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.
What the engagement covers
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Kubernetes clusters on dedicated GPU nodes
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GPU driver, firmware and kernel module lifecycle
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Role-based access control, multi-tenant ready
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Node and fabric health surfaced through RCS
What you own, and what we own
| Layer | Owner |
|---|---|
| Images, schedulers and pipelines | Yours. We do not look inside the namespace. Supported add-ons on request. |
| Kubernetes control plane | Ours. Version and upgrade cadence agreed per engagement — on request. |
| GPU drivers, firmware, kernel | Ours. Maintenance windows on request. |
| Node, fabric and facility health | Ours, watched through RCS. Alerting routes and escalation on request. |
| Commercial terms | Term, 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.
The rest of the lifecycle
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.
OperationsManaged Operations
Capacity nobody hands over and walks away from. Local L1 and L2 engineers run it round the clock, on a contractual SLA with structured incident and RMA processes.
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 →