Train and Deploy ML Model Pipeline

Scenario

Train a machine learning model on PAI platform, then deploy the trained model to Alibaba Cloud Linux instances for production inference serving.

How the products combine

1. pai · pai-train-model — Platform for AI (PAI) — Train a machine learning model

See pai/pai-train-model.

2. alinux · alinux-deploy-model — Alibaba Cloud Linux — Deploy AI models for inference or training

See alinux/alinux-deploy-model.

Typical questions

• train and deploy model
• train model then deploy
• end-to-end ML pipeline
• 训练模型并部署
• 模型训练部署流程
• train ML model for production
• deploy trained model
• model training to deployment workflow

Q: How do I train a machine learning model and deploy it for production inference? A: You can train a machine learning model on the Platform for AI (PAI) and then deploy it to Alibaba Cloud Linux instances for production inference serving. This cross-product pipeline combines PAI for model training with Alibaba Cloud Linux for deployment. Implementation details are covered in the pai-train-model and alinux-deploy-model skill documentation.