Machines
Compute machines and capacity across regions — the nodes of your clusters.
Machines
Machines are the compute nodes that back your workloads — the individual servers in your Kubernetes clusters, across regions. There is no separate machine pool to manage: machines are projected directly from your cluster node pools.
Machines Are Cluster Nodes
Every machine belongs to a cluster — either shared Hanzo Cloud or your own dedicated DigitalOcean Kubernetes (DOKS). A cluster declares one or more node pools (a machine size and a count); the operator reconciles those pools into running nodes, and the Machines page projects each node from its pool.
GPU node pools additionally surface as GPUs; everything else is general-purpose CPU and memory capacity.
Regions
Clusters — and therefore machines — are placed in a region close to your users:
| Region | Location |
|---|---|
nyc1, nyc3 | New York |
sfo3 | San Francisco |
ams3 | Amsterdam |
fra1 | Frankfurt |
Related
- GPUs — accelerated machines and their telemetry
- Pipelines — deploy workloads onto your machines
- Edge — run inference off-cluster, on-device
- API Keys · API Reference
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