China's Didi Chuxing Teams Up with NVIDIA for Autonomous Driving and Cloud Computing
【Summary】Chinese transportation giant Didi Chuxing, which is considered the “Uber of China”, is partnering with Nvidia on self-driving technology as well as cloud computing. At Nvidia’s GTC technology conference today in China, DiDi announced it will leverage NVIDIA GPUs and AI technology to develop autonomous driving and cloud computing solutions.
Chinese transportation giant Didi Chuxing, which is considered the "Uber of China" is partnering with Nvidia on self-driving technology as well as cloud computing. At Nvidia's annual GTC technology conference today in China, DiDi announced it will leverage NVIDIA GPUs and AI technology to develop autonomous driving and cloud computing solutions.
The technology will be used for an autonomous robotaxi service and other mobility technology Didi is currently developing in China.
In August, DiDi spun out its autonomous driving unit into an independent company and began a wide range of collaborations with industry partners, the latest being Nvidia. Didi is plans to launch an autonomous ride-hailing service in Shanghai with plans to expand outside of China in 2021.
DiDi will use NVIDIA GPUs in the data center for training machine learning algorithms and NVIDIA's DRIVE platform for inference on its Level 4 autonomous driving vehicles. Developing and training deep neural network models quickly is key to delivering highly accurate perception systems so autonomous vehicles can make decisions in real-time, a critical part of navigation.
NVIDIA's inference platform using GPU's delivers the performance and responsiveness for running the next generation of AI-powered devices in the cloud or in the data center.
Some applications of deep-learning for self-driving cars are localization, mapping, sensor fusion and navigation. They can also be used for driver monitoring systems.
To support the massive amounts of AI processing used in DiDi's autonomous vehicles, NVIDIA DRIVE platform supports robust sensors fusion, allowing data to be fused from up to 16 vehicle sensors such as cameras, lidar, radar. The DRIVE platform incorporates numerous deep neural networks (DNNs) to understand the 360-degree environment surrounding the car.
"Developing safe autonomous vehicles requires end-to- end AI, in the cloud and in the car," said
Rishi Dhall, vice president of Autonomous Vehicles at NVIDIA. "NVIDIA AI will enable DiDi to develop safer, more efficient transportation systems and deliver a broad range of cloud services."
To train these DNNs, DiDi will use NVIDIA GPU data center servers to take advantage of their much higher processing capabilities. For cloud computing, DiDi will also build an AI-powered infrastructure and launch virtual GPU (vGPU) cloud servers for computing.
DiDi Cloud will adopt a new virtual GPU license mode to provide users with better experiences and more efficient, flexible GPU cloud computing services. Virtualizing a data center GPU allows it to be shared across multiple virtual machines, greatly improving system performance.
Currently, DiDi Cloud is collaborating with industry partners including NVIDIA to provide services in transportation, AI, graphics rendering, video games and education.
Didi Chuxing one of the world's transportation providers. The company completed 10 billion passenger trips last year across Asia, Latin America and Australia and its still growing.
Didi is working toward the safe, large-scale application of autonomous driving technology, leveraging its own technology capacities, data resources and open collaboration with tech companies like Nvidia and various OEM partners.
Originally hailing from New Jersey, Eric is a automotive & technology reporter covering the high-tech industry here in Silicon Valley. He has over 15 years of automotive experience and a bachelors degree in computer science. These skills, combined with technical writing and news reporting, allows him to fully understand and identify new and innovative technologies in the auto industry and beyond. He has worked at Uber on self-driving cars and as a technical writer, helping people to understand and work with technology.
Ford Motor Begins Pre-production of the F-150 Lightning and is Boosting its Investment Due to Strong Demand
China's XPeng Officially launches the More Affordable P5 Fastback, the World's First Production Vehicle Equipped with Lidar
Ford Motor Co, Argo AI & Walmart to Launch an Autonomous Delivery Service in Three U.S. Cities
With New EV Tax Credits Being Proposed, is Tesla & Toyota Being Treated Unfairly Because They Don’t Employ Union Workers?
China’s Baidu Inc. Opens its ‘Apollo Go’ Robotaxi Service in Shanghai
General Motors Invests in Oculii, a Startup Developing Advanced Radar Software for Autonomous Vehicles
Aviva Technology Raises $26.5 Million in Series A Funding for its High Bandwidth, Ethernet-based Automotive Networking Solutions
Toyota to Invest $13.5 Billion in Electric Vehicle Battery Development by 2030
- GM’s Autonomous Driving Unit Cruise to Tap $5 Billion Credit Line to Mass Produce the Origin Autonomous Shuttle
- General Motors Extends Production Shutdown of the Chevy Bolt EV Until Sept 24 Due to Battery Recall
- Volvo Cars to Take Full Control of its Chinese Business From Automaker Geely as it Explores a Possible IPO
- Magna's Proprietary 'eBeam' Axle Tech is a Novel Solution to Electrify Pickup Trucks
- Research Reveals EVs Are Affordable to Maintain, But Costly to Repair
- Former Chinese Minister Says the Country Should Develop a Unified Smart Vehicle OS
- GM Agrees to California’s Emissions Requirement, Wants Federal Help for EV Adoption
- Tesla Completes Construction of its Shanghai V3 Supercharger Factory, Enters Final Testing Phase
- The Biden Administration Asks Automakers to Back its Pledge of 40% of New Car Sales Being Electric by 2030
- The 2022 Electric Jaguar I-PACE Gets a New HSE Trim With a $69,900 Price Tag