Computing Power Infrastructure "Dies in the Light," Multiple Stocks Including Keychron Technology and Tiantong Holdings Hit Daily Limits

robot
Abstract generation in progress

(Source: Caixin)

In terms of news, NVIDIA’s annual GTC conference kicked off in the early hours of the day. As a global benchmark in AI computing power, this conference will unveil new generation GPU core parameters such as Rubin and “Feiman,” and showcase technological breakthroughs and commercialization progress in infrastructure components like CPO switches, power supply architectures, and liquid cooling.

On March 17, the entire AI infrastructure industry chain experienced a sharp decline, with concepts such as CPO, PCB, NVIDIA-related stocks, liquid cooling, and cultivated diamonds suffering heavy losses. Among them, Tianfu Communication (300394.SZ) and Sifangda (300179.SZ) fell over 10%, while Keshan Technology (603052.SH), Yellow River Cyclone (600172.SH), and Tiantong Shares (600330.SH) hit the daily limit down. Huagong Technology (000988.SZ), Shenghong Technology (300476.SZ), InnoTek (002837.SZ), and Industrial Fulian (601138.SH) also declined along with the market.

Regarding the reasons for the decline, Caixin believes that NVIDIA’s GTC conference, as a top event in the global AI computing power field, had its core topics (such as Rubin architecture, CPO switches, liquid cooling) widely anticipated and speculated on by the market before the event. Stocks related to these concepts (like CPO, PCB, liquid cooling) had already accumulated significant gains prior to the conference, and some investors chose to take profits after the positive news was announced, leading to a price correction.

Additionally, although the conference disclosed new products like the Rubin Ultra chip and LPU inference chip, some technical details (such as mass production timelines and performance parameters) were largely in line with previous market expectations, and no sufficiently “surprising” information was provided. The market’s long-term growth logic for AI infrastructure has been established, but the lack of new catalysts in the short term has increased profit-taking sentiment among investors.

View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • Comment
  • Repost
  • Share
Comment
Add a comment
Add a comment
No comments
  • Pin