Home

DataRobot Announces Agent Workforce Platform Built with NVIDIA

Build and operationalize enterprise-grade Al solutions with the first-of-its-kind Agent Workforce Platform

DataRobot today unveiled the Agent Workforce Platform — a first-of-its-kind solution for building, operating, and governing a fully functional agent workforce, even in the most complex enterprise environments. Co-engineered with NVIDIA, this platform lets organizations manage agents like digital employees, from deployment and integration to real-time oversight, retraining, and decommissioning. For the first time, organizations can rapidly run, orchestrate, and automatically scale AI agent workloads anywhere, whether cross-cloud, on-premise, and hybrid environments, without the hassles of infrastructure management and cloud configuration.

Whether it’s increasing accessibility of internal documents securely; implementing better financial planning; or improving supply chains with real-time forecasting, enterprises across industries are racing to harness the potential of AI agents – yet they often face critical challenges in moving beyond isolated experiments. Agents need continuous, secure access to data, tool choice, strong policy enforcement, and entirely new ways to monitor, debug, and control them in production.

Purpose-built for the challenges inherent in enterprises, the DataRobot Agent Workforce Platform integrates the NVIDIA AI Enterprise software suite, including NVIDIA NIM models, NVIDIA NeMo microservices, and NVIDIA AI Blueprints — with accelerated computing like NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs — to deliver trusted agent lifecycle management. This gives organizations the complete foundation to deploy an agent workforce that works alongside employees, improving productivity and business insights.

“The GPUs are racked, the models are there, and the ambition to bring it all to life is real. What’s been missing to truly deploy an agent workforce is the system to operationalize it all, which is why our Agent Workforce Platform is different. Through our strategic collaboration with NVIDIA, we’re providing what every enterprise needs but few have achieved – moving from experiments to a trusted agent workforce. With our platform, we’re finally making agentic AI not just possible, but scalable,” said Debanjan Saha, Chief Executive Officer at DataRobot.

“Organizations need solutions that are enterprise-grade and infrastructure-aware to lead in this new era of AI agents. The DataRobot Agent Workforce Platform provides organizations with a purpose-built system to run NVIDIA-powered AI agents in production, securely and at scale,” said Justin Boitano, Vice President, Enterprise AI at NVIDIA.

The Agent Workforce Platform delivers on this vision through four foundational pillars:

  1. Manage an end-to-end agent lifecycle

    AI developers use agent templates for CrewAI, LangGraph, and LlamaIndex to test, evaluate, and enforce policies before they reach production. Built-in evaluation tools; task-specific benchmarks and policy controls; and agent-specific guardrails and compliance tests ensure agents meet standards at scale. Once in production, DevOps teams gain distributed traceability across agent and tool execution, built-in support for agent identity, and user delegation to ensure compliant access to enterprise data and APIs.



  2. Run your agent workforce anywhere

    With one-click deployment and a single resource definition, agent workloads are automatically distributed and orchestrated, leveraging all available compute options to optimize for availability, latency, and cost. Built-in autoscaling minimizes overprovisioning and compute waste, while real-time monitoring gives teams full visibility and control over performance and spend.



  3. Make the AI Factory work for your enterprise

    The Agent Workforce Platform builds on the NVIDIA AI Factory to deliver production-ready agentic AI from day one. It includes more than 70 NVIDIA NIM microservices and NeMo microservices that optimize the full AI pipeline, accelerating the delivery of advanced agent workflows for vision, search, speech, and more. As a core component of the NVIDIA Enterprise AI Factory validated design, the platform runs seamlessly on infrastructure from trusted partners—making it portable, secure, and ready for any environment.



  4. Drive breakthrough performance with NVIDIA accelerated computing

    This co-engineered design delivers breakthrough computational performance and is optimized to run on NVIDIA accelerating computing like the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU. The result is faster inference, smarter resource allocation, and highly efficient execution of complex agent workloads—accelerating time to market for agentic AI. With built-in support for NVIDIA Dynamo Triton, TensorRT, and MIG technology, the platform simplifies GPU management across environments, enabling scalable, predictable performance without the operational burden of manual tuning.

To learn more about the DataRobot Agent Workforce Platform, co-developed with NVIDIA, please visit datarobot.com/nvidia and register to attend DataRobot’s event, Architecting Enterprise-Ready Agentic AI, in San Jose on August 21, or register to attend via livestream.

About DataRobot

DataRobot empowers AI teams to deliver the agentic workforce of the future. Our platform enables organizations to create and scale AI agents that integrate directly with business processes—driving efficiency, transforming operations, and delivering real results. With built-in governance and safeguards, we help enterprises deploy AI securely and confidently. For more information, visit our website and connect with us on LinkedIn.