CoreWeave Database Launches So AI Teams Can Build, Run, and Scale Production Applications on One Platform
Business Wire•11/11/2026•08:00 ET
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Key Highlights
- ➤CoreWeave Database generally available as managed PostgreSQL inside CKS clusters
- ➤In-cluster placement removes cross-cloud links and egress paths for AI workloads
- ➤High availability includes replicas, automatic failover, continuous backups, and point-in-time recovery
- ➤pgvector enables embedded vector search without a separate vector store
- ➤Advaita Bio migrated its biomedical literature database from another cloud to CoreWeave Database
Expert Statements
Corey Sanders, SVP of product, CoreWeave
“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.”
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.”
Mike Mattacola, CEO, Advaita Bio
“Migrating our biomedical literature database from another cloud to CoreWeave Database was straightforward, and the CoreWeave team helped us get to production quickly.”
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.”
CoreWeave Database Launches So AI Teams Can Build, Run, and Scale Production Applications on One Platform
CoreWeave Database places a fully managed, PostgreSQL-compatible database inside CoreWeave Kubernetes Service clusters, removing the cross-cloud hop between AI applications and the data they depend on
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