According to CoinMeta, high-frequency traders such as [Jane Street] are no longer just competing in speed; they also bet heavily on computing power to avoid being eliminated. As reported by Cailian News on October 23rd, for many years, high-frequency traders like [Jane Street] and [Hudson River Trading] have engaged in a nanosecond-level speed race. However, the competition among Wall Street market-making giants has now gone beyond mere speed. They are also competing in computing power, which is the fundamental processing capability at the core of the [AI] revolution. For high-frequency traders, investing in this area to obtain stronger computing power and faster chips is unquestionable. These companies profit mainly by executing trades quickly and matching buyers and sellers, taking advantage of tiny price differences. As they increasingly use machine learning to predict market behavior more accurately, their performance is directly linked to their computing power.