3c028fed5a465d377537d1645a2bd22ccb98d11d
cuda_available() only covers "no GPU present". On a shared card the GPU can exist but fail to load the model (VRAM exhausted by another process e.g. Ollama). Try CUDA first, fall back to a CPU model on any load error instead of crashing the transcription job. Supports HA portability (node without GPU) and a contended GPU. Adds GPU-path + fallback tests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Void 2.0
Homelab orchestrator + canonical knowledge store. Cradle-themed.
Successor to Void 1.x (CT 301). Spec at
/project/docs/superpowers/specs/2026-05-31-void-v2-design.md.
Layout
void-server(this repo) — Node API, MCP, UI, cron, agent runtimevoid-workers— Python ingest workers (separate repo, later plan)
Quick start (dev)
- Provision
void2-dbLXC (seedeploy/README.md) - Install Postgres + pgvector on
void2-db npm installcp .env.example .envand editnpm run migratenpm startcurl -H "Authorization: Bearer $OWNER_TOKEN" http://localhost:3000/health
Description
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