# Dankclaw System Specs

## Server Overview

Dankclaw is an AMD APU server for vLLM inference. The host runs Ubuntu 26.04 with an AMD Ryzen AI MAX+ 395 Strix Halo APU. The APU uses unified memory — CPU and GPU share the same physical RAM pool.
## Hardware Specifications

### CPU

| Property | Value |
|----------|-------|
| Model | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| Architecture | x86_64 |
| Cores | 16 (1 socket, 1 thread per core) |
| Max MHz | 5187.50 |
| Min MHz | 625.00 |
| NUMA Nodes | 1 (node 0, 31213 MB) |

### GPU (Integrated)

| Property | Value |
|----------|-------|
| Model | AMD Radeon 8060S (Strix Halo) |
| Device ID | 0x1586 |
| Architecture | gfx1151 (Strix Halo) |
| GPU-Visible Memory | 96 GiB (driver VRAM ceiling, overcommitted) |
| Physical RAM | 30 GiB (shared CPU + GPU) |

### NPU

| Property | Value |
|----------|-------|
| Model | AMD XDNA2 (Ryzen AI) |
| Rating | 50 TOPS |
| Device | /dev/accel/accel0 |
| Driver | amdxdna 0.7 (in-tree, kernel 7.0.0-29-generic) |
| Firmware | 1.1.2.65 |
| Runtime | FastFlowLM 0.9.45 + XRT (installed 2026-08-16) |
| Status | Not in service. Research only. See [[FastFlowLM NPU Inference]] |

The NPU shares the 30 GiB unified pool. FLM allocates roughly half of system RAM for NPU use (~15 GiB here). It is idle in production.

### ROCm

| Property | Value |
|----------|-------|
| ROCk Module | Loaded |
| Runtime Version | 1.18 |
| ROCm Version | 7.2.4 (from AMD repos) |
| Agent Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| GPU Arch | gfx1151 (Strix Halo) |
| GPU Global Memory | 96 GiB (driver-reported ceiling; physical is 30 GiB) |

### Memory

| Property | Value |
|----------|-------|
| System RAM | 30 GiB (shared CPU + GPU) |
| GPU-Visible (ROCm) | 96 GiB (driver ceiling; ROCm pool 1 is 31962252 KB) |
| Swap | 8.0 GiB |
| /dev/shm | ~15 GiB (half of RAM) |

### Storage

| Filesystem | Size | Used | Avail | Use% |
|------------|------|------|-------|------|
| / (nvme0n1p2) | 1.9T | 661G | 1.1T | 38% |

### Network

| Interface | Type | Speed | IP | Notes |
|-----------|------|-------|----|-------|
| eno1 | onboard | 2500 Mb/s (2.5 GbE) | 192.168.0.143 (DHCP) | Carries the RPC path to Dankserver since 2026-08-17. Default route via 192.168.0.1. |
| enx00e04cc2e1e5 | USB-C to Ethernet adapter | 1000 Mb/s | 192.168.0.116 | UNPLUGGED 2026-08-17. While present, the route to 192.168.0.235 went through this adapter (lower route metric), so all RPC traffic was capped at 1 GbE. See [[Pipeline Parallelism/Ethernet Bandwidth Math]] section 0. |
| docker0 | bridge | - | 172.17.0.1 | Usually down. |

The L2 gateway/switch at 192.168.0.1 (MAC f0:4b:8a:65:c5:40) is at
least 2.5 GbE-capable. Whether it is 10G-capable is unverified — check
the device itself before buying 10G USB-C adapters; otherwise a direct
cable between claw and server is required for 10G.

### OS and Software

| Property | Value |
|----------|-------|
| OS | Ubuntu 26.04 LTS (Resolute Raccoon) |
| Kernel | 7.0.0-29-generic |
| Python | 3.14.4 (system), 3.12.13 (CIRU vLLM venv) |
| vLLM | 0.26.1rc1.dev467+g838616875.rocm715 (CIRU venv, Python 3.12) |
| uv | 0.12.2 |

## VLLM Relevance

- Unified memory eliminates separate VRAM limits. The GPU uses system RAM.
- ROCm reports 96 GiB of GPU-visible memory (overcommitted). The current vLLM service runs at `--gpu-memory-utilization 0.95`, which fits the CIRU INT4 weights and 256k KV cache (about 90 GiB used of the 96 GiB frame buffer).
- Without the ROCm VRAM patch, ROCm clamps APU memory to 50% (see `scripts/patches/rocm_patched.py` on the remote). The patch restores the real GTT ceiling minus an 8 GB safety margin.
- Only 8 GiB swap. Modern vLLM uses `--kv-offloading-size` instead of the removed `--swap-space` flag.
- The active service on Dankclaw is `frank-default-large.service`: the llama.cpp pipeline-parallel head (Qwen3.8-27B-Uncensored Q6_K) on port 7770, RPC-split with the Dankserver worker. The vLLM-ROCm CIRU Ling path was planned but never shipped. See [[deployment]].
- ROCm 7.2.4 from AMD repos. The CIRU venv bundles a self-contained ROCm 7.15 toolchain; vLLM ROCm support requires ROCm 6.3+.
- Python 3.14.4 is very new. vLLM ROCm wheels target Python 3.12. The CIRU venv uses Python 3.12.
- Radeon 8060S falls under Ryzen AI MAX series (gfx1151). vLLM lists this as supported.
- 1.1 TB free disk space is ample for model storage.
- `libmpi_cxx.so.40` is missing from the system. Install `openmpi-bin` or provide a workaround for torch MPI dependency.

## See Also

- [[VLLM Overview]]
- [[Shared Memory Architecture Dankclaw]]
- [[RAM CPU Offloading in VLLM]]
- [[Running Qwen3.6 27B FP8 on Dankclaw]]
- [[FastFlowLM NPU Inference]]