DeepSeek's advanced large language model has successfully circumvented NVIDIA's CUDA framework, opting instead to leverage direct hardware instructions. This innovative approach enhances hardware efficiency and significantly reduces model training time. Beyond accelerating the training process, this strategic shift fortifies the groundwork for seamless compatibility with domestic GPU chips, reigniting the discourse on the limitations and potential of GPU computing power.
