docs: purge the retired workstation from auto-learned memory and the backup snapshot
Finishes the purge. These two surfaces were left out of the earlier commit
because the memory store is auto-generated, but both are read back into every
future session, so the name was still reaching the agent.
58 sites across 16 files: hostname, both LAN addresses, the SSID. Special-cased
the compound names a blind token swap breaks ('dank@the workstation/dankclaw',
'on the workstation/Dankclaw/Dankserver') and reworded the four that came out
ungrammatical. Facts kept: the hardware inventory of the box, the noctalia
architecture history, and today's own purge lessons all survive intact — only
the identifiers are gone.
Non-memory: the tracked .pre-pull-backup snapshot of a managed skill, whose
live counterpart was already clean.
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Host: dankclaw (Strix Halo + 3090) & dankserver (B650-E + R9700s). Models: frank-large (halogen, 524k KV pool, greedy), frank-small (sampling), ik_llamacpp (CUDA/Vulkan split). Infrastructure: Podman Quadlets (persistence), Authentik (Marreta chain). Key Fixes: RCCL requires CPU-attached lanes (M.2_2 riser). Halogen stalls are not crashes. `free` lies about pinned memory.
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Fleet consists of dankserver (2x R9700) and dankclaw (Strix Halo + 3090). LLM units: frank-medium (Qwen3.8-27B, layer-split 35:30, 16GB cache), frank-large (Halogen, 14.4GB KV pool), and frank-small (Gemma4-12B vLLM). Deployment is Quadlet-based with a path-aware planning pipeline. Key technical constraints include RCCL atomic routing, Halogen memory pinning, and the OMP session persistence model.
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