Platform

Cloud Platform & Kubernetes

Your containers and schedulers, on nodes somebody else keeps healthy.

Between raw hardware and a working pipeline sits a layer nobody enjoys owning: GPU drivers, firmware, kernel modules, fabric configuration, node health. We own it. You get a Kubernetes cluster with role-based access and a namespace of your own, and you keep control of what runs inside it.

A workstation in a data hall showing a cluster scheduling view, with racks visible through the glass behind it.
Scope

What the engagement covers

  • Kubernetes clusters on dedicated GPU nodes

  • GPU driver, firmware and kernel module lifecycle

  • Role-based access control, multi-tenant ready

  • Node and fabric health surfaced through RCS

Where the line sits

What you own, and what we own

LayerOwner
Images, schedulers and pipelinesYours. We do not look inside the namespace. Supported add-ons on request.
Kubernetes control planeOurs. Version and upgrade cadence agreed per engagement — on request.
GPU drivers, firmware, kernelOurs. Maintenance windows on request.
Node, fabric and facility healthOurs, watched through RCS. Alerting routes and escalation on request.
Commercial termsTerm, minimum commitment and rate on request.

Cluster sizing, Kubernetes version and upgrade cadence are agreed per engagement rather than published — the right answer depends on what your pipeline already expects.

Related services

The rest of the lifecycle

Compute

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.

 Observability

Observability & 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.
Get started

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 →