Simplifying secure on-prem AI with Nutanix and DataRobot

The result is a widening gap between business expectations and what existing infrastructure can support.  

This creates a two-fold challenge: 

1. Ensuring continuous security and compliance across production systems.
   
2. Delivering AI fast enough to meet business needs, without blowing through time, cost, or resources.  

And for most teams, starting from scratch with open source tooling isn’t realistic.  

What’s needed is a composable, integrated AI foundation that works across environments, simplifies operations, and gives IT teams the tools and shortcuts to deliver outcomes fast, without compromising security or governance.

Why AI stalls in high-security environments

AI initiatives often lose momentum — or never reach production — due to barriers like:

• Procurement and integration delays: Acquiring and deploying new tools takes too long, stalling adoption and impact.
  
• Disconnected infrastructure: Disparate and siloed systems block access to the right data and make it hard to design a scalable, resilient AI stack.
  
• Operational complexity: IT teams spend more time maintaining tools than enabling data science.
  
• Rigid security and compliance demands: Every new component requires vetting, testing, and regulatory approval when AI demands quick iteration.
  
• Poor observability and blind spots: Limited visibility leads to rework in the short term and audit delays down the line. 

These challenges are deeply interconnected. Patchwork fixes won’t address them.

Delivering outcomes at scale requires a platform that simplifies infrastructure, embeds security and governance,  and gives IT teams the tools and control they need to move fast, without compromising trust. 

Validated by Nutanix. Built for regulated environments.

IT leaders need more than a patchwork of tools; they need a secure, scalable platform that works right out of the box.

That’s exactly what we’ve built with Nutanix.

We’re proud to be recognized as Nutanix’s 2025 Americas Technology Alliance Partner of the Year — a reflection of our shared focus on simplifying agentic AI for highly regulated, on-prem environments.

This recognition highlights the strength of our joint solution: a fully validated, enterprise-grade AI platform that runs securely on Nutanix infrastructure. It enables rapid deployment, built-in governance, and full-stack integration, helping teams accelerate adoption without compromising compliance or control.

 Simplifying agentic AI delivery on-prem

Current tools and infrastructure weren’t built for the speed, scale, or security that AI demands — especially in highly regulated, on-prem environments.

DataRobot and Nutanix remove the friction with a fully integrated platform that simplifies setup, secures access to the latest models, and embeds observability and governance from the start.

Together, we offer a validated AI stack purpose-built for high-security on-prem and air-gapped environments. This end-to-end solution gives IT leaders the speed, and compliance needed to deliver AI value within budget, without sacrificing control. 

It’s fast to set up, easy to manage, and built to support secure, governed AI from development through deployment. 

Nutanix: Build a scalable, secure foundation

• Setup and scale securely: Deploy Nutanix Enterprise AI on CNCF-certified Kubernetes — scalable, cost-efficient, and ready for high-security workloads.
  
• Simplify access to the latest models: Deploy open-source LLMs, including NVIDIA NIM, with streamlined  model selection and management.
  
• Manage and protect every endpoint: Stand up resilient endpoints with built-in security to test and run models safely.
  

DataRobot: Deliver business-ready agentic AI apps

• Build enterprise-grade AI apps: Use prebuilt templates or create custom apps for high-security use cases within a flexible, production-ready development environment.
  
• Ensure trust and compliance: Apply built-in guardrails and generate compliance documentation to support audit readiness.
  
• Deploy and govern at scale: Move apps to production with continuous monitoring and full governance oversight.

DataRobot delivers mission-critical AI apps for federal agencies

Federal agencies can’t afford disruption. That’s why DataRobot delivers mission-critical AI apps designed to integrate with existing systems and deploy where your data lives, so you can move fast, stay compliant, and drive mission outcomes without overhauling your infrastructure.

Our AI applications tackle a wide range of critical use cases, including:

• Budget insight and contract optimization: Identify underutilized funds and model future resource needs to drive smarter, faster budget decisions.
  
• Fraud, waste, and abuse surveillance: Detect anomalies early with continuous data monitoring and automated compliance alerts.
  
• Talent management and force readiness: Optimize recruitment, retention, and training investments to maintain a mission-ready workforce.
  
• Operational Efficiency and Predictive Maintenance: Streamline procurement and predict equipment failures to boost fleet availability and lower costs.

Secure on-prem AI without compromise

For IT leaders in regulated industries, AI success often means tough trade-offs: speed vs. control, innovation vs. compliance, usability vs. security, budget overruns vs. mission outcomes. 

In sectors like public, healthcare, and financial services, the challenge is meeting every requirement — without slowing down progress.

To move from AI ambition to real results, ask yourself:

• Is your infrastructure fast, secure, and flexible enough to adapt?
  
• Are security and compliance controls built in and simple to use?
  
• Do your tools and apps enable teams to deliver on business needs?

This is the new operational baseline for secure AI delivery in highly regulated environments, and it’s exactly what Nutanix and DataRobot make possible.

With this platform, you can deploy AI securely, efficiently, and without compromise — turning ambition into measurable outcomes.

Book a demo with a DataRobot expert and explore what’s possible for leveraging the latest AI advances in your on-prem data environment.