Attaching RP6000 GPU Nodes to an Existing Deployment

Q: Can I attach RP6000 GPU nodes to an existing OpenMetal bare metal or Hosted Private Cloud deployment?

Yes, you can attach RP6000 GPU nodes to an existing OpenMetal Hosted Private Cloud or bare metal footprint, joined to the same private network as your current compute and storage.

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This is the path for teams already on OpenMetal that want to add AI inference or training next to their existing applications and data, without a separate environment or a second vendor. Attached RP6000 nodes are provisioned as dedicated single-tenant bare metal servers and joined to your existing private VLANs, so they sit beside your application servers, databases, and Ceph storage with low-latency, unmetered east-west traffic.

A common pattern is adding RP6000 inference nodes next to an application cluster so services call local inference endpoints over the private network, with no public round-trip and no per-GB egress between app and model. Each node carries full root access and IPMI, like the rest of your footprint, on the same fixed monthly pricing.

For larger multi-node GPU builds, the same approach scales into a dedicated GPU cluster.