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Refine capacity numbers from LXC 104 summary; flag iGPU passthrough fix

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- 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.
This commit is contained in:
Claude
2026-05-04 22:10:51 +00:00
parent 0b470b3e12
commit 12ed4426e0
4 changed files with 33 additions and 8 deletions
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docs/03-architecture.md
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@@ -39,7 +39,7 @@ A one-page mental model. For details follow the cross-links.
| Component | Role | Where it runs (today) |
|-----------|------|-----------------------|
| **Memos** | Interface, voice input, webhook source | docker host LXC 104 → `memos.nuclide.systems` |
| **Memos** | Interface, voice input, webhook source | docker host LXC 104 (unprivileged, 16 CPU / 31 GiB / 200 GiB) → `memos.nuclide.systems` |
| **n8n** | Workflow / logic engine | docker host LXC 104 → `n8n.nuclide.systems` |
| **SAIA / LiteLLM** | Model gateway, embeddings, classification | docker host LXC 104 → `ai.nuclide.systems` (LiteLLM internal :4000) |
| **Qdrant** | Vector memory (semantic recall) | docker host LXC 104 — reuse `qdrant_scientific`. Collections: `nexa_knowledge_text` (Phase 3.1, 1024-dim) and `nexa_knowledge_visual` (Phase 3.2, 768-dim) |