DataRobot has officially launched the Agent Workforce Platform, a pioneering solution engineered to help enterprises build, operate, and govern fully functional AI agent workforces at scale. Developed in collaboration with NVIDIA, the platform empowers organizations to manage AI agents as digital employees streamlining everything from deployment and integration to real-time monitoring, retraining, and decommissioning. With native support for cross-cloud, on-premise, and hybrid environments, it eliminates the complexities of infrastructure setup and cloud configuration.
As organizations increasingly adopt AI agents to enhance internal document accessibility, improve financial planning, and optimize supply chains through real-time forecasting, many still struggle to move beyond initial pilot programs. Key hurdles include maintaining secure, continuous access to data, enforcing policies, choosing the right tools, and ensuring enterprise-level observability, control, and debugging of agents in production.
To address these enterprise-grade challenges, the Agent Workforce Platform integrates the NVIDIA AI Enterprise software suite featuring NVIDIA NIM models, NVIDIA NeMo microservices, and NVIDIA AI Blueprint with powerful accelerated computing infrastructure like the NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. This integrated system delivers end-to-end agent lifecycle management, allowing AI agents to seamlessly augment human teams and enhance overall productivity.
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“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 is anchored by four key pillars:
1. Comprehensive Agent Lifecycle Management
AI developers benefit from pre-built agent templates for CrewAI, LangGraph, and LlamaIndex, allowing them to test, evaluate, and implement policy enforcement before agents go live. The platform incorporates task-specific benchmarks, policy controls, and built-in compliance testing to ensure reliability. Once deployed, DevOps teams can track distributed agent and tool execution with traceability, identity management, and user delegation features that align with enterprise governance requirements.
2. Run Anywhere, Effortlessly
The platform offers one-click deployment and a unified resource definition, enabling dynamic distribution and orchestration of agent workloads. By tapping into available compute resources, it ensures optimal performance across availability, latency, and cost metrics. Real-time monitoring and autoscaling capabilities reduce waste while enhancing visibility into system efficiency and resource spend.
3. AI Factory Integration for Enterprise Agility
Built atop the NVIDIA AI Factory, the platform comes production-ready with over 70 NIM and NeMo microservices, expediting deployment of sophisticated agent workflows including vision, speech, and search. As part of the NVIDIA Enterprise AI Factory validated design, it works out of the box on infrastructure from trusted providers ensuring portability, security, and easy deployment across diverse environments.
4. High-Performance Execution with NVIDIA Acceleration
The platform’s architecture is optimized to fully leverage NVIDIA accelerated computing, including the RTX PRO 6000 Blackwell Server Edition GPU, enabling faster inference and smarter, more efficient workload execution. With integrated support for NVIDIA Triton Inference Server, TensorRT, and MIG technology, teams can manage GPU resources effortlessly and deliver predictable, scalable performance without the overhead of manual tuning.
With the launch of the Agent Workforce Platform, DataRobot and NVIDIA are setting a new standard for deploying scalable, production-grade AI agents across enterprise environments transforming pilot experiments into tangible, enterprise-ready solutions.