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Introduction

NVIDIA DRIVE Orin has now entered production, delivering a major leap in deep neural network (DNN) inference performance.

In this webinar, we will cover DNN architectural designs, as well as the scope of  NVIDIA TensorRT and real-world use cases to deliver optimized inference engines for production. We will also demonstrate how to obtain deterministic results as needed in production.

In this webinar, you will learn:

  • The newest features of TensorRT 8 on NVIDIA DRIVE Orin
  • How to optimize the performance of NVIDIA DRIVE Orin
  • How to apply TensorRT 8 to state-of-the-art DNNs, improving throughput and latency

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

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.

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Speaker

Fabian Weise

Solutions Architect, Autonomous Driving, NVIDIA

Fabian Weise is a solutions architect for artificial intelligence and cybersecurity for autonomous driving at NVIDIA. His goal is to drive AI in Europe, the Middle East, and Africa to excellence by working on state-of-the-art (SOTA) deep neural network architectures and optimizing them using TensorRT for the latest NVIDIA hardware. Previously, he was responsible for ultra-scaling the Neural Tissue Simulator using SOTA parallelization techniques, followed by crypt analysis exploiting IBM Z systems while at IBM Research, and then worked in the Microsoft National Security Office, leading and coordinating global cyber operations.

Shyam Kumar

Global BD Lead, HPC & Autonomous Vehicles, AWS

Shyam 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