Follow
Subscribe

Baidu's Big Plans for Self-Driving with ‘Project Apollo' Include NVIDIA

Home > News > Content

【Summary】Project Apollo is adding major partners from throughout the automotive industry to speed adoption of self-driving car technology. Baidu announced that the Apollo Ecosystem Partners Alliance has grown to over 50 members.

Original Eric Walz    Jul 05, 2017 6:59 PM PT
Baidu's Big Plans for Self-Driving with ‘Project Apollo' Include NVIDIA

Baudi surprised the industry in April when it announced that the company's autonomous driving platform, which includes hardware, software and cloud data services for autonomous vehicles will be made open source and available to companies and developers to use freely.

Yesterday, the company updated their website with a list of major partner companies in the endeavor. The initial release arrived this week at Baidu Create, the company's first AI developer conference held in Beijing. The list of partner companies include Intel, Ford, Microsoft, Daimler, and LiDAR pioneer Velodyne.

Project Apollo is adding major partners from throughout the automotive industry to speed adoption of self-driving car technology. Baidu announced that the Apollo Ecosystem Partners Alliance has grown to over 50 members, including automakers, tier 1 suppliers, component producers, startups, academic institutions and government departments. Southeast Asian ride-hailing giant Grab and mapping systems company TomTom NV are also joining the program, which aims to get fully autonomous vehicles on city streets as early as in 2018.

apollo3.jpg

Baidu and NVIDIA Working Closely on AI

At the Baudi Create conference in China, Baidu announced that it will deploy the NVIDIA HGX cloud computing architecture in its data center, along with Tesla Volta V100 GPUs, which will be used for training neural networks, and Tesla P4 inference accelerators. Other Nvidia technology that will be used for Project Apollo includes CUDA and TensorRT .

Speaking at the conference, Pradeep Gupta, senior technical director at NVIDIA, highlighted how Baidu and NVIDIA have been working together to solve the challenges of developing an AI self-driving driving car.


"We believe AI is the most powerful technology force of our time."  Ian Buck, NVIDIA vice president and general manager of accelerated computing.


"NVIDIA and Baidu have pioneered significant advances in deep learning and AI," said Ian Buck, NVIDIA vice president and general manager of accelerated computing.

"We believe AI is the most powerful technology force of our time, with the potential to revolutionize every industry. Our collaboration aligns our exceptional technical resources to create AI computing platforms for all developers -- from academic research, startups creating breakthrough AI applications, and autonomous vehicles," he added.

"NVIDIA and Baidu have pioneered significant advances in deep learning and AI," said Ian Buck, NVIDIA vice president and general manager of accelerated computing. Our collaboration aligns our exceptional technical resources to create AI computing platforms for all developers -- from academic research, startups creating breakthrough AI applications, and autonomous vehicles," he added.

BaiduWorld_JHH_logos.jpg

"Baidu's wealth of experience has achieved great results in artificial intelligence, deep learning, and high-precision maps," Gupta said. "The Apollo open source program is a great way to build an open autopilot platform, and we welcome other partners to join."

AI is the key to autonomous driving, and is transforming the transportation industry. During CES Asia in Shanghai last month, Baidu displayed AI self-driving capabilities with an autonomous driving demonstration.

Project Apollo will take advantage of Nvidia's Drive PX 2 self-driving car platform. The autonomous car Baidu demoed earlier this year at CES Asia was already using the Drive PX 2 platform. Baidu said that several Chinese car makers, including Changan, Chery Automobile, FAW, and Greatwall Motor, have already joined the Apollo alliance.

Prev                  Next
Writer's other posts
Comments:
    Related Content