AI Compute
Built by Us, Scaled for You. Deploy your GPU cloud instantly on our self-managed clusters. Whether launching your first platform or scaling existing workloads to meet enterprise demand, we deliver the power and reliability you need.
What the engagement covers
-
Whole GPU nodes reserved to you, not shared with another tenant
-
InfiniBand or RoCEv2 / RDMA interconnect between nodes
-
Enterprise storage, sized for training workloads
-
Workloads pinned to a named facility in a named market
Platforms in service — configuration quoted per engagement
| Layer | In service, and how to get it |
|---|---|
| GPU platform | Multiple GPU platform generations in service. Available capacity on request. |
| Interconnect | InfiniBand, or RoCEv2 / RDMA over Ethernet. Fabric per cluster on request. |
| Storage | Enterprise storage, sized for model training workloads. Capacity on request. |
| Node configuration | Sized against the workload. On request. |
| Region | Singapore, Malaysia, Indonesia and Taiwan. Available capacity on request. |
| Commercial terms | Term, minimum commitment and rate on request. |
We do not publish a rate card. Capacity, node configuration and term are quoted against the workload — tell us what you need to run, and which market it has to sit in.
The rest of the lifecycle
Cloud Platform & Kubernetes
Bring your own images, schedulers and pipelines. You get a Kubernetes cluster and the namespace; we keep the nodes, drivers and fabric underneath healthy.
ObservabilityObservability & Monitoring
RCS — our own monitoring platform, purpose-built for AI infrastructure. You watch your own GPUs, fabric and storage through the same pane of glass our engineers do.
Tell us what you need to run.
Share your workload requirements, market focus, and timeline. Our expert teams across Taiwan, Singapore, Malaysia, and Indonesia will design the optimal compute service—leveraging our existing GPU capacity or building a dedicated infrastructure tailored to your needs.
Talk to our team →