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Automotive OEMs, mapping companies, and ISVs are developing high-definition maps using an array of sensors to enable autonomous driving and open new business models. These companies are all working together to develop HD maps that will enable safe autonomous vehicle deployment and efficient transport of people and goods, creating new business models and services in mobility, delivery, and logistics markets.
In this webinar, experts will provide an overview of how the new technologies, such as the NVIDIA RAPIDS set of GPU-accelerated libraries running on NVIDIA A100 GPUs, can help mapping and location-based service providers exponentially speed up their map-creation and location-based services workflows while reducing overall costs.
In this webinar, experts will provide an overview of how the new technologies, such as the NVIDIA RAPIDS set of GPU-accelerated libraries running on NVIDIA A100 GPUs, can help mapping and location-based service providers exponentially speed up their map-creation and location-based services workflows while reducing overall costs.
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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.
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Speakers
Rambo Jacoby
Principal Engineer for Mapping, NVIDIARambo is a product manager involved in many aspects of NVIDIA’s AV infrastructure, including HD mapping, simulation, and enterprise applications. He's a 20-year veteran of NVIDIA, where he has served in engineering, technical marketing, and product management roles across many segments, including gaming, virtual reality, and automotive.
Nathan Stephens
Senior Manager for Developer Relations, NVIDIANathan is a Senior Manager for Developer Relations at NVIDIA. His background is in analytic solutions and consulting. He has experience building data science teams, architecting analytic infrastructure, and delivering innovative data products. He is a longtime advocate for operationalizing data science using open-source software.
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