SurrealDB unifies your entire context layer in a single multi-model engine — one query language, one transaction, one deployment. Stop stitching databases together.
Documents, graphs, vectors, and time-series are native primitives in one query. No stitching across systems.
Auth, permissions, API endpoints, live queries, and event triggers. The database is the backend.
Graph updates, document writes, and vector index changes happen in a single transaction. All succeed or none do.
SurrealQL composes graph traversal, vector search, and temporal filtering in a single statement. No multi-system orchestration.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
The context layer for AI agents
Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.
Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead
Learn about Nebius AI CloudNebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.
Explore the Trust centerApplication support
Provided by SurrealDB. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
