NVIDIA announced at the keynote speech by CEO Jensen Huang at the NVIDIA GPU Technology Conference (GTC) held on the 26th in Beijing, China, that numerous startups developing autonomous driving vehicle solutions are using the NVIDIA AI platform.

Autonomous vehicles require artificial intelligence to explore driving scenarios that approach near-infinite possibilities. The NVIDIA AI platform provides solutions that span from cloud to vehicle. In data centers, deep neural networks are trained using the NVIDIA DGX system, while NVIDIA DRIVE PX is mounted in vehicles to implement real-time low-latency inference, enabling safe driving.

NVIDIA collaborates with world-leading automotive manufacturers such as Audi, Toyota, Mercedes-Benz, Volvo, and Tesla, while also working with startups that are creating new and significant autonomous driving solutions through innovation and originality.

CEO Jensen Huang stated, "The reason for the enormous investment being made in this field is simple," and added, "It is a field that has major societal impact, and the technologies necessary to achieve autonomy have been established, but because the problem is extremely complex, startup innovation can be sustained for a long time, and the industry itself is very expansive."

Currently, 145 startups centered in China are using the NVIDIA DRIVE platform. CEO Jensen Huang particularly emphasized six companies focusing on different autonomous driving sectors.

Cognata is a company specializing in deep learning autonomous simulation. Simulation is widely utilized in autonomous vehicle development. By constructing virtual worlds that move like the real world, they create a safe and flexible environment where artificial intelligence can learn. Additionally, such simulated environments can run continuously, allowing autonomous driving AI to train 24 hours a day, every day.

Another key technology for implementing autonomous vehicles is HD maps. DeepMap provides full-stack HD map services, and through DeepMap's products, autonomous vehicles can determine their current location and safely navigate complex traffic scenarios.

Momenta is a Chinese startup headquartered in Beijing that develops software for object perception, HD maps, and route planning. Having secured driving data through crowdsourcing, Momenta leverages millions of miles of real-world driving scenarios to train and refine its AI driving algorithms.

Zoox, one of Silicon Valley's most secretive companies, is working to completely recreate the entire mobility industry ecosystem. It is building an on-demand zero-emission shared mobility system, and in an interview with Fortune, when asked whether Zoox was developing a vehicle, founder and CEO Tim Kentley-Klay responded, "No. We are developing what comes after the automobile."

Companies like Navya and TuSimple are demonstrating that autonomy is not limited to vehicles alone. Navya is developing autonomous unmanned electric vehicles for transportation to destinations. The Navya Arma is an unmanned electric shuttle bus capable of transporting up to 15 people and is currently operating in several regions in Europe and the United States. TuSimple, also a member of the NVIDIA GPU Ventures program, is also thinking beyond automobiles and focusing on autonomous trucks. TuSimple is developing technology for autonomous long-distance freight transport and conducting test operations in the United States and China.

JingChi, a newly joined automotive company in the NVIDIA GPU Ventures program, proudly made the list of startups introduced in the keynote presentation. Founded this spring by Tony Han and Jing Wang, who led Baidu's autonomous driving business, JingChi is developing autonomous vehicles using NVIDIA GPUs and NVIDIA DRIVE PX 2.