Amazon SageMaker
AI-powered tool for precise, scalable business forecasting.
Last updated
Features
- Covers the ML workflow from data preparation to production deployment
- Built-in Jupyter notebooks and MLOps tools
- AutoML with SageMaker Autopilot for automatic model creation and tuning
- Custom training with TensorFlow, PyTorch and XGBoost
- Scalable endpoints for real-time inference and batch processing
- Model explainability, bias detection and continuous monitoring
- Hyperparameter tuning and distributed training automation
- Integrates with Amazon S3, Lambda and CloudWatch
Pricing Details
💰 Pricing Model:
Pay-as-you-go (usage-based AWS pricing).
🆓 Free Plan Details:
• AWS Free Tier offers up to 250 hours/month of t2.micro notebook usage for 2 months.
• Basic experimentation and model training can be done within the free tier.
💳 Paid Plan Details:
• Pay per compute, storage, and data transfer usage.
• Training instance types start from a few cents/hour up to GPU clusters for large models.
• Enterprise options include SageMaker Studio, Canvas, and Ground Truth (for labeling).