Pinnacle Group Holdings

Service 01

GPU Compute Rental

NVIDIA B300 / GB300 compute capacity leased to enterprises and AI teams on a standardised equipment rental model.

Capacity is leased to small and medium enterprises and AI startups across the Asia-Pacific region for AI model development, training and inference workloads.

The buyer engages on a standardised equipment rental model: rent is charged according to the lease term, and ownership of the equipment remains with the buyer.

Workloads we support

    01AI model development
    02Model training
    03Inference at scale
    04Fine-tuning and evaluation

Compute platform

NVIDIA B300 / GB300

  • NVIDIA B300
  • NVIDIA GB300

We supply NVIDIA B300 / GB300 GPU compute platforms and GPU servers. Rental unit, cluster topology, storage, interconnect and network specification are defined per project.

Rental unit
Defined per project
Network / storage / interconnect
Defined per project
Rack power & cooling
Defined per project
Service level
Agreed per project

Hardware availability, configuration, delivery time and service location are subject to project assessment and confirmation.

Who it is for

  • AI startups

    Teams that need training capacity without committing capital to their own cluster.

  • Small and medium enterprises

    Organisations adopting AI internally who need predictable, contracted compute.

  • Technology partners

    Providers integrating rented capacity into their own platform or service.

Commercial models

Five Ways to Engage

Scope, minimum unit and pricing are confirmed per project.

  • 01

    GPU Rental

    Monthly or hourly rental of GPU compute capacity.

  • 02

    Compute Subscription

    Enterprise subscription to reserved compute capacity.

  • 03

    AI Infrastructure Setup Fee

    One-off construction and setup of the AI infrastructure environment.

  • 04

    Hosting Fee

    Data center hosting for customer-owned or leased equipment.

  • 05

    Managed Service Fee

    Ongoing managed operation of the deployed environment.

Next step

Tell us your workload. We will scope the infrastructure.

Share your GPU model preference, capacity, deployment region and timeline. Our team will return an initial assessment.

Request a Consultation