Generative AI on AWS
Generative AI on AWS empowers you to create new content, accelerate development, and enhance productivity using cutting-edge foundation models and AI assistants. AWS provides various solutions tailored for different generative AI needs.
Generative AI Solutions​
Service Name | Logo | Key Attributes | Primary Use Cases |
---|---|---|---|
Amazon SageMaker JumpStart | ![]() | - ML hub with pre-trained FMs and solutions. - Deployable with a few clicks. - Supports custom fine-tuning of FMs. | - Rapid ML model deployments. - Custom fine-tuned solutions for specific domains. - ML experiments and prototypes with various models. |
Amazon Bedrock | ![]() | - Fully managed service for FMs. - Access to FMs from Amazon and leading AI companies. - Unified API for experimentation and deployment. | - Enterprise-grade generative AI applications. - Multimodal content generation (text, images). - Advanced conversational AI connected to enterprise data. |
Amazon Q Business | ![]() | - Generative AI assistant for business. - Connects securely to company information repositories. - Answers questions and solves problems using internal data. | - Information requests and knowledge discovery. - Automated workflows and task assistance. - Insight extraction from internal documents. |
Amazon Q Developer | ![]() | - Generative AI assistant for developers. - Provides code recommendations and generates code. - Integrates with multiple IDEs (C#, Java, Python, etc.). | - Faster code generation and development. - Improved reliability and security through code reviews. - Automated code reviews and debugging assistance. |