Amazon's cloud AI and ML services
Amazon Web Services offers a comprehensive AI portfolio including Amazon Bedrock (managed multi-model API for Claude, Llama, Mistral, Titan), Amazon SageMaker (end-to-end ML platform), Amazon Q Developer (AI coding assistant), and purpose-built AI services for vision, speech, translation, and forecasting.
Single API to access models from Anthropic (Claude), Meta (Llama), Mistral, Amazon (Titan), and Cohere
AI coding assistant in AWS Console and VS Code — explains AWS resources, writes IaC, fixes security issues
Complete ML lifecycle: data labeling, feature store, training, hyperparameter tuning, deployment, and monitoring
Fully managed RAG pipeline connecting S3, Confluence, and SharePoint to foundation models
New features in Amazon SageMaker Studio are designed to boost collaboration and streamline MLOps workflows for machine learning teams.
$0
12-month free tier
From $0.0008/1K tokens
Price varies by model
Configurable content filtering, PII redaction, and hallucination detection across all Bedrock models
Purpose-built AI for healthcare data, image/video analysis, and intelligent document processing
Amazon Bedrock has expanded its model offerings and enhanced the capabilities of its Agents feature for generative AI development.
Amazon SageMaker Studio has been updated with new features to improve the ML development workflow and model monitoring.
Custom
1-6 month commitments