Files
serverAppConfigs/docs/Dankclaw System Specs.md
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Frank 3a64c8f3dd docs: fact-check knowledge base against live machines and vLLM source
Correct stale and incorrect facts after exhaustive verification:
- Dankclaw: NUMA node 0 = 31213 MB; disk 661G/1.1T/38%; vLLM 0.26.0 in
  /home/dank/vllm-rocm-venv (not vllm-env); clarify 96 GiB GPU-visible is a
  driver overcommit ceiling over 30 GiB physical (confirmed via sysfs
  mem_info_vram_total=103079215104)
- Dankserver: disk 729G/140G free/84%; /mnt/entropy 910G free; active service
  is vLLM EngineCore (22 GB), not llama-server; CPU model Ryzen 7 7700X
- index.md: Dankclaw 30GiB phys / 96GiB GPU-visible (was '61 GB unified');
  add deployment topology mermaid diagram
- vLLM defaults (from source): gpu_memory_utilization=0.92, max_num_seqs=128,
  swap_space removed (now --kv-offloading-size) across Overview/Index/RAM/Hybrid
- Quantization: FP8 not native on Ampere (RTX 3090) or RDNA 3.5 (gfx1151);
  add per-model hardware quantization notes; AWQ/GPTQ limited on ROCm
- Speculative decoding: add DFlash, DSpark, MTP, EAGLE3 to feature list
- Confirm Qwen3.6-27B and Qwen3.6-35B-A3B specs are correct (HF-verified)
- Production note: Dankclaw primary llama.cpp service runs ROCmFPX
  Ling-3.0-flash RocmFP4 MTP, not vLLM Qwen3.6-27B
2026-08-10 20:59:33 -07:00

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# 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) |
### 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% |
### 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 (vLLM venv) |
| vLLM | 0.26.0 (in `/home/dank/vllm-rocm-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). Physical RAM is 30 GiB. The driver reports a 96 GiB VRAM ceiling (`sysfs mem_info_vram_total`), but the machine has only 30.5 GB of physical RAM. vLLM sees the large number and will try to use it. Set `--gpu-memory-utilization` conservatively (0.80-0.85) to avoid OOM when the OS needs memory.
- 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 llama.cpp service on Dankclaw runs on the ROCmFPX runtime (`/home/dank/GitPackages/ROCmFPX/build-strix-rocmfp4/bin/llama-server`) with the Ling-3.0-flash ROCmFP4 MTP model, not regular llama.cpp.
- ROCm 7.2.4 from AMD repos. vLLM ROCm support requires ROCm 6.3+.
- Python 3.14.4 is very new. vLLM ROCm wheels target Python 3.12. Use a Python 3.12 venv.
- 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]]