Multi-tenancy architectures for ML
Watch an October 2022 webinar on ML multi-tenancy, isolation models, resource sharing, observability, and architecture trade-offs.
What's in this video
- This webinar recording from October 2022 introduces multi-tenant architecture for machine learning systems.
- It reviews when teams use multi-tenancy and how traditional software practices apply to MLOps.
- The session compares isolation models, resource sharing, performance, and complexity trade-offs.
- It also discusses monitoring model performance, data drift, system health, data isolation, and access controls across tenants.