SageMaker (AWS SageMaker)

Description: Amazon SageMaker is a fully managed machine learning platform launched by AWS in 2017, widely used for building, training and deploying AI models, including LLMs. As of 2025, it supports popular frameworks like TensorFlow, PyTorch and Hugging Face, offering tools for data preparation, model tuning, and scalable inference. SageMaker’s strength lies in its integration with AWS services, enabling enterprises to deploy models like Mistral or custom-trained LLMs at scale, with features like auto scaling and real-time monitoring.

Key Features:

• Supports Jupyter notebooks.

• AutoML capabilities.

Use Cases: Enterprise ML workflows.