---
type: reference
title: Dankserver
description: Radiance inference server at 192.168.0.235:7770, serving frank-archon (Qwen3.8-Flash-Next iq4r, 2x R9700 TP=2, 200,000-token context).
tags:
  - network
  - llamacpp
  - inference
  - server
generated:
  by: chief-designer/agent
verified: 2026-10-18
status: stable
---

# Dankserver

Primary inference server for the Frank Program. Serves `frank-archon`, the
main agent model, from a pair of Radeon AI PRO R9700s (tensor-parallel 2).
The RTX 3090 that used to live here was removed 2026-09-15 and now runs on
Dankclaw.

## Connection Details

| Property | Value |
|----------|-------|
| **Hostname** | dankserver |
| **IP Address** | 192.168.0.235 |
| **Port** | 7770 |
| **Base URL** | `http://192.168.0.235:7770/v1` |
| **API** | OpenAI-compatible completions |
| **Authentication** | None |
| **Systemd unit** | `frank-archon.service` (root) |

## Model

| Property | Value |
|----------|-------|
| **Model ID** | `frank-archon` (display name `frank-archon`) |
| **Weights** | Qwen3.8-Flash-Next, radiance iq4r (publisher build) |
| **Engine** | radiance, tensor-parallel 2 across both R9700s |
| **Context Window** | 200,000 tokens (harness `models.yml`; served pool may differ — see runbook) |

`frank-medium` (former dual-GPU mid tier) is masked and retired.

## Usage

Dankserver carries the main-session model. Subagent role overrides in
`agent/models.yml` route here for `task` and `reviewer`; scout/sonic/designer
route to Dankclaw.

```bash
# Health check
curl http://192.168.0.235:7770/health

# Quick test
curl http://192.168.0.235:7770/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"frank-archon","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
```

## Hardware (verified live 2026-10-18)

| Property | Value |
|----------|-------|
| **CPU** | AMD Ryzen 7 7700X (8C/16T, Raphael iGPU on board) |
| **GPU** | 2× AMD Radeon AI PRO R9700 (Navi 48, 32 GiB each) |
| **RAM** | 246 GiB |
| **Swap** | effectively none (~0.1 GiB) — the 64 GiB swapfile is on Dankclaw, not here |
| **Storage** | 7× 18.2 TB HDD + 1.8 TB NVMe (layout owned by the deploy repo) |
| **OS** | Ubuntu 26.04.1 LTS, kernel 7.0.0-38-generic |

The old page (verified 2026-08-28) listed an RTX 3090, 60 GiB RAM, and a
64 GiB swapfile here; all three were superseded by the 2026-09 hardware swap.

## Related Knowledge Bases (sibling project)

- **serverAppConfigs** — deployment repo + vault, on this workstation at
  `~/Projects/serverAppConfig/` (docs vault: `~/Projects/serverAppConfig/serverAppConfigs-docs/`).
  Podman/quadlet deploy config for both servers plus the LLM inference fleet.
  The live frank-archon runbook (engine flags, KV pool sizing, restart
  procedures) is `LLM/frank-archon-radiance-qwen38-iq4r.md` in that vault —
  it, not this page, is the deploy-side source of truth.

## See Also

- [[dankclaw|dankclaw]] — the other inference box (dragoon + zealot)
- [[network|network]] — Network topology
- [/core/statusline.md](/core/statusline.md) — where these models surface in the TUI