Cloudera Adds NVIDIA Agent Workflows to Enterprise AI Blueprints

Cloudera introduced Blueprints at EVOLVE26 New York on Oct. 27, pairing NVIDIA AI workflows with its data management, security and governance capabilities for enterprise deployments across clouds, data centers and the edge.

The portfolio extends Cloudera’s Accelerators for ML Projects with NVIDIA AI Blueprints built using the NVIDIA Agent Toolkit. Blueprints supports deployments across public clouds, on-premises data centers and the edge, with security and governance controls. The offering adds agent workflows to Cloudera’s broader push to run AI across different computing environments.

Planned applications include a transaction foundation model, tools that prepare clinical documentation, telecom agents for network configuration planning and synthetic-video detection. The announcement included no release date for those workflows.

Cloudera also expanded its Enterprise AI Ecosystem. Neo4j provides knowledge graphs and semantic context, while Cartesia provides speech generation and transcription for voice agents. The expanded roster also includes Mistral and VAST Data, which had partnered with Cloudera earlier in 2026.

“Our ambition is to make every enterprise an AI factory,” said Abhas Ricky, Cloudera’s chief business officer and GM of Applied AI.

The Blueprints announcement builds on Cloudera’s cross-environment AI pitch. In August, the company introduced Anywhere Cloud for data and AI across multicloud and on-premises environments, also featuring an agentic copilot. The Oct. 27 portfolio combines that portability focus with specific NVIDIA workflows, though the listed applications remain planned and have no stated release timetable.