# vastai-deploy-pipeline

> Build end-to-end deployment pipelines for ML models using Vast.ai for training and inference

## Directory Structure

```
vastai-deploy-pipeline/
├── SKILL.md
└── examples/
    └── mlops_pipeline.py
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| SKILL.md | Markdown | Complete deployment pipeline architecture with training, validation, and deployment stages |
| examples/mlops_pipeline.py | Python | MLOps pipeline implementation with model registry integration and Vast.ai orchestration |

## Summary

**Category:** CI/CD
**Target Audience:** MLOps engineers, release managers, platform teams building production ML systems
**Trigger Phrases:** "vast deployment pipeline", "vast mlops", "vast model deploy", "vast training pipeline", "vast production deploy"

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