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NVIDIA Introduces Three Computers for Autonomous Driving

TeqnoVerse
2 min readJan 7, 2025

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Autonomous vehicles are no longer just futuristic robotic projects; today, they operate and transport passengers in the streets of many cities and countries. Companies like Waymo, WeRide, Zoox, and Apollo are among the most well-known.

Nvidia AV Computers

At CES 2025, NVIDIA CEO Jensen Huang highlighted the company’s growing presence in the autonomous vehicle sector, emphasizing its potential to become the first multi-trillion-dollar robotics industry.

NVIDIA strives to equip car manufacturers with the powerful software and hardware processing solutions necessary for developing cutting-edge autonomous driving systems. To achieve this, NVIDIA leverages three core computing platforms:

  1. Training Platform: Powered by the high-performance DGX systems, NVIDIA facilitates the training of autonomous driving models using vast datasets, encompassing both real-world data and synthetically generated scenarios.
  2. Omniverse platform: serves as a powerful platform for simulating and generating diverse driving scenarios. Within this platform, autonomous driving systems can be rigorously tested and validated through a wide range of scenarios. It also leverages NVIDIA’s Cosmos world model to ensure the generated data remains physically accurate and logically consistent, enriching the training process.

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TeqnoVerse
TeqnoVerse

Written by TeqnoVerse

Passionate about Tech: AI, robotics, the metaverse, Bitcoin and crypto! Sharing insights and discoveries from en.teqnoverse.com

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