Dedicated GPU compute in Jakarta. Sized from a single partition to a full eight-GPU node, on-demand or reserved.
Start on a partition, move to a full GPU, take a dedicated node when the workload justifies it.
Specifications are indicative. Final configurations and service levels are set in the written agreement.
Capacity runs in Jakarta. Your data stays inside Indonesian jurisdiction for the life of the contract.
On-demand for experimentation and burst work. Reserved for sustained workloads at committed capacity.
Provisioning, monitoring, patching, and hardware replacement are handled by us.
Move between tiers as the workload changes. Partitions suit development and inference; full nodes suit training and large-context serving.
An in-country support team operating in your timezone, reachable directly.
Model size, context length, concurrent users, and whether you are training or serving all change the answer. A 7B model serving a small internal team and a 70B model handling production traffic have very different footprints.
Share the workload and we will identify the appropriate tier, including where a smaller one is sufficient.
Talk Through Your WorkloadShare the workload or the business problem. We respond with the approach, the tier, and the timeline.
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