Deploy a Private LLM on AWS Cloud Using Terraform + SageMaker

Join us for an exciting and informative webinar on deploying a private LLM using AWS Cloud, Terraform, and SageMaker. This session is designed for developers and data professionals who are looking to integrate advanced AI capabilities into their applications securely and efficiently. We will explore how to leverage SingleStoreDB for enhanced performance and context-specific interactions, making your applications smarter and more responsive. Our focus will be on creating a private, customizable LLM, capable of Retrieval Augmented Generation (RAG), and integrating it seamlessly into your business logic using AWS services and Terraform.

Experience our live demo showcasing the practical implementation of deploying a private LLM in minutes; get access to the code used during the webinar and join our interactive Live Q&A session to get your questions answered by our team of experts!

What You’ll Learn:

• Deploying a Private LLM on AWS: Understand the step-by-step process of deploying a custom LLM on AWS using SageMaker and Terraform, ensuring a secure and scalable environment.

• Integration with SingleStoreDB: Learn how SingleStoreDB can enhance your LLM by providing custom business context and efficient data management.

• Building a Contextual Chatbot: Discover how to build and integrate a contextual chatbot, like the Kai Shoes eCommerce store example, into your applications.

Speakers

• Wes Kennedy, Principal Technical Evangelist at SingleStoreDB