Nvidia's Drive AGX in-vehicle supercomputer, which processes real-time sensor data, is just one of the three computers that make up Nvidia's end-to-end self-driving toolkit. The other two are Nvidia DGX for training AI models and software stacks, and the Nvidia Omniverse platform to test AV software and generate synthetic data in simulation. Toyota has been a customer of Nvidia's other two cloud-based computing systems for years. In 2019, the Toyota Research Institute began using Nvidia's technology to develop, train, and validate its autonomous vehicle technology. Two years prior, the companies shared plans to put Nvidia supercomputers on future Toyota vehicles to power autonomous driving systems. 'Toyota is actually a great example of our cloud-to-car strategy,' Ali Kani, vice president of automotive at Nvidia, said Monday during a press briefing. 'We had already partnered with Toyota in the cloud, and now we're excited to extend that partnership and work with them in the car.'...
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