Databricks is reportedly pursuing a new funding round that could push its valuation above $130 billion, up from about $100 billion as of September, signaling a major re-rating of AI infrastructure players.

No term sheet has been signed yet, and the company declined to comment on the report, indicating early-stage fundraising chatter rather than a closed deal.

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Databricks’ strategy emphasizes model access through partnerships, notably a multi-year deal with Anthropic to integrate Claude models into its platform rather than building its own large models.

CEO Ali Ghodsi has steered capital toward a dedicated AI agent database and an expanding AI agent platform, signaling a move to AI-driven data management and governance.

Ghodsi highlights a broader industry shift toward AI-generated databases and increasing AI involvement in database creation and management.

The fundraising context comes amid notable exits by major investors like Thiel Macro LLC and SoftBank from Nvidia, fueling market skepticism about AI hype.

Ongoing investor activity and exits in Nvidia and other AI players reflect mixed signals about sector profitability and sustainability.

Co-founder Andy Konwinski warns the U.S. risks losing AI research leadership to China, framing it as a democracy-related existential threat tied to open-source versus proprietary dynamics.

Databricks centers its strategy on Lakehouse architecture, enabling scalable storage, multi-cloud deployment, and data governance across industries for AI training and applications.

Databricks counts Microsoft, Anthropic, Google Cloud, SAP, and Palantir among partners, serving more than 20,000 organizations including Block, Comcast, Conde Nast, Shell, and Rivian.

The 2023 MosaicML acquisition strengthened its model-training capabilities, reinforcing the platform’s competitive moat in AI infrastructure.