Recently, Robert Bosch Venture Capital (hereinafter referred to as "Bosch Venture Capital"), a subsidiary of Bosch Group, has completed its investment in Cambrian Xingge (Nanjing) Technology Co., Ltd. (hereinafter referred to as "Xingge").
Headquartered in Nanjing, Xingge is a leading high-end autonomous driving chip company in China. With its rich experience in high-computing artificial intelligence chips, Xingge is developing chips with high TOPS (Tera Operations Per Second) and high programming flexibility to cope with the surge in data volume and continuously evolving algorithms in future autonomous driving systems.
According to McKinsey data, global autonomous driving chip revenue is expected to increase from US$11 billion in 2019 to around US$29 billion in 2030, of which 30%-40% of the market is in China. With its market advantages and the software and hardware ecosystem jointly built with its parent company Cambricon Technologies Co., Ltd., Xingge will provide local customers with better technology and product support through more efficient product development.
"China is the world's largest and fastest-growing autonomous driving market, and chips are the cornerstone of the autonomous driving industry. With its strong VLSI chip design capabilities and the artificial intelligence industry ecosystem created by Cambrian's parent company, Xingge will better support the development of China's autonomous driving industry," said Sun Xiaoguang, investment partner and head of China business at Bosch Venture Capital. "The investment in Xingge will further enrich our layout in the field of autonomous driving."
General high-computing power autonomous driving chip research and development layout
As autonomous driving develops towards L3 and higher levels, autonomous driving systems have put forward higher requirements for chip computing power and versatility. As a result, there are not only higher challenges for chip design itself, but also higher requirements for algorithms and software ecology. Xingge has accumulated rich practical tape-out experience in all aspects of general-purpose high-computing power chips, including system architecture, software ecology, and design implementation. Its design prototypes have shown industry-leading performance in a variety of network models.
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