Infrastructure as Code for Generative AI 🚀

As enterprises embrace generative AI, robust infrastructure becomes crucial for scalable, reliable deployments. Join Neelam as she explores using Infrastructure as Code (IaC) and the AWS Cloud Development Kit (CDK) to streamline your GenAI application infrastructure.

You'll learn:
✅ Challenges of deploying GenAI apps without IaC
✅ Benefits of IaC: version control, consistency, automation
✅ Architecting with AWS CDK - VPC, web app, and GenAI backend stacks
✅ Defining infrastructure in your preferred programming language
✅ Hosting web apps with Amazon ECS and load balancing
✅ Orchestrating GenAI inference with SageMaker, Bedrock or EKS
✅ Decoupled APIs for text gen, image gen using API Gateway & Lambda
✅ Best practices for avoiding over-abstraction and leveraging AWS services

Whether you're building text summarization, chatbots, or image generation apps, IaC with AWS CDK provides the scalable, versionable foundation to power your GenAI innovation.

Stop wrestling with manual deployments - unlock agility, consistency and productivity by codifying your GenAI infrastructure.

Additional Resources:
AWS CDK: https://aws.amazon.com/cdk/
AWS Generative AI CDK Constructs: https://github.com/awslabs/generative-ai-cdk-constructs

Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN

#AWS #AmazonWebServices #CloudComputing #BackToBasics #GenerativeAI #GenAI #AmazonSageMaker #AmazonBedrock #AWSCDK #InfrastructureAsCode