ANN/CHINA DAILY – Huawei Technologies Co said it is committed to building a solid computing base for China and creating a second choice for the world, as it embraces an all-intelligence strategy.
Rotating chairwoman and Chief Financial Officer of Huawei Meng Wanzhou said at Huawei Connect 2023 in Shanghai that computing power is key to the development of artificial intelligence (AI).
Large language models or LLMs require big computing power, which determines the speed of AI iteration and innovation, and even the speed of economic development.
Now, the scarcity and high cost of computing power are constraining the development of AI, Meng said. Computing power roughly refers to the ability to process data. It includes information infrastructure and technologies to support information computing power, data storage and network capacity.
Meng said the goal of Huawei’s all-intelligence strategy is to accelerate the intelligent transformation of various industries, making all things interconnected, all applications modelable and all decisions computable.
Huawei will fully leverage its comprehensive advantages in fields such as computing, storage, networks and energy, and focus on building AI clusters with innovative system architecture to meet the diverse AI computing power needs of various industries, she said.
Her remarks came after her father, founder of Huawei Ren Zhengfei, said in a meeting with students in late August that the United States (US) government sanctions on the company are both pressure and the driving force for Huawei.
Ren said that Huawei previously built its basic platform with the help of US technologies. After the US restrictions, Huawei was forced to switch its platform, according to the transcript of the conversation published.
Ren said after four years of hard work of 200,000 employees, Huawei has established its own platform. In the future, the company may not operate on the same foundation as the US platform, but the two platforms will certainly be connected.
Ren said Huawei invests about USD3 billion to USD5 billion annually in basic theoretical research, working together with universities to study those branches of science that may not have received the level of attention they deserve.
