Building an AI factory? Learn how the Rafay Platform's Token Factory capabilities can monetize AI services.

[READ PRESS RELEASE](/content/press-release/rafay-systems-transforms-gpu-providers-into-ai-factories-by-empowering-them-to-monetize-token-metered-access-to-ai-models/index.html)

# White paper

## 10 Multi-Tenancy Best Practices for Namespaces as a Service (NaaS)

Creating separate Kubernetes clusters for each application seems simple, but proves inefficient due to resource wastage, increased costs, and complex management. Individual clusters consume resources redundantly, escalate operational overhead, and impede scalability. Multi-tenancy – that is, using namespaces to run multiple application environments on a single Kubernetes cluster concurrently – can help. But multi-tenancy across a large number of users or departments, sometimes across separate infrastructures, can be extremely difficult and risky. It involves managing intricate aspects like resource allocation, access control, and security measures. If mastered, organizations can significantly reduce cloud costs (as observed by Rafay customers with a 63% savings) and optimize cloud resource utilization. The white paper promises to delve into Kubernetes multi-tenancy best practices, aiming to guide organizations in leveraging Kubernetes effectively for improved resource utilization and cost efficiency.

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[View the report](https://info@rafay.co/resources/white-papers/multi-tenancy-best-practices-for-namespaces-as-a-service)

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