What is Amazon Web Services (AWS) used for?
Amazon Web Services is used by a vast and diverse range of companies and organizations, including major players in technology and entertainment, as well as government clients. It allows organizations to build and run applications with pay-as-you-go pricing, offering flexibility and scalability. AWS services are utilized for various purposes, including storage and backup, hosting websites and applications, enabling gaming experiences, supporting mobile and social applications, and facilitating big data management and analytics.
AWS offers a variety of virtual machines and other computing resources that can be used for running applications, processing data, and handling workloads. AWS also provides diverse storage options, enabling organizations to store and retrieve data efficiently.
What is Amazon Web Services (AWS) doing with AI?
AWS provides a range of pre-trained artificial intelligence (AI) services that can be readily integrated into applications without requiring extensive machine learning expertise. For example, Amazon Rekognition enables developers to analyze images and videos without machine learning experience, while Amazon Lex allows developers to build conversational interfaces for applications using both voice and text. Amazon Lex uses the same deep learning engine that powers Amazon Alexa.
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications. Then there's Amazon SageMaker, a service that provides a comprehensive suite of tools for building, training, and deploying machine learning models at scale.
AWS offers specialized infrastructure optimized for AI workloads, including its custom AI chips such as Trainium and Inferentia. AWS Trainium is an AI accelerator chip designed specifically for training deep learning models, especially large language models (LLMs). AWS Inferentia is a custom-designed machine learning chip specifically for accelerating AI inference, which is the process of using a trained AI model to make predictions or generate new content based on unseen data.
Services like AWS App Studio are incorporating generative AI to expedite development processes by generating applications from natural language prompts.
