Managing and optimizing costs for AIML workloads

Many organizations adopt generative AI to achieve high application performance, uncover new opportunities, and build sustained competitive advantage. When building with generative AI, the choices made upfront can significantly impact the overall costs. In this session, we address common questions and challenges around cost management when building AI/ML workloads. Understand the key strategies to prevent unintentional cloud spend, cost-effective infrastructure for training ML models, and alternative hosting options. We explain how you can leverage the latest features in Amazon Bedrock to reduce expenses while maximizing the value of your workloads.

Speakers:
Pauline Kelly, Solutions Architect, AWS
Emma Arrigo, Solutions Architect, AWS