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"
1---2name: 2698-vastai-deploy-pipeline-8d1102273description: vastai-deploy-pipeline4---5# vastai-deploy-pipeline67> Build end-to-end deployment pipelines for ML models using Vast.ai for training and inference89## Directory Structure1011```12vastai-deploy-pipeline/13├── SKILL.md14└── examples/15 └── mlops_pipeline.py16```1718## File Descriptions1920| File | Type | Purpose |21|------|------|---------|22| SKILL.md | Markdown | Complete deployment pipeline architecture with training, validation, and deployment stages |23| examples/mlops_pipeline.py | Python | MLOps pipeline implementation with model registry integration and Vast.ai orchestration |2425## Summary2627**Category:** CI/CD28**Target Audience:** MLOps engineers, release managers, platform teams building production ML systems29**Trigger Phrases:** "vast deployment pipeline", "vast mlops", "vast model deploy", "vast training pipeline", "vast production deploy"3031**Version:** 1.0.032**License:** MIT33**Author:** Jeremy Longshore <jeremy@intentsolutions.io>
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