Summary
Commvault and NVIDIA have formed a collaboration intended to help enterprises make more of their data usable for AI while keeping it current, authorized, and governed as it moves into AI applications and agents.
As AI applications and agents take on more advanced work, enterprises require trusted data and governance that can move alongside it. According to recent McKinsey research cited by the companies, fragmented data and inconsistent governance are key obstacles to scaling agentic AI, which underscores the need for embedded access controls and security checks as data flows through AI pipelines.
Under the collaboration, NVIDIA NIM microservices and NVIDIA NemotronRetriever are combined with Commvault Data Activate. The planned work uses NVIDIA NIM Nemotron Retriever and NVIDIA cuVS with Apache Solr to extract and organize Commvault protected data made available through Data Activate, making complex content easier for applications and agents to retrieve and use.
Data Activate is designed to continuously update the data available to AI when source data changes or is deleted, retention periods expire, or access permissions change. It also maintains ownership, classification, and lineage, showing where data originated, how it may be used, and who is authorized to access it. Combined, these capabilities are designed to reduce the effort needed to keep data current and governed.
“Customers should get more from the enterprise data they already manage,” said Alan Atkinson, Chief Business Development Officer, Commvault. “Together with NVIDIA, we're helping operationalize data for AI without creating another disconnected data pipeline.”
“Enterprise agents need current, trusted data to turn business knowledge into action,” said Pat Lee, Vice President, Strategic Partnerships, NVIDIA. The reference design for SaaS and software is targeted for early release in December 2026, with general availability planned for 2027.
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