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Company
AI at scale in the cloud
What changed· 2026-05-31
Amazon Web Services launched the AWS Trainium chip, designed to optimize machine learning training workloads at lower costs.
Amazon Web Services (AWS) is a leader in cloud computing and AI services. It offers a wide range of machine learning tools and platforms that empower developers and businesses to build, train, and deploy AI models at scale. AWS's comprehensive suite includes services like Amazon SageMaker for model development and deployment, and Amazon Comprehend for natural language processing. These tools are used across industries, from healthcare to finance, driving innovation and efficiency.
Amazon SageMaker
A fully managed service that enables developers to build, train, and deploy machine learning models at scale.
Paid
AWS Lambda
Run code without provisioning or managing servers, ideal for building AI applications.
Paid
Amazon Comprehend
A natural language processing service that extracts insights from text.
Paid
AWS is committed to responsible AI development, focusing on fairness, transparency, and security. The company provides guidelines and tools to help users build ethical AI applications. AWS also collaborates with industry leaders to establish best practices for AI safety and governance.
2016-11
Launch of Amazon SageMaker
AWS introduced a fully managed service for building, training, and deploying machine learning models.
2018-11
Introduction of AWS Lambda support for machine learning
Enabled serverless computing for AI applications.
2023-09
Enhancements to Amazon Comprehend
Added new features for advanced text analysis and sentiment detection.
Quick facts
Founded
2006
HQ
Seattle, USA
Structure
Subsidiary of Amazon.com Inc.
Valuation
$1.7 trillion as of 2024 (Amazon's market cap)
CEO
Andy Jassy
Key Products
Amazon SageMaker, AWS Lambda, Amazon Comprehend
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