Nutanix Enterprise AI

Private and secure centralized inferencing for GenAI.

Deploy LLMs and endpoints with secure APIs to run from the edge to public clouds for all your GenAI apps and agents with standardized and centralized inferencing, including Day 2 operations.

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Create a private, centralized inferencing for GenAI that you control

Standardize with private, centralized inferencing for LLMs and endpoints that you control, with simplified Day 2 operations and predictable costs.

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Standardized AI Inferencing

Leverage NAI to create a standardized, cost-predictable LLM repository for production under an LLM and an endpoint control plane.

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Private Inference Management

Manage a private and secure foundation for LLMs and all your AI apps, which are sovereign under your control.

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Day 2 Operations for AI

Understand where and how deployed inference components operate, from infrastructure to LLMs and endpoints, streamlining operations.

Image to represent Nutanix Enterprise AI is a comprehensive solution for all your AI apps and agents

Nutanix Enterprise AI is a comprehensive solution for all your AI apps and agents

One, Centralized Inference Standard

Standardized for All Your GenAI Apps

Built on Kubernetes to provide a standardized inference infrastructure that’s private for any environment, including dark sites. Develop, prototype, and run production on the same infrastructure.

Choice of Inference Models

Use LLMs from HuggingFace or NVIDIA NIM and NeMo, or deploy your own discrete models (bring your own models).

Simple and Cost Predictable

Scale out AI on your terms by only paying for the AI accelerators you need, including GPUs or CPUs without token or per-API charges.

Private Inferencing That You Control

Simplified and Sovereign AI Security

Leverage role-based access controls (RBAC) for different user types with SSL-encrypted endpoint APIs that are easily auditable and align with governance or compliance frameworks.

Made to Enable Agentic AI

Create the foundation for AI agents to automate, reason, and perform multiple functions, from tool calling to ML operations for creating secure, shared service models.

Endpoints Made Easy

Create OpenAI-compatible APIs for your AI agents and LLMs as secure endpoints managed and accessed in a simple-to-use interface.

Day 2 AI Operations Made for IT

Instant LLM Metrics

Understand LLM operations for deployed endpoints around metrics like latency and usage for faster issue resolution.

Key AI Infrastructure Analytics

Get visibility into the underlying Kubernetes infrastructure for key analytics like GPU usage that enables planning and scale-out.

Preflight Model Testing Before They’re Used

Quickly test model deployments with a natural language interface before handing off endpoint credentials.

How it Works

Take a Guided Demo of the Nutanix Enterprise AI

Try it Yourself


Run and Build AI Workloads with Nutanix

A Full-Stack AI Solution

GPT-in-a-Box provides a full-stack solution leveraging the latest hardware, AI partners, data services, and GenAI integrations.

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Partnered for Enterprise AI

Find trusted, enterprise AI partners to help you deploy and scale your AI strategy on Nutanix.

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AI That Adapts

Evolve, shift, change, and adapt AI strategies with new models and OpenAI-compatible APIs, regardless of the infrastructure,  applications, or agents used.

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Run on Public Clouds

Nutanix Enterprise AI can be used on hyperscaler Kubernetes services, including Google Cloud GKE, AWS EKS, or Azure AKS.

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Take a test drive using a hosted instance for Nutanix Enterprise AI

Use Nutanix Enterprise AI to simply deploy an AI model (LLM) and secure APIs and discover how easy it is to jumpstart your enterprise AI transformation.

©2024 Nutanix, Inc. All rights reserved. Nutanix, the Nutanix logo and all Nutanix product and service names mentioned herein are registered trademarks or trademarks of Nutanix, Inc. in the United States and other countries. Kubernetes is a registered trademark of The Linux Foundation in the United States and other countries. All other brand names mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s). Our decision to link to or reference an external site should not be considered an endorsement of any content on such a site. Certain information contained in this content may relate to, or be based on, studies, publications, surveys and other data obtained from third-party sources and our own internal estimates and research. While we believe these third-party studies, publications, surveys and other data are reliable as of the date of this paper, they have not been independently verified unless specifically stated, and we make no representation as to the adequacy, fairness, accuracy, or completeness of any information obtained from a third-party.
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