Webinar: Why AI-ready platforms are crucial for generative AI success by VentureBeat

Why AI-ready platforms are crucial for generative AI success

About

Across industries, the opportunities offered by generative AI are capturing the attention of industry leaders and organizations worldwide for good reason. Accenture found that enterprises that adopt gen AI are 2.6X more likely to increase revenue by 10%.

But generative AI also consumes exponentially more compute, resources, networking and storages than any technology that's come before. And accessing and processing data, customizing pre-trained models and running them optimally and at scale requires a complete hardware and software stack, with new technical expertise.

In this VB Spotlight event, industry leaders from NVIDIA and Supermicro will share critical things needed to launch a successful generative AI strategy. First, you'll learn how to identify the most powerful use cases for your organization and tap into your proprietary data. Then the case for accelerated computing – and why it's crucial for best results. And finally, they'll offer up a blueprint for building an AI-ready technology stack, from the essential end-to-end hardware and software, pretrained models, and AI foundries so you can build, customize and run generative AI models for any application, anywhere.

Watch free on-demand now.

on-demand webinar

Agenda

Identify use-cases for enterprise and what’s required for success
How to leverage existing models and internal data for customized solutions
How accelerated computing can improve time to results and business decision-making
How to optimize your infrastructure and architecture for speed, cost and performance
Which hardware and software solutions are right for your workloads

Presenters

Yusuke Kondo

Senior Product Marketing Manager, Supermicro

Yusuke Kondo is a technology enthusiast and leads product marketing for Supermicro’s vast portfolio of high-performance, high-efficiency servers focusing on GPU systems and AI infrastructure. Yusuke has extensive experience managing complex product integrations, APIs, and ecosystem building, and working with technology partners.

Anthony Larijani

Senior Product Marketing Manager, NVIDIA

Anthony is a senior product marketer responsible for driving and executing the marketing strategy for NVIDIA's portfolio of enterprise data center platforms that combine the full power of NVIDIA GPUs, CPUs, networking, and fully optimized software stacks. His key focus areas include generative AI, LLM inference and training, high-performance computing (HPC), and visual computing workloads.

Luis Ceze

Co-founder & CEO, OctoML; Professor, University of Washington (Moderator)

Luis is co-founder and CEO at OctoML, a University of Washington spin-out that aims to make efficient and secure machine learning accessible to everyone and every hardware target. Luis is an award-winning professor of computer science at the University of Washington, where he joined the faculty in 2007. His research focuses on the intersection of computer architecture, programming languages, molecular biology, and machine learning. At UW, he co-directs the Molecular Information Systems Lab where they are pioneering the technology to store data on synthetic DNA and in exploring novel uses of DNA nanotechnology. He also co-directs the SAMPL Lab, which focuses on hardware/software co-optimization for machine learning, and where the TVM deep learning compilation and optimization stack started. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, the IEEE TCCA Young Computer Architect Award and UIUC Distinguished Alumni Award. He is a member of the DARPA ISAT and MEC study groups.

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