Nvidia Hits Record High as Market Value Reaches $5.7 Trillion
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Nvidia's market value evaporated by $1 trillion in less than two months, with its valuation falling back to levels seen before the AI boom.
According to Mars Finance, after losing approximately $1 trillion in market capitalization in less than two months, Nvidia stock has hit its lowest level since the artificial intelligence (AI) boom fueled its surge. The chipmaker's graphics processing units (GPUs) still dominate the AI data center market. However, its share price has fallen 16% since hitting an all-time high on May 14th, prompting investors to adjust their AI trading strategies, selling Nvidia and investing in other semiconductor manufacturers, particularly those in the memory market. Data shows the sell-off has driven Nvidia's price-to-earnings ratio (P/E) to 18 based on its expected earnings over the next 12 months. The last time it reached such a low level was in early 2019. To better understand the depth of the decline, a comparison with benchmark stock indices shows that the S&P 500 has a forward P/E ratio of 20, and the Nasdaq 100 has a forward P/E ratio close to 23. (Cailian Press)
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Guangdong: Support Guangzhou, Shenzhen, Foshan, Dongguan and other cities to take the lead in building high-value-added intelligent computing centers.
According to Mars Finance, 11 departments, including the Guangdong Provincial Government Service and Data Management Bureau, recently issued the "Guangdong Provincial Action Plan for Promoting the Digital Transformation of Cities and Building Smart Cities," which mentions optimizing the layout of urban computing networks. Addressing the development needs of megacities and urban clusters, the plan calls for a comprehensive planning of urban computing center systems, constructing a cloud-edge-device collaborative computing network. It also emphasizes accelerating the construction of an all-optical network foundation for cities, creating a high-quality computing capacity network capable of "millisecond-level computation," achieving millisecond interconnection of computing centers, millisecond-level access to computing services, and millisecond-level response to computing applications. The plan supports Guangzhou, Shenzhen, Foshan, and Dongguan in taking the lead in building high-value-added intelligent computing centers, flexibly deploying edge computing nodes to meet the high-bandwidth, low-latency, and high-reliability computing power requirements of scenarios such as low-altitude economy, autonomous driving, and the industrial internet. (Cailian Press)