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Amazon SageMaker

AI Platforms
LLM APIs & Platforms
Amazon

Comprehensive machine learning platform for building, training, and deploying custom models at scale. Fine-tune foundation models, train with frameworks like PyTorch and TensorFlow, and deploy with one click. SageMaker HyperPod for distributed training. Integration with Amazon Nova and Bedrock models.

Why Use Amazon SageMaker

Most comprehensive ML platform on AWS. Build custom models or fine-tune foundation models. Distributed training at scale with HyperPod. One-click deployment with monitoring. Integration with entire AWS ecosystem. Perfect for teams needing full ML lifecycle management.

Use Cases for Builders
Practical ways to use Amazon SageMaker in your workflow
  • Fine-tune Llama, Mistral, or Amazon Nova on your data
  • Train custom models with PyTorch or TensorFlow at scale
  • Deploy models with automatic scaling and monitoring
  • Build ML pipelines with SageMaker Pipelines
  • Experiment with Jupyter notebooks and model versioning
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