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nexa/docs/12-optimization-opportunities.md
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Claude 12ed4426e0 Refine capacity numbers from LXC 104 summary; flag iGPU passthrough fix
- LXC 104 (docker) confirmed: 16 CPU, 31.25 GiB RAM (7.86 used / 25%),
  200 GiB boot disk at 47.7% — disk is the real near-term constraint,
  not RAM. Numbers propagated into Q11 (docs/11), docs/03 architecture
  table, and CLAUDE.md infra block.
- New optimization #26 in docs/12: fix the Intel Arc iGPU passthrough
  flagged as broken in the LXC notes. Concrete /etc/pve/lxc/104.conf
  snippet provided. Once working, TEI / infinity / Immich CLIP can run
  GPU-accelerated for ~5–10x throughput.
- New optimization #27: disk-pressure mitigation playbook (move Qdrant
  to unas if it grows, prune docker layers monthly, cap n8n executions).
- New optimization #28: shrink the LXC's 8 GiB swap to 2 GiB.
2026-05-04 22:10:51 +00:00

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12 — Optimization Opportunities

Observations from the running infrastructure. Each item is independent — accept, defer, or reject.

For Nexa directly

  1. Reuse, don't redeploy. The earlier DEPLOYMENT.md would have spun a second Memos / n8n / Qdrant. The current homelab already runs all three. The new 09-deployment treats these as pre-existing — keeps the config minimal and avoids port collisions.
  2. Use LiteLLM virtual keys per logical caller. Today there's one SAIA key. Issuing one key per workflow (nexa-router, nexa-embed, nexa-digest) lets you set different per-key rate/cost limits and disable a single workflow without rotating everything.
  3. Use n8n's credential objects, never inline secrets. The current workflows under nexa-core/n8n-workflows/phase-1/*.json should be reviewed — if any header Authorization is hardcoded, replace with credential references before importing.
  4. Centralise system alerts on a single ntfy topic (nexa.system). Backrest, Proxmox notifications, n8n failure-webhook and the Octoprint Exited state all go to that topic; one Memos system memo aggregates them.
  5. Defer graph DB until Phase 3.4. Qdrant alone covers ~80% of the assistant's daily value. The graph DB is justified once you actually need dependency analysis or critical-path queries.
  6. Auto-export n8n workflows. nexa-core/scripts/backup_workflows.sh already exists. Schedule it inside the n8n container (cron) and let it git commit && git push — this is the cheapest disaster recovery.

For the wider homelab (out of scope but worth noting)

  1. AI gateway naming. ai.nuclide.systems currently proxies LobeHub (a chat UI on :3210), while the LiteLLM API lives on :4000. For Nexa, point n8n directly at LiteLLM (http://192.168.1.40:4000 over the docker net — no public TLS hop needed) to save latency and isolate from UI restarts.
  2. MCP servers consolidation. Dozzle shows crawl4ai-mcp, markitdown-mcp, papersearch-mcp running individually. They're all MCP servers — Nexa Phase-3 could pull from these via LiteLLM's MCP support to enrich the embedding pipeline (e.g. fetch + markitdown a Karakeep link before embedding).
  3. Backup the n8n SQLite file — Backrest covers /home/node/.n8n if added; today the only "backup" is the workflow JSON which omits credentials and execution history.
  4. Pocket-ID SSO in front of n8n would let you remove n8n basic-auth and unify session management across the whole stack. One-time setup, large UX win.
  5. Vaultwarden as the secret store for Nexa secrets (SAIA_API_KEY, MEMOS_API_KEY, …) — read at bootstrap via the Bitwarden CLI from inside the docker host. Removes the need for a .env on disk.
  6. AdGuard as DNS-based control plane. Since AdGuard is the resolver for the LAN, you can rewrite *.nuclide.systems to 192.168.1.4 (Zoraxy) internally and avoid a hairpin via the WAN — already the case if AdGuard rewrite rules are set, worth verifying.
  7. Disk usage on LXC 104 is 47.7 % (Proxmox). Monitor; n8n execution logs and Dozzle history are the usual culprits. Setting EXECUTIONS_DATA_PRUNE=true and EXECUTIONS_DATA_MAX_AGE=168 (7 days) on n8n keeps it bounded.
  8. Obsidian plugin embeddings collide with Nexa's. The vault already runs Obsidian Copilot (.copilot, .copilot-index) and Smart Connections / Smart Composer (.smart-env, ~13 MB). They each embed the same notes into their own vector stores — three indexes for the same content. Nexa's value is the cross-source index (memos + mail + obsidian + RDF graph), so it has to embed independently, but the plugins could be retired once Nexa's RAG is satisfying. Track separately, decide later.
  9. Real-time Obsidian sync via notify_push. Phase 3.1 polls WebDAV every 15 min (Q4 resolution). Once that works, swap to Nextcloud's notify_push app for sub-second propagation. One-line workflow change in n8n.
  10. assets/ is 186 MB of binaries in the Obsidian vault — worth a glance to confirm it's mostly images (Phase-3.2 visual queue) rather than something that should live in Nextcloud Files proper.

