Austin AWS User Meetup May 2026

🚀 Join us for exciting tech sessions!

Session(s)
First Presentation:
Ramya Siruvuri Sr. Solutions Architect, AWS
Mythili Annamalai Sekar, Solutions Architect, AWS

Session Title : AI-DLC: Transforming How Organizations Build Software in the AI Era

Discover how AI-Driven Development Life Cycle (AI-DLC) revolutionizes software development by making AI a true collaborative partner while keeping humans in control of critical decisions. This session explores how organizations achieve dramatic improvements in productivity, quality, and time-to-market through a structured approach that balances AI-powered automation with human expertise and strategic oversight. Learn how AI-DLC addresses real business challenges—from reducing development costs to accelerating innovation—while maintaining the business alignment and judgment that only human teams can provide. Whether you're a business leader, technical professional, or simply curious about AI's transformative impact, you'll gain insights into this methodology that's reshaping how software gets built.

Second presentation:
Kunle Olutomilayo, PhD, Founder & CEO, Isiro
Session Title: Cost Optimization for AI Inference on AWS

AI inference is rapidly becoming a major cost driver, especially for GPU-based production workloads where memory movement—not just model size or precision—often limits efficiency. This session introduces ISIRO Runtime, an inference efficiency layer that reduces GPU memory traffic and associated cost and energy consumption without changing model precision or output behavior. We will explore how ISIRO Runtime compiles models into an execution-native representation optimized for efficient GPU execution, integrates with existing stacks such as vLLM and TensorRT-LLM, and enables side-by-side benchmarking for throughput, latency, memory traffic, and estimated savings on AWS GPU infrastructure. The session will also cover secure model execution features, including protected model artifacts, runtime access controls, and alignment with confidential computing environments, providing attendees with a practical framework for optimizing inference across cloud, on-prem, and edge AI deployments.

Don't miss this opportunity to learn and stay ahead.

Agenda:
5:00 - Door open, security check-in
5:30 - Welcome, food, & networking
5:50 - Sponsor
6:00 - Presentation: AI-Driven Development Life Cycle
6:45 - Presentation: Cost Optimization for AI Inference on AWS
7:30 -Closing, networking

Thank you, finout.io, for sponsoring the event!