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Nvidia: AI Training for Self-Driving Vehicles [On-demand Webinar]


We discuss the key considerations in selecting the optimal AI infrastructure required to train deep neural networks for safe self-driving systems, including data requirements and computing performance needed, and how to use NVIDIA DGX-1 for training autonomous vehicles.



On-Demand Webinar: AI Training for Self-Driving Vehicles

On-Demand Webinar: AI Training for Self-Driving Vehicles


Autonomous vehicles fueled by artificial intelligence (AI) will revolutionize the $10 trillion transportation industry. AI gives cars and trucks the power to see, think, and learn, so they can safely navigate the nearly infinite range of possible driving scenarios. Properly scaling the AI infrastructure in your data center is critical to delivering safe autonomous vehicles to the market.

In this webinar, we discussed the key considerations in selecting the optimal AI infrastructure required to train deep neural networks for safe self-driving systems.

Specifically, we covered:
  1. Understanding the data requirements and computing performance needed to solve self-driving challenges
  2. Using NVIDIA DGX-1™ as a building block for deep learning training for autonomous vehicles
  3. How Zenuity is using AI technology to enable their researchers and data scientists to make autonomous vehicles smarter and safer

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