Frank 65fbef63dc docs: what the x4 pair can and cannot do — measured, not argued
The design we sketched (trunk + KV on the 3090, MoE experts on the iGPU) is not
expressible in mainline llama.cpp. Per-tensor cross-backend placement aborts in
the scheduler -- "pre-allocated tensor (blk.0.ffn_down_exps.weight) in a buffer
(Vulkan1) that cannot run the operation (NONE)" -- and both per-layer
cross-backend forms fail at load. CUDA + Vulkan cannot serve one model; the CPU
is the only fallback side that works, which is exactly why -ot exps=CPU runs.

What the same build does instead is the surprise: iGPU-only (Vulkan/RADV, PLE in
page cache) gives 32.64 tok/s shallow, 25.77 tok/s at 64k depth and 456.7 tok/s
prefill, with the 3090 idle at 0 %. That matches halogen's deployed ~25 tok/s --
but commits 116 of the host's 121 GiB against halogen's 95.4 held with 14.7
spare, so it is not deployable beside the co-tenants. Throughput parity, memory
bankruptcy: the fleet's two-endpoint split stands, now on evidence rather than
preference.

New page LLM/x4-pair-experiment.md carries the tensor inventory, the results
table, the two scheduler limits, reproduction commands, and the traps found on
the way. Both index pages also stop calling halogen retired -- the ik swap's
stale claims were still sitting in them.
2026-09-16 17:40:37 -07:00

Server App Configs

The single repository for the two homelab servers: the Podman container stacks and the LLM inference fleet. One repo, one checkout per host, one deploy script.

2026-08-22: the former vllmScripts repository (LLM fleet) is merged into this repo with its full git history. See AGENTS.md for the merge note.

Targets

Host User IP Podman stack LLM service LLM port
dankserver dank 192.168.0.235 media and library frank-medium (ROCmFPX llama.cpp, Qwen3.8-27B AGENT) 7770
dankclaw dank 192.168.0.143 AI, search, development, observability frank-large (CIRU ROCmFPX, Qwen3.8-27B) 7770

Active Services

Service Host Hostname Port
RomM dankserver romm.dankserver.local 8085
Copyparty dankserver files.dankserver.local 3923
Calibre-Web dankserver books.dankserver.local 8083
frank-medium dankserver — (bare endpoint) 7770
SearXNG dankclaw search.dankclaw.local 8081
ComfyUI dankclaw comfyui.dankclaw.local 8188
OpenWebUI dankclaw chat.dankclaw.local 3000
Hermes dankclaw hermes.dankclaw.local 8090
Gitea dankclaw gitea.dankclaw.local 3001
Grafana dankclaw grafana.dankclaw.local 3002
Prometheus dankclaw prometheus.dankclaw.local 9090
frank-large dankclaw — (bare endpoint) 7770

Structure

  • dankserver/ — compose.yaml + Caddyfile + .env.example for the Dankserver stack
  • dankclaw/ — compose.yaml + Caddyfile + .env.example for the Dankclaw stack
  • shared/ — homepage, prometheus config, deploy helpers
  • scripts/ — deploy.sh and deploy-remote.sh (service-scoped deployment), the planner, LLM serve scripts, systemd units, env tunables, and bench harnesses
  • old/ — retired PP/NPU-era LLM scripts (reference only)
  • serverAppConfigs-docs/ — project knowledge base (Obsidian vault, wikilinks). serverAppConfigs-docs/LLM/ is the LLM fleet
  • tests/ — bats test suite (see Testing Policy)

Deployment

See serverAppConfigs-docs/Architecture/Deployment Flow.md and serverAppConfigs-docs/LLM/deployment.md. Run ./scripts/deploy.sh <dankclaw|dankserver> after committing changes. It plans and deploys only the changed services. Use --service NAME for an explicit single-service retry; inference is restarted only when its own files (or the shared chat template) changed.

Knowledge Base

The serverAppConfigs-docs/ directory is an Obsidian vault. Start at serverAppConfigs-docs/index.md. The LLM fleet knowledge base lives at serverAppConfigs-docs/LLM/index.md.

Testing

Run ./tests/run.sh before every push. See serverAppConfigs-docs/Architecture/Testing Policy.md.

S
Description
Podman deployment configs for Dankserver and Dankclaw
Readme
8.2 MiB
Languages
Shell 60.4%
Python 21%
HTML 6.2%
Jinja 3.9%
C++ 3.9%
Other 4.6%