Frank
6c6464a31a
Isolated-port (:7790) 2k-token decode with AVG rocm-smi util over the request (peak util lies: a layer split touches both cards every token): 35:30 draft ROCm1 31.52 t/s util0 41% util1 98% <- deployed 36:29 draft ROCm1 31.49 t/s util0 43% util1 98% 35:30 draft ROCm0 31.52 t/s util0 42% util1 98% 36:29 draft ROCm0 31.48 t/s util0 43% util1 98% The x1 card (ROCm1) stays the 98% bottleneck in every configuration. Moving the MTP drafter to the x16 card does not flip the balance: the per-step cost is the verify phase (both cards run the full target) plus the logits, which are pinned to the card holding the last layers. A target-layer move (36:29) buys 2 points on the x16 card and erodes its VRAM margin (fit free 0.45 GiB) for no throughput change. The x1 card is compute-bound, not PCIe-bound (~5.2 MB activation per ubatch on the link), so saturating it costs no tokens. 35:30 is the balance; no split change.
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
vllmScriptsrepository (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 stackdankclaw/— compose.yaml + Caddyfile + .env.example for the Dankclaw stackshared/— homepage, prometheus config, deploy helpersscripts/—deploy.shanddeploy-remote.sh(service-scoped deployment), the planner, LLM serve scripts, systemd units, env tunables, and bench harnessesold/— retired PP/NPU-era LLM scripts (reference only)serverAppConfigs-docs/— project knowledge base (Obsidian vault, wikilinks).serverAppConfigs-docs/LLM/is the LLM fleettests/— 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.