Why Use GenAI in the Cloud?
Explore the benefits of using generative AI in the AWS cloud including scalability, security, and cost-effectiveness. Understand how AWS services such as Amazon Bedrock, SageMaker, and Amazon Q simplify AI deployment. Discover real-world applications in healthcare, finance, and retail and learn to balance performance with cost tradeoffs for GenAI projects.
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Generative AI (GenAI) is revolutionizing industries by enabling machines to create content—such as text, images, videos, and code—with human-like creativity. From powering intelligent chatbots to generating media content, GenAI is transforming how businesses operate, innovate, and engage with customers. These models are designed to learn and improve over time, refining their outputs through exposure to additional data and human feedback.
However, GenAI technologies are often resource-intensive and hard to implement, as they rely on deep learning models with thousands of parameters and require high computational power and memory. For these reasons, cloud platforms, such as AWS, are the perfect place for deploying GenAI models. They provide scalable compute resources, such as GPUs and TPUs, on-demand, reducing the need for costly on-premises infrastructure.
AWS GenAI services
AWS provides a comprehensive set of generative AI services that make building, deploying, and scaling AI-driven applications easier and more efficient. Some GenAI services provided by Amazon are as follows:
Amazon Q: A GenAI-powered assistant used to improve software development. It assists users by generating code snippets, fixing bugs, and optimizing existing code. For example, a developer can use Amazon Q to generate Terraform scripts for provisioning AWS resources, reducing manual effort ...