COMPUTE LEASING

Compute resources
shaped around workloads.

Coordinate GPU, rack, power and network requirements around AI training and inference, with configuration and delivery arrangements.

Industry image of resource connectivity
01

Understand the workload

Training and inference place different demands on compute, data access and networking. Initial discussions should clarify task type, expected scale, usage period and the existing technical environment.

02

Define resources and deployment conditions

Discuss compute configurations and supporting infrastructure in the context of the project.

  • Compute: GPU requirements, task types and resource usage.
  • Deployment: location, racks, power, network and data connections.
  • Delivery: timeline, supporting environment and verification scope.
03

From configuration to delivery and operations

Once requirements and resource conditions are clear, the parties can agree configuration, delivery plans, verification and operating support. Equipment, availability and commitments depend on project verification and agreement.

NEXT STEP

Bring your needs into focus.

Discuss your requirements