Redis is an in-memory data platform for low-latency caching, session storage, vector search, real-time context for AI applications, and event-driven workloads. Deploy Redis 8.x on Nebius Managed Service for Kubernetes as a standalone Helm application with persistent storage and optional password authentication.
Serve frequently accessed data with sub-millisecond response times.
Build semantic search, recommendations, and RAG retrieval workflows.
Store session context, preferences, and recall data for AI applications.
Use streams, pub/sub, JSON, time series, and probabilistic structures.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Deploy Redis on Kubernetes for low-latency caching, vector search, and real-time data workloads.
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 Redis. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
