Jensen Huang, the founder and CEO of NVIDIA, recently unveiled a groundbreaking new computer system tailored for autonomous vehicles. The DRIVE PX Pegasus AI computer, introduced by the company, is designed to support Level 5 self-driving technology—meaning vehicles equipped with this system can operate entirely without human intervention. In such cars, there's no need for a driver to take control at any point during the journey.
While the vision of fully autonomous vehicles is exciting, experts agree that we're still far from widespread adoption. Even with rapid advancements in technology, significant challenges remain, including the development of necessary legal frameworks and regulatory standards before these vehicles can be officially deployed on public roads.
NVIDIA’s new self-driving car computer represents a major leap forward in the field. It not only supports Level 5 autonomy but also paves the way for the future of "robotaxis"—driverless cars that operate without human input. These vehicles are expected to deliver exceptional performance, meeting various driving demands while ensuring the highest level of passenger safety.
Despite its compact size—about the size of a license plate—the DRIVE PX Pegasus is powerful enough to replace all existing computing systems used in current Level 5 autonomous vehicles. It can process an impressive 320 trillion operations per second and boasts the intelligence equivalent to 100 data centers. This level of processing power is crucial for real-time decision-making and handling complex driving environments.
To accelerate the development of fully autonomous taxis, NVIDIA has partnered with over 25 companies. These partners will use the latest version of NVIDIA’s computer platform to build and deploy their robotaxi fleets. Additionally, NVIDIA plans to provide these partners with next-generation GPUs, which are set to launch later this year.
With continued innovation and collaboration, the future of self-driving cars looks more promising than ever. As NVIDIA continues to push the boundaries of AI and computing, the dream of a fully autonomous world is getting closer to reality.
(Via: ubergizmo.com)
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