Record hardware and model inventory evidence

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# WP-200 Hardware and model inventory evidence
Task: DEV-000111
Evidence date: 2026-08-22
Target: `docker-prod` / `docker.cin.su`
## Host evidence
Read-only `ssh docker` inspection returned:
- host: `docker`
- CPU: `128` logical processors
- memory: `251 GiB` total, `203 GiB` available at inspection time
- swap: `8 GiB`, `256 KiB` used
- root storage: `1.6T` total, `359G` used, `1.2T` available, `24%`
- `nvidia-smi`: unavailable
- Docker server: `29.4.0`, `128` CPUs, approximately `252 GiB` Docker memory
- Docker runtimes: `runc`/`containerd`; no NVIDIA runtime reported
## Runtime evidence
Read-only `docker --context docker-prod` inspection found:
- `assistant-cognitive-worker-1`: production revision `b439a813...`, `/healthz` returned `status=ok`
- `assistant-cognitive-lifeboat-1`: `ghcr.io/ggml-org/llama.cpp:server`, Docker health `healthy`
- `llm-local-api`: `ghcr.io/ggml-org/llama.cpp:server`, Docker health `healthy`
- no model activation, routing change or deployment was performed by this inventory task
## Qualification conclusion
This host has no verified GPU/VRAM capability in the inspected runtime. CPU
and lifeboat health are evidence of availability, not model qualification.
WP-201 still requires immutable model digests, holdout quality tests,
latency/concurrency measurements, license/data-policy evidence and restart
behavior. Heavy-class activation remains a qualification decision, not an
inventory inference.
## Evidence limitations
This record does not establish the topology of any separate GPU host, does not
read secrets, and does not claim that a model is qualified from its image name
or health endpoint alone.