# Multi-TenancyCon

Multi-tenancy can simplify deployment, monitoring, and cloud environment updates, reducing operational overhead and enhancing resource utilization. But implementation isn't exactly straightforward. Join Rafay at Multi-TenancyCon and learn from practitioners about pitfalls to avoid and best practices on how to adopt Multi-Tenancy in your cloud-native environment.

## Session Highlight:
**Designing a Multitenancy Kubernetes Strategy That Fits Your Organization**  
Naveen Chakrapani, Rafay Systems & Michael Quale, Accenture

# Featured Resources

[Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud](/content/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud/index.html)  
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

[GPU Cloud Evaluation Report](/content/resources/white-papers/gpu-cloud-evaluation-report/index.html)  
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.

[From GPUs to Revenue: A Practical Guide to AI Factory Builds](/content/resources/white-papers/from-gpus-to-revenue-a-practical-guide-to-ai-factory-builds/index.html)  
This white paper breaks down what it actually takes to turn GPU investments into measurable business outcomes.

[AI Token Factory](/content/resources/datasheets/ai-token-factory/index.html)  
AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption. Production-ready AI APIs run on GPU infrastructure while maintaining governance, multi-tenancy, and operational control. Token-metered consumption provides visibility into usage and enables internal chargeback or monetization models.