Kubexa

work in progressThis site is being written now: pages appear and change as the cluster does. The AI layer is the most incomplete part.

The four machines

CPU, memory, GPU and role for every node, from the capacity the API server reports.

nvidiakubernetes

Values below are status.capacity from the API server, not the marketing sheet, so they are what Kubernetes will actually schedule against.

node kind cpu memory gpu site
baremetal-controlplane physical Ryzen 9 9950X, 16C/32T 60.4 GiB - svt
baremetal-worker1 physical Ryzen 9 5950X, 16C/32T 62.7 GiB 3 x GA107 svt
oracle-controlplane OCI VM 4 vCPU, Ampere 23.4 GiB - eu-frankfurt-1
nix-desktop-controlplane libvirt VM 4 vCPU, Ryzen 5 8600G host 5.8 GiB - home

All four run Talos v1.14.4, amd64 except oracle-controlplane, which is arm64.

Three nodes are control-plane, one is a plain worker. The desktop VM is cordoned (SchedulingDisabled) and holds only etcd quorum duty, because 5.8 GiB is not enough to be useful and the noise of a desktop is not worth the capacity.

The GPU node

baremetal-worker1 carries three GA107 cards (RTX 3050 6 GB class) exposed as nvidia.com/gpu through the GPU operator. Three cards on one machine is why model serving and image generation run there and not elsewhere.

The odd node out

oracle-controlplane is the only arm64 machine and the only one with a public address. Both facts leak into manifests: anything with a prebuilt amd64 image pins the architecture, and anything that must be reachable from the internet has to land where the OCI NAT forwards.

Local routers

The svt machines sit behind a GL.iNet Flint 3 running OpenWrt, which is also a Tailscale subnet router and a NetBird peer. The desktop VM sits behind libvirt on 192.168.122.0/24. Neither router is managed by Kubernetes; both are Ansible playbooks in this repository.