepare for the next generation of enterprise AI.