Proxmox host (NUC 14 Pro) tuning

Observed from the node summary: 22 threads, 62 GiB RAM (32 GiB used, ~24 GiB of which is ZFS ARC), 1.64 TiB disk (0.35% used), load avg <2.0, IO delay 0.04%, kernel 6.17.13-4-pve, PVE 9.1.9, EFI. Suggestions in priority order:

  1. Cap ZFS ARC. Default is 50% of RAM (~31 GiB); current actual ~24 GiB. For a node that runs services rather than a pure storage box, capping at 812 GiB frees ~1216 GiB for guests without measurable IO impact (disk is 1.64 TiB and 0.35% used — there's nothing hot to cache):
    echo 'options zfs zfs_arc_max=8589934592' > /etc/modprobe.d/zfs.conf   # 8 GiB
    update-initramfs -u
    
    Reboot or echo 8589934592 > /sys/module/zfs/parameters/zfs_arc_max to apply live.
  2. Enable KSM (Kernel Same-page Merging). With ~40 docker containers + several LXCs, KSM typically frees 13 GiB by deduplicating identical memory pages. Currently KSM sharing: 0 B in the summary. PVE has ksmtuned available — systemctl enable --now ksmtuned.
  3. Suppress the pve-no-subscription repository warning — either accept it (it's a homelab) and apply the pve-no-subscription-warning polyfill, or move to the enterprise repo. Pure cosmetic, but the orange banner in the UI is noise.
  4. Swap is 31 GiB on a 62 GiB box with ZFS root — almost certainly oversized. Drop vm.swappiness to 10 (sysctl -w vm.swappiness=10 + persist) so swap is only used under genuine pressure, and consider shrinking the swap volume if disk-layout permits.
  5. Verify scheduled ZFS scrub is enabled. PVE ships zfs-scrub-monthly@.timersystemctl list-timers | grep zfs to confirm. Cheap insurance on a 1.6 TiB pool.
  6. SMART monitoring on the NVMe. smartctl -a /dev/nvme0 should be regularly polled; PVE's notification target can ntfy on degradation. Combine with the existing nexa.system ntfy topic (optimization #4) so disk-health alerts land in the same Memos system feed as everything else.
  7. NTP source via AdGuard. AdGuard already resolves DNS for the LAN; pointing the host's systemd-timesyncd at pool.ntp.org resolved through AdGuard avoids any external dependency for time. One-line change in /etc/systemd/timesyncd.conf.
  8. fstrim.timer enabled for the SSD pool — verify with systemctl status fstrim.timer. Default-on in modern PVE, but quick to confirm.
  9. Watchdog config is irrelevant for a single-node setup (HA is the use case), so leave the default. Mentioned only so future agents don't add it speculatively.

Docker LXC (104) — observations & wins

Confirmed allocation: 16 CPU, 31.25 GiB RAM (7.86 GiB used / 25%), 8 GiB swap (idle), 200 GiB boot disk at 47.7% used — disk pressure outranks RAM pressure.

  1. Fix the Intel iGPU passthrough. The container's own notes flag the binding as "likely failing". Once /dev/dri/{card0,renderD128} is visible inside the LXC, both TEI and infinity can run embeddings on the Arc iGPU via OpenVINO / IPEX-LLM — typically 510× faster than CPU. Equally, Immich's CLIP can be GPU-accelerated. The required config in /etc/pve/lxc/104.conf:
    lxc.cgroup2.devices.allow: c 226:0 rwm
    lxc.cgroup2.devices.allow: c 226:128 rwm
    lxc.cgroup2.devices.allow: c 29:0 rwm
    lxc.mount.entry: /dev/dri/card0       dev/dri/card0       none bind,optional,create=file
    lxc.mount.entry: /dev/dri/renderD128  dev/dri/renderD128  none bind,optional,create=file
    lxc.idmap: u 0 100000 65536
    lxc.idmap: g 0 100000 65536
    lxc.idmap: g 44 44 1            # video group on host
    lxc.idmap: g 104 104 1          # render group on host
    
    Then inside the container: usermod -aG video,render <docker-user> and run TEI with --device cuda replaced by the OpenVINO build (text-embeddings-inference:cpu-1.5-openvino). Not needed for Phase-3.1's volume but a clean upgrade path.
  2. Disk is the bottleneck, not RAM. 95 GiB used / 200 GiB on the boot disk. Each new container Phase-3 adds (TEI image ~500 MB, infinity ~600 MB, GraphDB image + repo data ~3 GB at startup, Qdrant data growth ~50 MB per 10 k embeddings) is small in isolation but adds up. Suggestions:
    • Move Qdrant data dir (already inside qdrant_scientific) to a dedicated mountpoint on unas (storage pool) if it grows past ~10 GB. Until then, leave it.
    • Configure n8n executions retention: EXECUTIONS_DATA_PRUNE=true, EXECUTIONS_DATA_MAX_AGE=168 (7 days). Already in optimization #13.
    • Schedule a monthly docker image prune --all --filter "until=720h" to recover layers from old image tags. Today's 40 containers likely brings ≥30 dangling layers.
    • Watch Immich's upload/ and library/ — those are the realistic 50-GB-class consumers if photo sync ramps up.
  3. The LXC has its own 8 GiB swap. Combined with the host's 31 GiB, that's a lot of swap for guests that should never page. Drop the LXC swap allocation to 12 GiB (pct set 104 -swap 2048) — frees disk on the LVM-thin pool and forces issues to surface earlier rather than silently swap.