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DataRobot with NVIDIA: The fastest path to production-ready AI apps and agents
- Organizations face challenges in moving AI projects from development to production, particularly in deploying agentic AI apps.
- DataRobot, along with NVIDIA AI Enterprise, offers a fast solution for developing and delivering agentic AI, reducing risks and complexity.
- The integration allows for custom-tailored AI solutions optimized for business problems.
- A use case example involves real-time warehouse optimization using AI-powered video analysis and predictive forecasting.
- DataRobot and NVIDIA streamline the development of agentic AI apps, solving complexities and roadblocks in deployment.
- NVIDIA AI Blueprints and DataRobot AI Apps provide structured frameworks to jumpstart AI application development.
- RAPIDS and DataRobot's predictive AI capabilities accelerate the process of building and testing models.
- NVIDIA NIM and DataRobot tools optimize RAG workflows for efficient AI development.
- Continuous monitoring, observability, and deployment optimization are crucial for maintaining and scaling agentic AI applications.
- DataRobot with NVIDIA provides hyperscaler-grade ease of use across various deployment options, transforming AI development and deployment.
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