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WeChat fully "opens the floodgates."
Tencent's e-commerce makes a strong breakthrough.
A Look Into HDFC Bank Inc's Price Over Earnings
Choosing between A-shares or Hong Kong stocks, Technology or non-Technology? Goldman Sachs' Research Reports respond to two major hot topics in investing in China.
① Currently, should investors continue investing in Hong Kong Stocks or shift to the A-share market? Should the focus be on the Technology Sector or shift to Consumer, Real Estate, and other non-Technology sectors? ② On Wednesday, Goldman Sachs' chief China Stocks strategist, Liu Jinjing, provided an analysis in his report.
After the low-key release of DeepSeek-V3, the industry was shocked and once again questioned the Silicon Valley model.
① DeepSeek released the V3-0324 model on Monday evening, with preliminary tests showing that it can run on Consumer-grade Hardware, breaking the traditional notion that large models require a Datacenter; ② DeepSeek's model continues to reduce the energy consumption and computing costs of large models while maintaining an open-source approach to continuously drive technological innovation, leading to the rapid development of the domestic AI Industry and raising questions about Silicon Valley's closed and paid model.
Goldman Sachs significantly lowered the Global AI Server shipment volume, and simultaneously adjusted the corresponding supply chain stock price expectations downward.
Goldman Sachs believes that factors such as the impact of the product transition period, supply and demand uncertainty, and production complexity challenges will lead to a slowdown in market growth, reducing the shipment volume of rack-level AI servers in 2025 and 2026 from 0.031 million units and 66,000 units to 0.019 million units and 57,000 units (calculated as 144-GPU equivalent).
The "gap" in the implementation of the DeepSeek large model integrated machine | Depth
① The customer demand for the DeepSeek all-in-one machine has significantly increased, more than doubling compared to the customer density brought by ChatGPT in the previous two years. ② Currently, there is a severe shortage of relevant technical talent in government and enterprises, and there is a considerable gap between large models and their Business implementation.
