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The 2026-09-06 headscale cutover retired irv-ml1's wg0 tunnel IP 10.100.79.3 (now 10.6.110.50). Repointed all LIVE canonical refs to the DNS NAME so the next move can't re-break them: homepage.href/siteMonitor labels across 25 stack composes, load-bearing env defaults (asset-engine INFERENCE_HOST, open-webui AUDIO_TTS_OPENAI_API_BASE_URL, skaldsong SKALDSONG_TTS_BASE_URL, zonos-gateway ZONOS_URL, dia), homepage services.yaml manual cards (Voice Design Studio, IRV-ML1), and servers/irv-ml1/ssh-target. Updated the stale 'WG tunnel' comment to the mesh reality. Left as-is: README curl-examples and .env.example comments (docs), and historical mentions in CLAUDE.md/persistent-memory. NOTE: applying the label repoints to the RUNNING irv-ml1 containers needs a recreate per service (labels read at creation); deployed .env values are separate from these canonical defaults.
irv-ml1
Secondary AI/ML inference host at the Irvine site. Formerly known as
ana-ml1 when colocated at Anaheim; moved to Irvine and slated for
hostname rename to irv-ml1 (OS-side rename pending — see below).
Network
- Reachable IP:
10.100.79.3(WireGuard tunnel endpoint) - No direct LAN access — this host is reachable only via
WireGuard. Tunnel terminates at the NH3 site (10.100.0.0/16 WG
subnet). If WG is down,
scripts/refresh-server-info.sh irv-ml1will fail with "No route to host" — that's a WG issue, not a host issue. - SSH:
ssh irv-ml1(config alias →lkraven@10.100.79.3, key auth).
Pending hostname rename
OS hostname still reports ana-ml1 (both in hostnamectl and in
system-details.txt). To finish the rename:
ssh -t irv-ml1 'sudo hostnamectl set-hostname irv-ml1; \
sudo sed -i "s/ana-ml1/irv-ml1/g" /etc/hosts; \
cat /etc/hosts; hostname'
Then refresh the inventory snapshot so it reflects the new identity. Not blocking anything — services don't care about the kernel's idea of hostname.
Hardware
- Chassis: (TBD — captured on next physical inspection)
- CPU: AMD Ryzen Threadripper 3970X (32 cores / 64 threads)
- RAM: 251.6 GB
- GPUs: 2× (unlike ana-ml2's matched pair):
- GPU 0: NVIDIA GeForce RTX 3090 (24 GB VRAM)
- GPU 1: NVIDIA RTX A6000 (48 GB VRAM)
- Total VRAM: 72 GB across both
- OS: Debian 12 (bookworm), kernel 6.1.0-37
- Storage:
/on/dev/nvme0n1p2— 1.8 TB (78% used, ~393 GB free)/worktank— 462 GB (1% used — dedicated to Docker stacks' user state, e.g. ComfyUI models + workflows)/storetank— 1.8 TB (64% used, ~660 GB free)
What it runs
Native toolchain (/opt, owned by llmuser)
Predates the PFI docker convention; still the primary runtime for the generative-AI stack:
- ComfyUI, SillyTavern, SDNext, fluxgym (image gen / SD)
- alltalk, alltalkv2, bark, kokoro, Orpheus-FastAPI, stablediffusion (TTS + voice)
- llama.cpp, llama-swap, koboldcpp, aphrodite (LLM inference)
- ollama (port 11434 listening on all interfaces) — native binary, not the container
- ai-toolkit, chat-ui, h2ogpt, o-textgen, lollms, bitsandbytes (misc ML frameworks)
- sillytavern-extras, simple-proxy-for-tavern (lkraven-owned)
Docker stacks (/opt/docker/compose/, owned by lkraven)
Docker 29.4.1 with nvidia and runc runtimes. lkraven is in the
docker group. traefik-net external network exists for stacks that
need it.
| Stack | Port | GPU | Role |
|---|---|---|---|
| dockge | 5001 | — | Per-host Compose UI |
| beszel-agent-irv | 45876 | — | Metrics agent → Beszel hub on ana-docker (token mode through WG) |
| dozzle-agent-irv | 7007 | — | Log agent → Dozzle hub on ana-docker |
| comfyui | 8188 | all | ComfyUI (node-based SD/Flux) — runs independently of /opt/ComfyUI native install |
| kokoro | 8193 | all | Kokoro 82M TTS — lowest-latency English TTS, OpenAI-compatible /v1/audio/speech |
| chatterbox | 8196 | 0 (3090) | Chatterbox voice-cloning TTS |
| index-tts | 8192 | all | IndexTTS multilingual TTS |
| qwen3-tts | 8191 | all | Qwen3-TTS — 7B multilingual TTS |
| cosyvoice | 8190 | all | CosyVoice multilingual TTS |
| fish-s2 | 8195 | 1 (A6000) | Fish-Speech S2 TTS |
| kyutai-tts | 8198 | 0 (3090) | Kyutai TTS |
| vibevoice | 8194 | 1 (A6000) | Microsoft VibeVoice TTS |
| voxtral | 8197 | 1 (A6000) | Mistral Voxtral ASR |
| parakeet | 8765 | all | NVIDIA Parakeet ASR (transcription) — bare {"text": …}, no no_speech_prob |
| speaches | 8204 | 1 (A6000) | OpenAI-compatible faster-whisper ASR — verbose_json w/ per-segment no_speech_prob; serves Eyra. VAD pinned OFF, image digest-pinned |
| stable-audio-open | 8211 | 1 (A6000) | Stable Audio Open 1.0 — diffusion SFX/ambience generator |
| ace-step | 8210 | 1 (A6000) | ACE-Step 1.5 — Apache-2.0 hybrid diffusion+LLM music generation |
GPU pinning comes from the compose NVIDIA_VISIBLE_DEVICES default;
all means the model picks at runtime (typically GPU 0). The
asset-engine orchestrator (docs/asset-engine/services.yaml → per-service
lifecycle: block) gates start operations on per-device VRAM headroom.
Exposed Docker socket on *:2375 (for the homepage integration hub on
esh-docker-vm, which auto-discovers containers on this host).
Storage watch
Nothing acute. /storetank dropped from 92% → 64% after a prune pass
on the native-toolchain side; keep an eye on it since model weights
and training outputs accumulate steadily (misbehavior starts around
~95% on either ext4 or ZFS).
Backup coverage
Restic via resticprofile + systemd timer (01:00 daily) → rest-server-nh3
(local to the WG endpoint site; lower latency than crossing back to
ana-side). Profile tracked at configs/restic/irv-ml1/profiles.yaml.
Excludes HuggingFace caches and bulk model files on /storetank
(regenerable from HF Hub).
When the ComfyUI stack ships, /worktank/comfyui/basedir/{user,custom_nodes,input}
should be added to the source set (workflows + hand-installed nodes);
/worktank/comfyui/basedir/{models,output} stay excluded (bulk /
regenerable).
Refresh state
scripts/refresh-server-info.sh irv-ml1
Caveat: requires the WG tunnel to be up. If the refresh shows "No route to host", bring WG up before retrying.