# vastai-load-scale

> Implement auto-scaling patterns for Vast.ai instances based on job queue depth or training demands

## Directory Structure

```
vastai-load-scale/
├── SKILL.md
└── examples/
    └── autoscaler.py
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| SKILL.md | Markdown | Auto-scaling architecture with scaling policies, queue integration, and distributed training |
| examples/autoscaler.py | Python | Auto-scaler implementation that provisions/terminates instances based on workload |

## Summary

**Category:** Enterprise
**Target Audience:** Platform engineers handling variable ML workloads, teams running distributed training
**Trigger Phrases:** "vast auto scaling", "scale vast instances", "vast distributed training", "vast elastic compute", "vast queue scaling"

**Version:** 1.0.0
**License:** MIT
**Author:** Jeremy Longshore <jeremy@intentsolutions.io>
