What is multi-tenancy in an AI workplace?
Multi-tenancy in an AI workplace refers to a software architecture where a single instance of an AI application serves multiple customers or "tenants." Each tenant's data and configuration are kept separate but share the same underlying infrastructure and codebase.
Benefits of Multi-Tenancy
- Cost-effective as it allows the sharing of resources across multiple clients
- Easier maintenance and updates, as changes are applied to a single instance
- Scalability, as it's easier to add new tenants without significant infrastructure changes
- Efficient use of computing resources
- Potential for data aggregation and cross-tenant insights (with proper privacy measures)
