Huawei Pangu AI large model computing chip is independently developed by Huawei. The Pangu AI Large Model computing chip is an AI chip manufactured based on an advanced 7-nanometer process, and an important part of it is the Da Vinci architecture, which is a unique AI accelerator architecture design. The architecture is inspired by the structure and evolution of biological intelligence systems in nature.
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Huawei Pangu AI large model computing chip adopts Da Vinci's thinking and technology, and its computing power and efficiency not only surpass other similar AI chips such as GPU and TPU, but also have high scalability and adaptability. The advent of this chip provides more powerful technical support for the efficient analysis and calculation of deep learning and neural network, and has important scientific and technological value and commercial application prospects.
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To sum up, Huawei Pangu AI large model computing chip is independently developed by Huawei. Huawei has been committed to independent innovation in the field of artificial intelligence, and its self-developed AI technology and chips have made remarkable achievements in the international market.
Huawei's AI chip \"Shengteng\" is designed by Hisilicon and is not listed, and everyone in the computing power link mainly invests in Huawei to make AI chip server manufacturers.
Machine China digital subsidiary Shenzhou Kuntai
Tuowei Information subsidiary Xiangjiang Kunpeng
Sichuan Changhong subsidiary Hua Kun Zhenyu
Tongfang shares Tsinghua Tongfang
Huawei Pangu AI Grand Model is an edge computation-based AI grand model developed by Huawei, designed to help developers quickly build AI applications to meet the needs of real-time and deep AI computing applications.
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It integrates powerful AI frameworks, supports a variety of open source frameworks, such as Caffe,Tensorflow, etc., and supports multi-level computing models that can meet different types of AI computing applications, such as deep learning, machine learning, computer vision, natural language processing, etc.
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In addition, it also supports real-time AI computing, which can quickly achieve real-time responses, thereby improving the performance and efficiency of AI computing applications.