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Huawei and CAICT Jointly Launch Xinghe Network White Paper, Propelling Rapid Development of AI Industry

Sep, 20, 2023 Hi-network.com

Huawei and CAICT Jointly Launch Xinghe Network White Paper, Propelling Rapid Development of AI Industry

Sep 20, 2023

[Shanghai, China, September 20, 2023] During HUAWEI CONNECT 2023, Xinghe Network White Paper was jointly released by Huawei, China Academy of Information and Communications Technology (CAICT), and iFLYTEK Engineering Institute at the Xinghe Network Summit hosted by the Data Communication Product Line. This white paper delves into the development trends, network architecture, and key technological innovations of AI services, demonstrating the technical leadership of Xinghe Network Solution. Aiming to promote digital intelligent transformation across industries and propel industry upgrade and cooperation, the white paper provides a reference for building a high-performance network for foundation model training.

Guo Liang (left), Chief Engineer, Cloud Computing and Big Data Research Institute, CAICT
Zhao Zhipeng (middle), Vice President, Data Communication Product Line, Huawei
Wang Jinyang (right), Vice President, iFLYTEK Engineering Institute

The white paper points out the major challenges that the network faces in the foundation model era. To begin with, recent years have witnessed AI algorithms entering an era of foundation models with trillions of parameters along with computing power requirements increasing nearly 100,000 times. Foundation model computing requires efficient collaboration between tens of thousands of AI processors. As such, the network needs to be continuously optimized to improve the parallel computing efficiency. In addition, due to the high cost of AI processors, a high-performance network featuring zero packet loss and high throughput is urgently needed to fully unleash the AI processor efficiency. Furthermore, training a foundation model takes a long time, and a cluster with about 10,000 GPUs/NPUs can produce hundreds of thousands of flows. Efficient O&M methods are required to reduce the mean time between failures (MTBF).

To address these challenges, This is where the Xinghe Network Solution comes in.. It stands out with the following innovations:

? High performance:The innovative AI accelerator

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