Nexar, a leader in AI-powered mobility solutions, announced a collaboration with NVIDIA aimed at transforming the automotive landscape. By combining NVIDIA’s AI and computing capabilities to help process Nexar’s extensive real-world vision data, the collaboration sets a new benchmark in precision, predictability, and real-world physical AI applications.
It’s impossible for current test fleets to encounter the rare and dangerous scenarios or extreme conditions necessary to train a self-driving car to safely handle the real world. And current physical vehicle testing can’t validate at a large enough scale—it’s limited and a costly endeavor for companies working on AVs.
Through advances in AI and accelerated computing, semantic video search and simulation has emerged to create useful datasets to safely test and validate self-driving technology.
“Collaborating with NVIDIA allows us to accelerate our AI development and expand the impact of our company’s real-world data across industries,” said Zachary Greenberger, CEO of Nexar. “Together, we’re not only enhancing AV technologies but also driving meaningful advancements in safety and mobility.”
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“By bridging Nexar’s high-quality real-world data with NVIDIA AI-powered simulation environments, we are paving the way for OEMs and developers to refine their autonomous vehicle training, high-definition mapping, and predictive modeling,” said Norm Marks, Vice President of Automotive at NVIDIA.
The collaboration aims to enhance NVIDIA Cosmos world foundation models with Nexar’s real-world data, with more than 100 million miles captured each month. This will also accelerate Nexar’s AI development efforts as they leverage NVIDIA Cosmos, and NVIDIA DGX Cloud platform to accelerate Nexar’s large AI model training.
The work between Nexar and NVIDIA will help accelerate the development of fine-tuned AV world foundational models, enabling the ecosystem on the path toward full autonomy.
Source: PRNewswire