NVIDIA Webinar
Offer
Developing AVs is a time-intensive and complex process that requires best-in-class AI training infrastructure. Companies developing software-defined vehicles need to accelerate time to market and minimize costs without sacrificing safety.
This webinar examines how to best leverage NVIDIA AI-powered infrastructure and software to accelerate AV development and achieve maximum efficiency. In this webinar, you'll learn how:
- DGX Cloud provides high-performance computing at scale, enabling automotive companies to quickly develop the AI models critical to AV development.
- NVIDIA AI Enterprise provides access to hundreds of AV frameworks, allowing AV companies to create, test, train, and deploy complex AI algorithms.
Before this webinar, we recommend you watch Transforming Transportation with the Metaverse and AI.
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speaker
Dean Harris
Global Business Development, Automotive Enterprise, NVIDIADean is responsible for helping drive NVIDIA's global automotive industry enterprise go-to-market strategy and focused on establishing areas of application for the NVIDIA open, full-stack and software-defined computing platform used in areas of deep learning, data science, and artificial intelligence. Specifically, he's been working on technologies related to autonomous vehicles ranging from AI/deep learning, Data Factory, Validation, Simulation, Replay, Synthetic Data Generation as well as GenAI/LLM, Connected Everything, Smart Mobility, Digital Twins and Immersive Experiences. Dean holds a B.S. in geography and IT certification.
Shyam Kumar
Global BD Lead, HPC & Autonomous Vehicles, AWSShyam is on the High Performance Computing (HPC) specialist organization at Amazon Web Services (AWS) and leads the Business Development activities and Go-To-Market (GTM) strategy for the Autonomous Vehicles (AV) segment. In this role, he helps Automotive OEM's, Tier-1's and Startups leverage the elasticity, scale and technical capabilities of AWS to innovate faster and accelerate their AV development process. Shyam has a Master's degree in Mechanical Systems Engineering, and has held various technical, business development, and sales leadership roles in multiple industries over the course of his career with a focus on engineering simulations and scientific computing.
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Date & Time: Wednesday, April 22, 2018