Frank
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- deployment.md: Boot Policy (2026-08-17) section (disabled units table, re-enable recipes, stale frank-restart-small.sh helper, broken deploy.sh dankserver target); Update Dankserver -> frank-pp-worker; condensed retired 35B history block and 2026-08-13 incident - AGENTS.md: boot-policy note, target map fix (Q6_K, split 0.68), deploy.sh dankserver warning, obsolete quirk entries condensed - README.md: rewrite active services/models tables (PP head + worker) - index.md: topology fix (qwythos:9b, Q6_K split 0.68, NPU disabled) - qwen3.8-spec-matrix.md: superseded configs merged into compact history; stale inline env block removed; bundled-head MTP note - FastFlowLM, PP Deployment: boot-policy + enablement notes - System Specs x2, DFlash doc, 35B FP8 doc, Ling docs: stale active claims fixed, retired banners, never-shipped plan stubbed
99 lines
3.7 KiB
Markdown
99 lines
3.7 KiB
Markdown
# Dankclaw System Specs
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## Server Overview
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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.
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## Hardware Specifications
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### CPU
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| Property | Value |
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|----------|-------|
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| Model | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
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| Architecture | x86_64 |
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| Cores | 16 (1 socket, 1 thread per core) |
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| Max MHz | 5187.50 |
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| Min MHz | 625.00 |
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| NUMA Nodes | 1 (node 0, 31213 MB) |
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### GPU (Integrated)
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| Property | Value |
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|----------|-------|
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| Model | AMD Radeon 8060S (Strix Halo) |
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| Device ID | 0x1586 |
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| Architecture | gfx1151 (Strix Halo) |
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| GPU-Visible Memory | 96 GiB (driver VRAM ceiling, overcommitted) |
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| Physical RAM | 30 GiB (shared CPU + GPU) |
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### NPU
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| Property | Value |
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|----------|-------|
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| Model | AMD XDNA2 (Ryzen AI) |
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| Rating | 50 TOPS |
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| Device | /dev/accel/accel0 |
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| Driver | amdxdna 0.7 (in-tree, kernel 7.0.0-29-generic) |
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| Firmware | 1.1.2.65 |
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| Runtime | FastFlowLM 0.9.45 + XRT (installed 2026-08-16) |
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| Status | Not in service. Research only. See [[FastFlowLM NPU Inference]] |
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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.
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### ROCm
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| Property | Value |
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|----------|-------|
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| ROCk Module | Loaded |
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| Runtime Version | 1.18 |
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| ROCm Version | 7.2.4 (from AMD repos) |
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| Agent Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
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| GPU Arch | gfx1151 (Strix Halo) |
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| GPU Global Memory | 96 GiB (driver-reported ceiling; physical is 30 GiB) |
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### Memory
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| Property | Value |
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|----------|-------|
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| System RAM | 30 GiB (shared CPU + GPU) |
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| GPU-Visible (ROCm) | 96 GiB (driver ceiling; ROCm pool 1 is 31962252 KB) |
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| Swap | 8.0 GiB |
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| /dev/shm | ~15 GiB (half of RAM) |
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### Storage
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| Filesystem | Size | Used | Avail | Use% |
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|------------|------|------|-------|------|
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| / (nvme0n1p2) | 1.9T | 661G | 1.1T | 38% |
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### OS and Software
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| Property | Value |
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|----------|-------|
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| OS | Ubuntu 26.04 LTS (Resolute Raccoon) |
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| Kernel | 7.0.0-29-generic |
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| Python | 3.14.4 (system), 3.12.13 (CIRU vLLM venv) |
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| vLLM | 0.26.1rc1.dev467+g838616875.rocm715 (CIRU venv, Python 3.12) |
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| uv | 0.12.2 |
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## VLLM Relevance
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- Unified memory eliminates separate VRAM limits. The GPU uses system RAM.
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- 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).
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- 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.
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- Only 8 GiB swap. Modern vLLM uses `--kv-offloading-size` instead of the removed `--swap-space` flag.
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- 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]].
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- 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+.
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- Python 3.14.4 is very new. vLLM ROCm wheels target Python 3.12. The CIRU venv uses Python 3.12.
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- Radeon 8060S falls under Ryzen AI MAX series (gfx1151). vLLM lists this as supported.
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- 1.1 TB free disk space is ample for model storage.
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- `libmpi_cxx.so.40` is missing from the system. Install `openmpi-bin` or provide a workaround for torch MPI dependency.
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## See Also
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- [[VLLM Overview]]
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- [[Shared Memory Architecture Dankclaw]]
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- [[RAM CPU Offloading in VLLM]]
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- [[Running Qwen3.6 27B FP8 on Dankclaw]]
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- [[FastFlowLM NPU Inference]]
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