Choose where workloads should run and how they will be supported. Express Projects connects cloud and on-site platforms with migration planning, virtualization and the infrastructure needed for AI applications.
Services within this solution
What to prepare
- Application inventory, workload dependencies and platform requirements
- Locations, business owners and delivery constraints
- Change windows, acceptance criteria and operating contacts
What you receive
- Agreed architecture and service scope
- Delivery sequence, responsibilities and acceptance criteria
- Validation findings and operating handover
Explore the project structure
Place each workload using its dependencies, data needs and operating model. Account boundaries and regional availability need their own checks.
Conceptual planning view. Final architecture is agreed for the project.Design around your business
Assess application dependencies, data location, identity, connectivity, capacity and licensing before choosing platforms. Compare retained infrastructure with cloud services and AI compute requirements. Define representative workload checks and recovery decisions for the proposed transition.
Build the service scope
Combine cloud migration, managed cloud, virtualization and AI infrastructure services. Separate equipment and platform operations from application development, model training and specialist facility work; confirm each responsibility in the scope.
- Cloud migration and managed cloud
- Virtualization and hybrid infrastructure
- AI infrastructure planning, deployment and operations
Coordinate delivery across APAC
Plan delivery across Asia Pacific, with a focus on China, Hong Kong and India. Agree each site’s access, providers, technical owners and change windows. Coordinate regional dependencies while confirming local availability, delivery arrangements and continuing support for the proposed engagement.