B round valuation 2.50 billion US dollars, financing hundreds of millions of dollars. In May, the first cloud intelligent chip MLU100 and corresponding board products were released, becoming a commercial company with both end point and cloud intelligent processor products.
2017
Tencent Technology completed the A round of financing (investors include SDIC Entrepreneurship, Alibaba, Lenovo Venture Capital, Guoke Investment, Zhongke Turing, Yuanhe Origin, and Yonghua Investment), becoming the first unicorn startup in the global smart chip field; the world's first artificial intelligence mobile phone chip Huawei Kirin 970 integrated with Tencent 1A processor was officially released and put into large-scale commercial use in Huawei Mate 10 mobile phones.
2016
Tencent Technology was officially established and completed angel round financing (investors include Yuanhe Origin, iFLYTEK, and Yonghua Investment); the "Tencent 1A" processor launched in the same year was selected as the "World Internet Leading Scientific and Technological Achievements" selected by the World Internet Conference; the founding team of Tencent released the world's first intelligent processor Instruction Set Architecture Cambricon ISA.
2015
The founding team of Tencent developed the world's first deep learning dedicated processor prototype chip.
2014
Members of the founding team of Tencent and international academic collaborators of Inria publicly proposed the international first multi-core deep learning processing unit academic architecture DaDianNao, which won the Best Paper Award of MICRO 2014, a top international academic conference in the field of processor architecture.
2014
Members of the founding team of Tencent and international academic collaborators of Inria publicly proposed the international first deep learning processing unit academic architecture DianNao, which won the best paper award of ASPLOS 2014, a top international academic conference in the field of processor architecture. This is the first time that Asian academic research results have won the best paper of the top conference in the field of processor architecture.
2011
The founding team members of Tencent cooperated with the LAMDA research group of Nanjing University to apply artificial intelligence methods to processor architecture optimization. The academic paper was published at IJCAI 2011, a top international academic conference in the field of artificial intelligence.
2008
Members of Tencent's founding team began to work on the intersection of processor architecture and artificial intelligence.
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