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Simplifying ML Experimentation
- Amazon SageMaker Studio Lab simplifies ML learning with a free, no setup environment based on Jupyter Lab.
- It supports open frameworks like PyTorch, TensorFlow, and Hugging Face for flexible data science experimentation.
Serverless ML Model Inference
- SageMaker Serverless Inference automatically manages compute resources, provisioning and scaling based on demand.
- You pay only when inference runs, ideal for intermittent or predictable ML traffic loads.
Automated Data Labeling Service
- Amazon SageMaker Ground Truth Plus automates high-quality training data labeling, reducing costs by up to 40%.
- It manages labeling workforce and uses ML techniques like active learning for quality and efficiency.