Cloudera and Mistral AI are partnering to give enterprises a way to build, customize, and run sovereign AI models against private data without moving sensitive information outside their controlled environments.
The partnership combines Cloudera’s hybrid data and AI platform with Mistral’s models and tools, supporting deployments across cloud, on-premises, edge, sovereign, and air-gapped environments.
For channel partners, that deployment flexibility could create opportunities around private AI architecture, data governance, infrastructure integration, and ongoing management, particularly for customers in regulated industries or environments where sensitive data cannot be sent to external AI services.
Cloudera and Mistral bring AI models to enterprise data
Mistral’s suite of frontier models and tools will be integrated with Cloudera’s hybrid data and AI platform, enabling customers to run their own custom AI models and applications across 30 exabytes of data.
Organizations will be able to bring intelligence directly to their data across cloud, on-prem, edge, sovereign, and air-gapped environments, without sensitive information leaving their control.
Further, organizations will be able to run inference privately, customize AI using proprietary data, and deploy AI applications within their existing security and governance boundaries.
“Enterprise AI is entering a new phase where organizations need more than access to powerful models; they need the freedom to unlock specialized intelligence using their data, on their terms,” said Abhas Ricky, chief business officer and GM of applied AI at Cloudera.
“Together with Mistral, we are giving enterprises the ability to run AI where their data lives, customize it with their own intellectual property, and maintain control over their data, infrastructure, and economics. That combination of intelligence and controls is essential to moving AI from experimentation into production,” Ricky continued.
Partnership targets sovereign and regulated AI deployments
The combination addresses key challenges enterprises face – particularly those operating in highly regulated and data-intensive industries – as moving sensitive or proprietary information to external AI services can lead to regulatory scrutiny and security and operational challenges.
Organizations will have the deployment flexibility across public, private, on-prem, and fully air-gapped environments, while maintaining consistent governance and control over their context.
Cloudera models will have greater choice in how they apply AI to their enterprise data, as the partnership spans Mistral’s broad portfolio of frontier AI models and tools, including reasoning, chat, coding, document intelligence, and voice.
Mistral Forge adds model customization with private data
Mistral Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge, will integrate with Cloudera’s platform, enabling organizations to customize and train models against large volumes of private enterprise data within controlled environments.
“Our mission is to make frontier AI available to enterprises without requiring them to give up control over their data, infrastructure, or intellectual property,” said Kamal Brar, the SVP of partnerships and alliances at Mistral.
“Cloudera manages some of the world’s most valuable enterprise data estates, making this partnership a powerful opportunity to bring our technology directly to where that data lives. Together, we can give customers the ability to build AI that reflects their own data and expertise and deploy it securely where their business requires.”