AWS Solutions Library

This Guidance shows how you can optimize your generative AI models using Amazon SageMaker, a service where you can build, train, and deploy large language models (LLMs) at scale.

This Guidance outlines the process of federating data between SAP and AWS cloud analytics services, enabling you to establish a data mesh architecture. SAP provides enterprise software for running business processes, from enterprise resource planning to customer relationship management. By connecting SAP with AWS, you can easily transform and visualize your data in a scalable, secure, and cost-effective way, helping you inform your decision-making.

이 지침은 기업이 Amazon Q Business의 뛰어난 생성형 AI 기능을 사용하여 데이터의 가치를 활용할 수 있는 방법을 보여줍니다.

This Guidance demonstrates how to run the Coalition for Content Provenance and Authenticity (C2PA) standard for tracking provenance with media workloads on AWS.

This Guidance demonstrates how developers can build applications on mobile iOS and Apple Vision Pro in the AWS Cloud using Unity—a widely-used game engine and development platform where developers can create immersive 2D and 3D interactive experiences.

This Guidance demonstrates how to automate the setup of Amazon CloudWatch dashboards for monitoring and alerting network resources on AWS.

This Guidance demonstrates how to build and modernize your electric vehicle (EV) charging station using AWS IoT Core.

The Guidance demonstrates how to create an enterprise-governed model in HighByte, ingest real-time, historical, and transactional data at scale from edge and cloud data sources into Snowflake, and interface with applications using REST APIs.

This Guidance shows how the Amazon DynamoDB continuous incremental exports feature can help capture and transfer ongoing data changes between DynamoDB tables.