Assess
Why?
- Even with a data-center-first focus, many workloads benefit from hierarchical processing: edge for low-latency inference and DC for heavy training.
- Seamless data and model flow between edge and DC reduces duplication and enables lifecycle management.
What?
- Define patterns for model syncing, incremental updates, and data aggregation across tiers.
- Standardize secure transport, data governance, and consistency models for hybrid deployments.
- Evaluate orchestration and observability across the full edge-to-DC stack.