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LIVINGSTON, New Jersey, United States, November 12, 2026 — AI cloud infrastructure provider CoreWeave has introduced CoreWeave Database, a managed PostgreSQL-compatible service designed to run alongside customers’ AI training and inference workloads. The service became generally available on November 11 and is intended to help developers manage application data without maintaining a separate database environment in another cloud.
The launch expands CoreWeave’s offering beyond GPU computing into the software infrastructure required to operate production AI applications.
Database Services Integrated With AI Compute
CoreWeave Database runs inside customers’ CoreWeave Kubernetes Service clusters, placing relational data close to the applications and AI workloads that depend on it. The company says this can remove the additional network connection and separate security environment that may be required when databases are hosted with another provider.
The service is compatible with PostgreSQL, allowing customers to use existing database tools and migrate from self-managed or third-party deployments. CoreWeave manages replication, failover, patching and backups, while customers retain control over their data, schemas, queries and database users.
Built for Production Workloads
The platform includes high-availability configurations, continuous backups and point-in-time recovery. It also supports pgvector, allowing developers to store embeddings and run vector searches alongside application data used in retrieval-augmented generation workflows.
These capabilities target a practical requirement for AI applications. Production systems need more than access to GPUs: they also rely on databases to store user information, maintain workflow state, track experiments and support the repeated operations performed by AI agents.
CoreWeave said the service keeps databases private to customer clusters and encrypts data both at rest and in transit. It also uses CloudNativePG, an open-source Kubernetes operator for PostgreSQL, as part of its underlying database management architecture.
Competition Moves Beyond GPU Capacity
The launch reflects a broader shift in competition among AI cloud providers. As customers deploy AI applications at scale, infrastructure companies are seeking to offer more of the software stack required to build and operate those products.
For CoreWeave, an integrated database service could make its platform more attractive to developers who want compute, data storage and operational management in one environment. Customers will still need to assess service costs, portability and performance under their own workloads.
The general availability of CoreWeave Database gives AI developers another managed option as infrastructure providers compete to become the foundation for production AI systems.
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