Frank 25df9d05a2 feat(frank-tts-engine): synthesize on the gfx1151 iGPU via Vulkan
The NPU path is a dead end for this payload (verdict:
report/tts-npu-spike-verdict-2026-10-19.md); the iGPU is the accelerator that
exists on this box today, and it is already shared with frank-dragoon.

- Containerfile.engine: -DGGML_VULKAN=ON, plus the three packages the door
  needs to configure — libvulkan-dev, spirv-headers, and glslc, which Ubuntu's
  glslang-tools does NOT ship (find_package(Vulkan COMPONENTS glslc REQUIRED)
  fails without it) — and libvulkan1 + mesa-vulkan-drivers (the RADV ICD) at
  runtime. No NVIDIA ICD on purpose: one Vulkan device in the enumeration is
  what makes the NAME Vulkan0 safe to write down.
- tts-engine-start.sh: QWENTTS_DEVICE -> --device, default Vulkan0. A value
  that is set but EMPTY passes no flag at all, which is the CPU rollback; that
  is why the default is written as an -v test and not with :=, because := also
  fires on an empty value and would silently undo the rollback.
- quadlet: AddDevice=/dev/dri + GroupAdd=keep-groups (a rootless container that
  drops its supplementary groups enumerates no render device). The node is not
  named: this host is hybrid, renderD128 is the NVIDIA card and renderD129 the
  amdgpu iGPU.
- env: QWENTTS_DEVICE=Vulkan0 plus the device law in the header, including the
  rollback line.
- tests: the two CPU-only assertions now assert the Vulkan shape, and a new one
  pins the rollback (empty device => no --device in argv). 451/451 green.

Measured before writing any of it: the configure in the digest-pinned base
answers "Found Vulkan: ... found components: glslc" and "Including Vulkan
backend"; gate 1 (RADV GFX1151 visible to a rootless container off this base)
is recorded in the verdict report.
2026-10-19 14:26:58 -07:00
2026-10-15 18:22:22 -07:00

Server App Configs

AI Disclosures:

  • Slop rating: 2/5 - Actively using, actively de-slopping, repository mostly human owned, lacks formal process.
  • Completeness: Unfinished, planning planned, no plan yet
  • Datacenter model/spend: Less than $20 of Deepseek 4.1 Flash and GLM-5.3-Flash
  • Local model: Qwen 3.8 Flash Next

slop rating of 2 or lower indicates human reading is a worthwhile exercise, and that Frank has read the code and knows the architecture.

slop rating of 2 indicates that while this project is human owned, no human contribution process exists and/or release is agentically driven.

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-dragoon (gufo, Qwen3.8-27B UD-Q8_K_XL) 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-dragoon 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%