Phase 2: Build & Migrate

Workload Migration

End-to-end migration of existing AI/ML workloads to PaletteAI. Three structured phases ensure nothing falls through the cracks -- from Cluster Profile design through cutover and optimization.

OVERVIEW WHAT YOU GET HOW IT WORKS DELIVERABLES WHO IT’S FOR GET STARTED

Overview

The Workload Migration service executes the end-to-end migration of assessed workloads onto PaletteAI. Migration always follows a completed Workload Assessment and is delivered in three structured phases. Each migration is custom-quoted based on the assessment findings.

Every migration includes a 30-day post-migration support trial so you're never left on your own during the critical stabilization period.

The outcome: your production AI workloads running on PaletteAI without business disruption, with your team trained to operate them.

What you get

Full migration of assessed workloads to PaletteAI
Cluster Profiles designed per workload class
Data and storage migration
GPU verification and optimization per workload
Monitoring and alerting integration
Operational runbooks (7 standard runbooks)
Team enablement sessions
30-day post-migration support trial

Storage and network are wired for full-speed AI - NFS-over-RDMA validated at ~90% of line rate, 44 GB/s peak storage throughput on customer hardware (ISC field-engineering validation, 2026).

Quick facts

Phase 2: Build & Migrate

Prerequisite: Workload Assessment

Leads into: Support Retainer or Managed Service

How It Works

Cluster Profile Preparation & Packaging

Design Cluster Profiles per workload class. Package workloads by migration strategy (Rehost, Re-package, Re-platform, Re-architect). Prepare data and storage. Validate everything in non-production.

Migration Execution

10-step per-workload checklist: pre-migration snapshot, cluster profile deployment, namespace/RBAC setup, storage provisioning, workload deployment, GPU verification, network validation, monitoring integration, functional validation, performance baseline. Full rollback procedures for every workload type.

Post-Migration Optimization & Handover

GPU utilization optimization (right-sizing, MIG, time-slicing, Kueue). Observability and alerting setup. Operational runbooks. Team enablement sessions. 30-day post-migration support trial.

Deliverables

All assessed workloads running on PaletteAI
Cluster Profiles and Helm charts per workload
Migration validation report per workload
GPU optimization report with right-sizing recommendations
7 operational runbooks
Monitoring dashboards and alert configurations
Team enablement session recordings and materials

This is for you if...

This service is for organizations that have completed a Workload Assessment and are ready to execute the migration. It's designed for teams that need expert hands to move production AI/ML workloads without disruption.

The migration team works closely with your platform engineers and data scientists throughout the engagement.

Migrate with confidence

Every migration starts with an Assessment. Contact us to scope your project.

Start with a free assessment