Generative AI: Optimizing Deployment with NVIDIA NIM on AWS

It provides essential knowledge for IT decision-makers and business leaders looking to leverage generative AI for competitive advantage in today's rapidly evolving technological landscape. Experts from AWS and NVIDIA will detail how using NVIDIA NIM inference microservices on AWS addresses critical hurdles in AI deployment, including complexity, security and cost management, and how it optimizes generative AI for forward-thinking organizations.

Speakers:
Marco Punio
Sr. Specialist SA, GenAI
AWS
Marco Punio is a Digital Native Solutions Architect based in Seattle, WA. He is focused on helping key AWS customers adopt and leverage AWS at scale. He is a qualified technologist with a passion for machine learning, artificial intelligence, and mergers & acquisitions. Marco enjoys writing, reading, exercising, and building applications.

Charlie Huang
Senior Product Marketing Manager, Enterprise AI, NVIDIA
Charlie Huang is a senior product marketing manager for Enterprise AI at NVIDIA. Charlie is responsible for taking enterprise software and accelerated computing to market. He has vast experience in AI/ML, cloud and data center solutions, and security. His roles have included product management and marketing, business development, and strategic alliances. Charlie holds a B.S. in electrical engineering and computer science from UC Berkeley, M.B.A. and M.S. in engineering management from Santa Clara University.

Michael Krieger
Moderator
AI Business