US Chip Giant nvidia While there are great advantages on the CUDA computing platform, Openai may not be wise to invest heavily in “scaling methods.” Artificial Intelligence (AI) Development and A rivalry between US-China technology.
Li Guojie, a well-known computer scientist at the Chinese Academy of Sciences, said the country’s AI accelerator chips, including Huawei Technologies’ Ascend series, Hygon Information Technology’s deep learning computing unit, and Cambricon Technologies’ AI accelerator chips, are comparable to NVIDIA’s offerings in terms of hardware capabilities.
But Nvidia’s true core strength was in it CUDA Ecosystem – Engineers use to develop applications for the company’s graphics processing unit (GPU) – China said it needs to develop alternative systems to achieve self-sufficiency with AI.
“deepseek Li, 81, has affected the Cuda ecosystem due to the remaining barriers, but has not completely bypassed Cuda.
“In the long term, we need to establish a set of controllable AI software tool systems that surpass CUDA.”
Li likened China’s efforts to replace western hardware fluctuation systems such as Windows, Intel, Android and Arm with the need to build an AI software ecosystem. “It’s a very difficult task and requires careful planning and long-term effort,” he said.
