DataRobot has officially launched the Agent Workforce Platform, a pioneering solution designed to build, operate, and manage a full-fledged workforce of AI agents across complex enterprise environments. Co-developed with NVIDIA, this platform enables organizations to treat AI agents like digital employees handling everything from deployment and integration to real-time supervision, retraining, and decommissioning.
For the first time, companies can easily run, orchestrate, and scale AI agent workloads across multi-cloud, on-premises, or hybrid setups without the burden of managing infrastructure or configuring cloud resources. This breakthrough removes the operational barriers that previously hindered scalable agent deployments.
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Addressing Key Challenges in Enterprise AI
As industries accelerate their adoption of AI agents for tasks like document processing, financial planning, and supply chain forecasting, they continue to face common roadblocks. These include limited data access, poor tool integration, weak policy enforcement, and a lack of production-grade observability.
The DataRobot Agent Workforce Platform directly addresses these issues. By integrating the NVIDIA AI Enterprise software suite including NIM models, NeMo microservices, and AI Blueprints the platform ensures end-to-end governance and lifecycle management for enterprise AI agents. It runs on high-performance hardware like the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU, delivering a solid foundation for organizations to trust and scale their agent operations.
A Game-Changer for AI in Production
According to Debanjan Saha, CEO of DataRobot, the platform fills a critical gap: “Organizations already have the GPUs and models in place. What’s been missing is a system that operationalizes the entire process. Our Agent Workforce Platform brings this vision to life, enabling a truly scalable and secure agent workforce.”
Justin Boitano, VP of Enterprise AI at NVIDIA, added, “Enterprises need robust and infrastructure-aware systems. The Agent Workforce Platform makes it possible to deploy NVIDIA-powered AI agents at scale, safely and efficiently.”
Four Pillars Powering the Agent Workforce Platform
- End-to-End Agent Lifecycle Management
Developers can test and validate agent templates (e.g., CrewAI, LangGraph, LlamaIndex) before production. Built-in benchmarks, policy checks, and compliance guardrails ensure enterprise-grade reliability and security. - Run Agents Anywhere, Anytime
With one-click deployment and smart autoscaling, the platform balances latency, availability, and cost. Real-time monitoring offers transparency into performance and resource use. - Integration with NVIDIA AI Factory
The platform leverages over 70 production-ready NIM and NeMo microservices, optimizing AI pipelines for vision, search, speech, and more. It also supports seamless integration with infrastructure from trusted enterprise partners. - Unmatched Performance with NVIDIA Accelerated Computing
Engineered for high efficiency, the system uses NVIDIA’s cutting-edge tech like TensorRT, Triton, and MIG, ensuring peak GPU utilization with minimal manual intervention.
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FAQs
1. What is the Agent Workforce Platform?
The Agent Workforce Platform by DataRobot is a comprehensive system that enables enterprises to build, deploy, and scale AI agents like digital employees, ensuring seamless integration, monitoring, and management across any environment.
2. Why do businesses need AI agents?
AI agents help automate complex workflows such as financial forecasting, document processing, and real-time decision-making boosting productivity, reducing costs, and improving accuracy in business operations.
3. How does the Agent Workforce Platform differ from traditional AI deployment tools?
Unlike conventional tools, this platform offers end-to-end lifecycle management, real-time governance, built-in compliance, and integration with NVIDIA’s high-performance AI ecosystem making it enterprise-ready and fully scalable.
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