Core Viewpoint - The company, iFlytek, has revised the use of funds from its 4 billion yuan private placement, allocating 2.4 billion yuan for computing power platform construction, while the remaining 1.6 billion yuan will be evenly distributed for the development of the Spark Education large model and typical products, as well as for working capital [2] Group 1: Fund Allocation and Strategy - The initial plan on August 22 allocated 3.2 billion yuan for working capital and 800 million yuan for the development of the Spark Education large model and typical products [2] - iFlytek aims to expand its computing power scale through a computing power leasing model to support large model research and algorithm upgrades [2] - The company is currently researching a new version of the iFlytek Spark large model that requires a larger-scale domestic computing power cluster for support [2] Group 2: Domestic Computing Power Development - iFlytek claims to have independent and controllable computing power compared to other domestic large model manufacturers [2] - In October 2023, iFlytek launched the first fully domestic intelligent computing platform, "Feixing No. 1," based on Huawei's Ascend 910B chip, achieving over 90% performance of a similarly scaled NVIDIA A800 cluster [2] - The company plans to train China's first trillion-parameter large model based on domestic computing power by January 2024 [3] Group 3: Challenges and Collaborations - The industry still heavily relies on NVIDIA's ecosystem for larger parameter models and algorithm innovations, facing challenges in adapting and optimizing algorithms based on domestic computing power [3] - iFlytek collaborates with domestic computing power manufacturers like Huawei and Cambrian to address hidden issues in domestic computing hardware and software [3][4] - The company acknowledges that adapting to new algorithms and architectures on domestic computing platforms incurs additional costs and time, slowing down model release progress [4]
科大讯飞拟用24亿元定增资金租赁国产算力,已与华为等协作