Qubinets

Standing up a vector database, a streaming pipeline and an observability stack on the same cluster is the kind of job Qubinets is built to shorten.

Qubinets is an open-source platform for deploying and managing AI and big data infrastructure, and it runs everything on Kubernetes.

Developers, data analysts and AI engineers get a cloud self-service layer, so they can launch the components they need without writing every deployment by hand.

The supported areas are broad: databases, storage, streaming, identity, observability, search, ML and AI workloads, and cloud-native applications.

That range makes Qubinets more of an infrastructure hub than a single-purpose utility, and it is made for teams working with open-source AI models and large language models who want the surrounding services managed in one place.

Because it sits on Kubernetes, you should expect to be comfortable with that ecosystem or have someone on the team who is.

The open-source licensing means you can inspect how it works before committing to it, which matters when the platform controls your data services and identity layer.