Individual skill
vastai-reference-architecture
Design a governed Vast.ai GPU control plane that separates planning, paid mutation, execution, recovery, evidence, and teardown. Use when reviewing a production architecture spanning instances or Serverless. Trigger with: "design a Vast.ai architecture", "govern GPU workload lifecycles", "review a Vast.ai platform".
plugins/saas-packs/vastai-pack/skills/vastai-reference-architecture/SKILL.md
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# Governed Vast.ai GPU Workload Architecture
## Overview
Center the architecture on an immutable run or release manifest and a lifecycle ledger. Search and planning are read-only; paid resource creation crosses an approval boundary; execution writes recoverable state externally; teardown closes both cost and evidence.
## Prerequisites
- Batch, training, interactive, or Serverless workload inventory with SLOs
- Data, model, image, credential, region, reliability, and spend policies
- Owners for approval, execution, recovery, billing, security, and platform incidents
## Instructions
