Building the enterprise agentic AI factory with DataRobot and Dell

2026-04-02 · Source: Blog | DataRobot · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Cybersecurity & Data Privacy · Depth: Advanced, medium

Summary

DataRobot and Dell Technologies are collaborating to address the complex infrastructure, security, governance, and operational requirements for deploying AI agents at enterprise scale. Their joint solution, DataRobot on Dell AI Factory with NVIDIA, aims to provide a pre-validated blueprint for running governed agent workforces on owned infrastructure, moving from bare metal to production in hours. The platform tackles four key challenges: scalable, reliable, cost-effective inference using Dell PowerEdge servers and NVIDIA GPUs; embedded governance and monitoring with real-time guardrails and automated compliance; secure context and knowledge management with managed RAG workflows; and robust security and identity management for agents. DataRobot also announced new capabilities including a Unified Workload API, ACL Hydration for preserving access controls in RAG systems, and an identity-first AI governance model for agents.

Key takeaway

For CIOs and VP of Engineering overseeing AI initiatives, the complexity of deploying agentic AI in production demands a holistic, integrated approach. Your teams should evaluate pre-validated solutions like DataRobot on Dell AI Factory to accelerate deployment, ensure robust security and governance, and achieve predictable operational costs, rather than attempting to stitch together disparate open-source and proprietary tools.

Key insights

Enterprise AI agent deployment requires integrated solutions for secure, scalable, and governed production on owned infrastructure.

Principles

• Governance must be embedded from day one.
• Agents require distinct, governed identities.
• Infrastructure must support predictable economics.

Method

The DataRobot on Dell AI Factory provides a pre-validated blueprint, integrating Dell PowerEdge servers, NVIDIA GPUs, and DataRobot's Agent Workforce Platform for rapid, governed agent deployment.

In practice

• Utilize ACL Hydration for secure RAG.
• Implement identity-first governance for agents.
• Leverage unified APIs for AI workload management.

Topics

• Agentic AI
• Dell AI Factory
• DataRobot
• AI Governance
• NVIDIA

Best for: CTO, VP of Engineering/Data, Director of AI/ML, MLOps Engineer, AI Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by Blog | DataRobot.