Hybrid data and artificial intelligence platform provider Cloudera has officially launched Cloudera Blueprints, an expanded suite of production-ready AI solutions engineered to help organizations build and scale artificial intelligence applications directly on proprietary enterprise datasets.
Drawing from the Accelerators for ML Projects (AMPs) already developed at Cloudera, the portfolio leverages NVIDIA AI Blueprints that have been created by utilizing the NVIDIA Agent Toolkit. The integration of the NVIDIA’s architecture for accelerated computing along with reference workflows on one side and the data governance, security, and life cycle management capabilities at Cloudera on the other enables the framework to move enterprise IT from concept to production.
Overcoming Obstacles to Data Gravity and Governance in Production AI
As autonomous and generative AI are introduced in a greater degree, the constraint will lie in information that is trusted, clean, and controlled. Information which is critical for missions and comes from highly regulated sectors such as finance, health care, and telecoms will be shared among public clouds, sovereign clouds, co-location, and on-premise data centers. Constraints of regulations, sovereignty, and privacy will limit the movement of information to public clouds.
Although reference workflows serve as valuable guides, their adaptation to enterprise infrastructure usually involves a lot of proprietary software engineering, pipeline implementation, and security configurations.
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The technical solution from Cloudera Blueprints is to deploy prepackaged containerized AI workloads on the Cloudera AI platform. This way, data does not have to be moved or consolidated in a different location as AI runs where data lives in the entire end-to-end process. This process is governed and auditable at every computation level.
Key operational capabilities and the technology benefit of this partnership include:
Rapid Lifecycle From Prototype To Production – Faster deployment through the incorporation of AI logic in the native enterprise data pipeline and ingestion streams, as well as data engineering platform.
In-Place AI Processing – Enables the use of AI processing without moving governed data outside the compliance boundary.
Full NVIDIA Acceleration – Leveraging NVIDIA NIM microservices and NVIDIA Nemotron foundation models using Cloudera AI Inference and NVIDIA cuDF accelerator using Cloudera Data Engineering for fast data preparation to inference.
Open Source Architecture – Gives flexibility of deployment by using open source for model, data, and hardware.
Industry-Specific AI Accelerators Targeted for Regulated Industries
Additional use cases from the set of industry-specific use cases for the first wave are also found in specialized NVIDIA AI Blueprints with Cloudera Blueprints:
Financial ServicesFoundation Models for Transactions: enables the ability to develop custom transaction-based foundation models to augment synthetic fraud detection, credit risk modeling, and customer engagement prediction within financial services firms.
Ambient Healthcare observes Agents (Healthcare): listens to conversations between doctors and patients and converts them to standardized clinical notes on the fly.
Radio Access Network (RAN) Configuration Planner (Telecom): enables robotic network optimization agents that leverage real-time and historic telemetry data to model, deploy, and validate cellular network configurations.
“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, 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 organizations accelerate time to value and turn AI innovation into real business impact.”
“NVIDIA and Cloudera share a commitment to helping enterprises accelerate AI adoption and realize the full value of their investments,” said Pat Lee, Vice President, Strategic Enterprise Partnerships, NVIDIA. “By combining NVIDIA’s accelerated computing and AI software stack with Cloudera’s hybrid data platform, we’re making it easier for organizations to deploy AI wherever their data resides, whether in the cloud, on premises, or at the edge.”
Strategic Showcase at EVOLVE26 New York
The introduction of Cloudera Blueprints deepens the ongoing engineering collaboration between Cloudera and NVIDIA to operationalize artificial intelligence across hybrid enterprise environments. The complete Cloudera Blueprints catalog is being demonstrated live during EVOLVE26 New York, Cloudera’s flagship global data and artificial intelligence conference.