The AI industry chain is experiencing low-level fluctuations. Pay attention to the opportunities in the AI ETFs: E Fund Artificial Intelligence ETF (159819) and E Fund Innovation and Entrepreneurship Artificial Intelligence ETF (159140).

On March 30, in the AI industry chain sector, stocks traded in a low-range with fluctuations. Performance was somewhat differentiated internally: sectors such as communications equipment and IT services were active, while the chip design sector saw the biggest declines.

On the index level, the CSI Artificial Intelligence Theme Index fell 0.4%, the CSI STAR Market and ChiNext Artificial Intelligence Index fell 0.5%, and the SSE STAR Market Artificial Intelligence Index fell 1.1%.

The China Academy of Information and Communications Technology (CAICT) noted that, against the backdrop of AI technology accelerating its iteration and evolution, China’s demand for intelligent computing power is shifting from large-scale expansion to more efficient upgrades. AI computing nodes have become the core computing units supporting the development of intelligent computing power. AI computing nodes are a technical architecture used to build large-scale computing clusters—meaning multiple GPUs are integrated into a single logical unit to form a system similar to a “supercomputing node.” Compared with traditional architectures, this node integrates multiple computing chips into computing units through high-speed interconnect technologies, effectively addressing the issues of computing power coordination and efficiency in training large AI models, and achieving a significant improvement in efficiency.

Daily Economic News