Building scalable AI-driven automation presents unique challenges—from orchestrating real-time inference to handling long-running workloads efficiently. In this session, we'll dive into how AWS services like Bedrock, Lambda, Batch, and RDS enable serverless AI architectures. We'll discuss best practices for optimizing costs, managing distributed workloads, and ensuring high availability in AI applications. Using real-world case studies, we'll share lessons learned in deploying AI workflows at scale, including trade-offs in serverless vs. containerized execution and event-driven orchestration strategies.
Bio: Co-Founder at CMND
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