Generative AI on AWS
Innovate faster with new capabilities. Pick your choice of industry-leading foundation models (FMs), and get the most cost-effective infrastructure.
Generative AI–powered assistant to accelerate software development and business operations
Amazon Q generates code, tests, debugs, and has multistep planning and reasoning capabilities that can transform and implement new code generated from developer requests.
Amazon Q also makes it easier for employees to get answers to questions across business data—such as company policies, product information, business results, code base, employees, and many other topics. Amazon Q connects to enterprise data repositories to logically summarize the data, analyze trends, and engage in dialogue about the data.
Responsibly building AI at AWS
The rapid growth of generative AI brings promising new innovation and, at the same time, raises new challenges. At AWS, we are committed to responsibly developing AI, taking a people-centric approach that prioritizes education, science, and our customers. Integrate responsible AI across the complete AI lifecycle with services and tools like Guardrails for Amazon Bedrock, Amazon SageMaker Clarify, AWS AI service cards, and many more.
Easily build and scale generative AI applications for your use case
Amazon Bedrock is a fully managed service offering a choice of high-performing FMs from leading AI companies and Amazon through a unified API, along with a broad set of capabilities to build and scale generative AI applications. As a serverless service, Amazon Bedrock requires no infrastructure management while allowing secure integration and deployment using familiar AWS services.
Using Amazon Bedrock, you can:
- Experiment and evaluate top models for your use case
- Privately customize models and with your data using fine-tuning and retrieval augmented generation (RAG)
- Import custom models and use them in Amazon Bedrock
- Build agents that integrate with your systems and data
- Facilitate collaborative model experimentation and application building with Amazon Bedrock Studio
Get the most performant, low-cost infrastructure for generative AI
As generative AI models become more prevalent, the usage, management, and costs of compute, storage, and networking resources increase. Selecting the right infrastructure is essential to optimize performance, minimize costs, reduce power consumption, and streamline model training and deployment.
Power your AI with the broadest set of secure and price-performant cloud tools and AI infrastructure, including fully managed services, accelerated computing instances, storage, orchestration and clustering services, and networking.
Get the price-to-performance you need while ensuring your generative AI models are as energy efficient as possible. AWS purpose-built AI silicon, including AWS Trainium and AWS Inferentia, is designed to speed up and lower the cost of training and deploying your model into production.
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