Cloudera has launched Cloudera Blueprints, a new portfolio of ready-to-deploy AI solutions designed to help enterprises accelerate the development and deployment of AI applications using their own data.
Building on its existing Accelerators for ML Projects (AMPs), the expanded portfolio introduces Nvidia AI Blueprints, built with Nvidia Agent Toolkit on Cloudera, combining Nvidia’s reference AI workflows with Cloudera’s enterprise data management, security, and governance capabilities to help organisations move AI use cases from proof of concept to production.
Cloudera Blueprints offer preconfigured AI solutions that run directly on Cloudera AI, connecting proven AI workflows with enterprise data and infrastructure. Organisations can build and deploy applications on the same platform across public clouds, on-premises data centers, and the edge, bringing AI directly to their data while maintaining consistent security, governance, and control.
“Enterprises are eager to move beyond AI experimentation, but turning promising prototypes into production-ready applications remains a challenge, particularly when data is spread across complex environments,” said Leo Brunnick, chief product officer at Cloudera. “With Cloudera Blueprints, we’re closing that gap by combining proven AI workflows from Nvidia with the data management, security, and governance capabilities enterprises need to deploy AI at scale. By bringing AI directly to their data, wherever it resides, we’re helping organisations accelerate time to value and turn AI innovation into real business impact.”
Cloudera Blueprints will soon leverage Nvidia AI Blueprints on Cloudera, targeting high-value AI applications across financial services, healthcare, telecommunications, and other industries:
- Build Your Own Transaction Foundation Model: Help financial institutions develop transaction-based foundation models to improve fraud detection, risk assessment, and personalized customer experiences.
- Ambient Healthcare Agents: Automate clinical documentation by transforming patient-provider conversations into structured clinical notes, while supporting patient intake, scheduling, and inquiries.
- Telecom Network Configuration Planning Agents: Help telecommunications providers optimize network performance with AI agents that recommend, apply, and validate radio access network configurations using historical and real-time data.
- Synthetic Video Detection: Support organizations in identifying AI-generated video content to strengthen digital trust, identity verification, and fraud prevention.
Additional Nvidia AI Blueprints will be incorporated into the Cloudera Blueprints portfolio based on evolving industry requirements and customer demand.
Cloudera Blueprints extend Nvidia’s AI reference workflows with the enterprise capabilities required to deploy and scale AI applications in real-world environments. By combining Cloudera’s hybrid data and AI platform with Nvidia-accelerated computing, organizations benefit from:
- A faster path from prototype to production: Ready-to-deploy solutions simplify production deployment by integrating AI workflows with data ingestion, data engineering, security, and governance.
- AI wherever enterprise data resides: Deploy AI applications across public cloud, on-premises data centers, and the edge without requiring sensitive or regulated data to be relocated, while maintaining consistent governance, lineage, and security.
- End-to-end Nvidia acceleration: Leverage Nvidia NIM microservices and Nvidia Nemotron models through Cloudera AI Inference, alongside Nvidia cuDF for Apache Spark in Cloudera Data Engineering to accelerate workloads from data preparation through inference.
- Flexibility through open standards: Maintain choice across AI models, infrastructure, and deployment environments through an open-source foundation while reducing vendor lock-in.