Phase 2: Build & Migrate
A comprehensive inventory and classification of your existing AI/ML workloads, producing a prioritized migration roadmap. The essential first step before any migration.
The Workload Assessment targets customers with existing AI/ML workloads running on legacy infrastructure or other platforms. ISC engineers conduct a comprehensive inventory, classify each workload using proven migration strategies, and produce a prioritized migration plan.
This assessment is a mandatory prerequisite before any Workload Migration engagement -- it protects both you and ISC from scope creep and ensures the migration plan is grounded in reality.
Quick facts
1Workload inventory
Interview workload owners. Capture runtime environment, ML frameworks, GPU requirements, storage needs, dependencies, and MLOps tooling for each workload.
2Classification
Classify each workload into one of four migration strategies based on its current state and target architecture.
3Sequencing
Prioritize by business criticality, technical complexity, resource requirements, and team readiness. Quick wins first.
4Register & review
Compile the Migration Register, conduct risk assessment, and get customer sign-off.
This service is for organizations with existing AI/ML workloads running on legacy infrastructure, other Kubernetes distributions, or cloud-native platforms that need to be consolidated onto PaletteAI.
Typical participants include platform engineering leads, ML engineering managers, and data science directors who need a clear picture of what a migration involves before committing.
Start with a Workload Assessment to understand exactly what you have and what it will take to move.
