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3 commits

Author SHA1 Message Date
Viktor Barzin
fd0f4a0365 fix: restore tree dropped by 6d224861; land stem95su gdrive-sync (10m) [ci skip]
6d224861 came from a --no-checkout worktree whose empty index made the
commit drop every file except two. This restores 05b50d2b's full tree and
correctly adds stacks/stem95su/gdrive-sync.tf + the service-catalog stem95su
entry. Forward-only (parent=6d224861, no force-push); [ci skip] since the
live infra was never applied from the broken commit.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-09 08:45:33 +00:00
Viktor Barzin
6d224861c4 stem95su: scheduled Drive->site sync CronJob (every 10m)
CronJob stem95su-gdrive-sync (*/10) mounts the content PVC RW and
rclone-syncs the read-only Drive folder "claude" (stem claude/files) onto
it (rclone/rclone:1.74.3, scope=drive.readonly, empty-source guard +
--max-delete 25). ESO ExternalSecret stem95su-rclone <- Vault
secret/stem95su. Requires the GCP OAuth app published to Production or the
refresh token expires ~weekly.

Lands the gdrive-sync stack on master (it had landed on a feature branch
by accident on the shared devvm checkout).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-09 08:42:26 +00:00
Viktor Barzin
34acd98785 infra/llama-cpp: add stack — llama-swap fronting Qwen3-VL + MiniCPM-V
Single Deployment of mostlygeek/llama-swap:cuda hot-swaps three
GGUF vision models (qwen3vl-8b, minicpm-v-4-5, qwen3vl-4b) at one
OpenAI-compat /v1 endpoint on Service llama-swap.llama-cpp.svc.
Idle TTL 10min so models unload between benchmark batches.

Storage: NFS-RWX from /srv/nfs-ssd/llamacpp (30Gi). One-shot
download Job pulls Q4_K_M GGUF + mmproj per model, creates stable
model.gguf / mmproj.gguf symlinks so the llama-swap config is
filename-agnostic, then warms the kernel page cache.

GPU: nvidia.com/gpu=1 = whole T4 — operator must scale immich-ml
to 0 during benchmark windows. wait_for_rollout=false so apply
doesn't block on GPU availability.

Initial use case: vision-LLM benchmark for instagram-poster
candidate scoring; future consumers (HA, agentic tooling) hit
the same endpoint via LiteLLM at the gateway.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-10 14:13:40 +00:00