CoreWeave, Inc., the Essential Cloud for AI®, today announced the general availability of CoreWeave Database. The managed PostgreSQL service runs inside customers’ CoreWeave Kubernetes Service (CKS) clusters, right beside their training and inference workloads. With CoreWeave Database, AI teams get a production-ready relational database on the same platform as their GPUs. The service includes high availability, continuous backups, and point-in-time recovery.
Why AI Teams Need a Database Close to Compute
Nearly every AI stack relies on a relational database. It stores application state, workflow metadata, and experiment tracking. However, teams building on CoreWeave previously had two options. They either operated PostgreSQL themselves or kept it in another cloud. That choice added a network hop, an egress path, and a second environment to secure.
Moreover, that distance grows as AI moves into production. Agents read and write state between tool calls. Training jobs log experiment metadata. Retrieval-augmented generation (RAG) services query embeddings. Each of these steps hits the database. As a result, latency and operational overhead compound when calls cross clouds. CoreWeave Database closes that distance.
“AI in production runs on more than GPUs. It runs on the application state, metadata, and embeddings that agents and training pipelines touch on every step,” said Corey Sanders, SVP of product, CoreWeave. “CoreWeave Database puts that data in the same cluster as the compute that depends on it, operated by CoreWeave so teams can spend their time on models instead of database operations. It extends The Essential Cloud for AI to the full production stack.”
CoreWeave Database is fully compatible with PostgreSQL. Therefore, teams can migrate existing databases from another cloud or a self-managed deployment using native Postgres tools. CoreWeave operates replication, failover, patching, and backups. Meanwhile, customers retain ownership of their data, schemas, queries, and database users.
Key Capabilities of CoreWeave Database
- In-cluster placement: Databases run on CPU nodes in the customer’s CKS cluster. They connect through an in-cluster Kubernetes service. Teams manage no cross-cloud link or egress path.
- High availability: Each database runs a primary instance and read replicas spread across hosts. Automatic failover keeps services running. Live data sits on CoreWeave Distributed File Storage (DFS).
- Built-in data protection: CoreWeave backs up every database continuously by default. Teams can recover to any moment within the retention window. In addition, they can schedule backups, run on-demand backups, and restore fully to a new cluster for validation.
- Private and encrypted by default: Databases stay private to the cluster. Data is encrypted at rest and in transit. CoreWeave manages TLS certificates and security patches. Customers control access through native PostgreSQL roles, Kubernetes network policies, and audit logging.
- Vector search for AI workloads: CoreWeave Database supports pgvector. Teams can store embeddings and run vector search for RAG and semantic retrieval in the same database as their application data. They need no separate vector store.
“Migrating our biomedical literature database from another cloud to CoreWeave Database was straightforward, and the CoreWeave team helped us get to production quickly,” said Mike Mattacola, CEO, Advaita Bio. “We’ve really appreciated their hands-on support every step of the way. Our managed PostgreSQL now runs alongside the applications that depend on it, and we’re confident our data is encrypted, private, and backed up.”
Built on Open-Source PostgreSQL Technology
CoreWeave Database leverages CloudNativePG (CNPG), the open-source Kubernetes operator for PostgreSQL. CNPG handles primary and replica management and failover. CoreWeave then adds the managed service around it. That includes Console and Kubernetes workflows, DFS, managed backups, monitoring, and ongoing operations.
Furthermore, CoreWeave contributes upstream to the PostgreSQL ecosystem. Recent work includes S3 compatibility improvements in Barman, the open-source backup and recovery tool. It also includes connection configuration improvements in pgexporter, a Prometheus exporter for PostgreSQL metrics.
Finally, the launch extends CoreWeave’s platform beyond compute into the services production AI applications depend on. It builds on the company’s standing as the only AI cloud to earn the top Platinum ranking in SemiAnalysis ClusterMAX™ three times in a row.
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News Source: Businesswire.com
