NVIDIA to power smart cities and self-driving cars with latest updates
NVIDIA’s platform for building artificial intelligence-based smart cities ‘Metropolis’ has been adopted by Alibaba and Huawei, which now includes the NVIDIA DeepStream software development kit (SDK) in general availability.
Both the Chinese tech giants have joined more than 50 of the world’s leading organisations that are already using the platform.
Metropolis is an edge-to-cloud video platform that includes tools, technologies and support to build smarter, faster AI-powered applications for everything from traffic and parking management to law enforcement and city services.
As NVIDIA says, the company will take the advantage of more than one billion video cameras that will be installed in the cities by 2020, which will help solve multiple problems. The DeepStream SDK simplifies the development of scalable intelligent video analytics powered by deep learning for AI cities and hyperscale data centres. It can also be used by developers to process, understand and categorise video frames in real-time and meet the most demanding throughput and latency requirements.
The company is planning to bring in more of the world’s best AI firms with a new partner programme designed to expedite the development of new products on the Metropolis platform.
In addition, NVIDIA is also investing $52 million in a Chinese self-driving start-up JingChi, along with a group of investors led by Qiming Venutre.
JingChi uses NVIDIA GPUs and NVIDIA DRIVE PX 2 to develop its autonomous cars. The investment will allow the start-up to quickly scale up its R&D teams in Beijing and Sunnyvale, California, strengthen the deployment of a fully Level 4 autonomous driving test fleet in China by the end of 2017. The NVIDIA DRIVE PX AI platform is important for developing and deploying deep learning capabilities for the company, and other autonomous vehicle projects currently running across the world.
Jeff Herbst, NVIDIA’s vice president of Business Development, said: “AI is reshaping the transportation industry and startups in China and around the world are playing a big part in that. JingChi is making impressive progress on its vision for harnessing deep learning for autonomous driving and we’re dedicated to supporting their important work.”
Interested in hearing industry leaders discuss subjects like this and sharing their IoT use-cases? Attend the IoT Tech Expo World Series events with upcoming shows in Silicon Valley, London and Amsterdam to learn more.
- » Japan's law now allows it to hack people’s IoT devices
- » Port of Rotterdam puts IoT into operation with first application underway
- » The three biggest challenges in preparing IoT data: Getting past the complexity barriers
- » Silicon Labs bets on Bluetooth for IoT-based location services
- » UK launches first 5G smart factory as part of industrial trial