# AI Session Summary — PC Multimedia

```yaml
session: 2026-07-06-ollama-fase3
project: PC-Multimedia
version: 0.3.0
status: fase1-selesai
next: UI chat Super Apps PWA + user memory
agent: Cascade
branch: main
```

## TL;DR

- **Fase 1 Ollama ✅** — `qwen2.5-coder:14b` + `nomic-embed-text` running GPU, 11.5 GB VRAM
- Fase 2 (pgvector) + Fase 3 (geonet-console `/api/v1/ai/chat`) selesai — detail di [`Ollama/docs/ai-session-summary.md`](../../Ollama/docs/ai-session-summary.md)
- Node ini (`10.100.1.14`) berjalan stabil sebagai GPU inference endpoint

## Audit Hardware (2026-07-06)

| Komponen | Nilai |
|----------|-------|
| CPU | Intel Core Ultra 7 265K, 20 CPU @ ~3.9 GHz |
| RAM | 64 GB |
| GPU | NVIDIA GeForce RTX 5060 Ti (~16 GB GDDR7) |
| MB | Gigabyte Z890 AERO G |
| Storage | ~6 TB NVMe (3× drive 2TB) |

> ⚠️ Koreksi: CPU bukan i5-4460 — data `wmic` via SSH session mengembalikan nilai kosong. DxDiag adalah sumber akurat.

## Yang sudah dilakukan

- Install OpenSSH Server di Windows 10 Pro (hostname MULTIMEDIA)
- Firewall rule `OpenSSH-Server-In-TCP` port 22
- Public key laptop → `C:\ProgramData\ssh\administrators_authorized_keys`
- Alias `multimedia` di `~/.ssh/config` laptop
- Script setup: `server-audit/scripts/setup-ssh-key-multimedia.ps1`
- Entry di `server-audit/host.md`
- Audit hardware DxDiag → update `docs/system-requirements.md`
- **Fase 1:** Install Ollama v0.31.1 via OllamaSetup.exe
- Set `OLLAMA_MODELS=T:\ollama\models`, `OLLAMA_HOST=0.0.0.0:11434` via `setx /M`
- Autostart via Windows Task Scheduler (SYSTEM account, AtStartup)
- Firewall rule `OllamaVLAN`: port 11434 dari `10.100.1.0/24` only
- Pull `qwen2.5-coder:14b` (9.0 GB) + `nomic-embed-text` (274 MB) → tersimpan di `T:\ollama\models`
- Verified: API `http://10.100.1.14:11434` reachable, GPU 11.5 GB / 16 GB VRAM aktif
- Script: `PC-Multimedia/scripts/install-ollama-task.ps1`

## Fase 1 — Detail Konfigurasi

| Item | Nilai |
|------|-------|
| Ollama versi | 0.31.1 |
| Ollama path | `C:\Users\admin\AppData\Local\Programs\Ollama\ollama.exe` |
| Model storage | `T:\ollama\models` (Samsung 9100 PRO, 323 GB free) |
| Listen | `0.0.0.0:11434` |
| Autostart | Task Scheduler → Task `OllamaServe`, SYSTEM, AtStartup |
| Firewall | Rule `OllamaVLAN`, TCP 11434, remoteip `10.100.1.0/24` |
| GPU saat idle | ~2213 MiB VRAM |
| GPU saat loaded 14B | ~11518 MiB VRAM |
| CUDA | 12.9 (bundle dari driver 576.88, tidak perlu install terpisah) |

## Lanjut dari sini

1. Tidak ada task Ollama baru untuk node ini — sudah stabil
2. Monitor: pastikan Task `OllamaServe` masih running setelah Windows update/reboot
3. Inventarisasi aplikasi terpasang (ArcGIS Pro, dll.) — lihat [todo.md](./todo.md)
4. Opsional: Zabbix agent untuk `10.100.1.14`
5. Next AI pipeline: lihat [`Ollama/docs/ai-session-summary.md`](../../Ollama/docs/ai-session-summary.md)

## Jangan

- Jangan simpan password admin di repo
- Jangan commit `.env` lokal
- Jangan pakai `~/.ssh/authorized_keys` untuk user admin Windows — tidak akan jalan
- Jangan expose port 11434 ke luar VLAN `10.100.1.0/24`