Cloudera and Mistral are joining forces to bring sovereign AI applications directly to enterprise data. This provides organizations with greater control, flexibility, and freedom of choice when developing and deploying private AI, regardless of where their data is located.
Cloudera and Mistral have announced a strategic partnership that enables companies to securely apply AI models to their own data, whether in the cloud, on-premises, or at the edge. This collaboration targets organizations that manage privacy-sensitive data and require control over their AI implementations. By combining Cloudera’s hybrid data and AI platform with Mistral’s sovereign models, companies gain better control over the costs, security, and location of their AI applications.
Privacy-sensitive data #
Through this collaboration, companies managing large, sensitive data sources gain more control over how and where AI is executed. They can perform inference in a private environment and customize AI models with their own data, entirely within their own security and governance frameworks. This allows organizations to scale their AI applications without relying on public cloud models or external APIs.
Cloudera customers can now deploy AI solutions in diverse environments: from public and private clouds to fully isolated (air-gapped) infrastructures. The integration of Mistral provides support for various functions such as chat, programming, document analysis, and speech processing.
AI closer to the source #
With the integration of Mistral Forge, organizations can build and train AI models on their own enterprise data without exposing sensitive information to third parties. This is particularly important for companies with large volumes of proprietary data, allowing them to transform their domain expertise into distinctive AI solutions. Developers can securely build AI applications within local environments and maintain full control over data and intellectual property.
Furthermore, Cloudera and Mistral are collaborating on the development of edge AI solutions. This enables powerful AI inference at locations that are not always connected to the network, or where low latency and limited computing power are required.