DataRobot + Nebius: An enterprise-ready AI Factory optimized for agents

2026-03-16 · Source: Blog | DataRobot · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Robotics & Autonomous Systems · Depth: Advanced, long

Summary

DataRobot and Nebius have partnered to launch "AI Factory for Enterprises," a joint solution designed to accelerate the development, operation, and governance of AI agents, enabling production deployment in days. This platform combines DataRobot's Agent Workforce Platform, which offers comprehensive agent lifecycle management, with Nebius' purpose-built cloud infrastructure for AI. Nebius provides bare-metal GPU performance, low latency, and predictable throughput, eliminating "noisy-neighbor" issues and offering a pay-per-token model via its Token Factory for open-source models. DataRobot's platform includes an enterprise-grade runtime with out-of-the-box governance and monitoring, supporting single-click deployment of over 50 NVIDIA NIMs and Hugging Face models, alongside an easy-to-use agent builder environment. The solution ensures security, identity management, and comprehensive evaluation capabilities, including LLM-as-a-Judge and side-by-side comparisons, all deployed on Nebius Managed Kubernetes with dedicated NVIDIA GPU worker pools.

Key takeaway

For CTOs and VPs of Engineering seeking to operationalize AI agents rapidly and securely, the AI Factory for Enterprises offers a validated stack that streamlines deployment and governance. Your teams can leverage purpose-built GPU infrastructure and integrated lifecycle management to move agents from experimentation to production in days, ensuring predictable performance, cost, and compliance. Consider this solution to mitigate the "virtualization tax" and accelerate your enterprise AI initiatives.

Key insights

The AI Factory for Enterprises accelerates AI agent deployment and governance through specialized cloud infrastructure and comprehensive lifecycle management.

Principles

• Purpose-built cloud infrastructure enhances AI performance.
• Comprehensive agent lifecycle management is crucial for enterprise AI.
• Automated governance and monitoring are essential for production AI.

Method

The platform integrates DataRobot's Agent Workforce Platform with Nebius AI Cloud, utilizing managed Kubernetes, dedicated GPU pools, and a Workload API for deploying and governing containerized AI agents and models.

In practice

• Deploy NVIDIA NIMs with four clicks for governed inference.
• Use Workload API for containerized agent deployment with autoscaling.
• Leverage Nebius Token Factory for cost-effective model experimentation.

Topics

• AI Agents
• Enterprise AI Platforms
• GPU Cloud Infrastructure
• MLOps
• Agent Lifecycle Management

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

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