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first_img The strengthening of the Japanese yen suppresses the US dollar index, benefiting Bitcoin and gold in the short term

The Japanese yen has recently strengthened significantly against the US dollar, with the USDJPY exchange rate falling 1.4% to 156.4, continuing a 0.9% decline from Wednesday. The US Dollar Index (DXY) subsequently dropped 0.4% to 99.22, testing its 200-day moving average around 99.1. Against this backdrop, Bitcoin and gold have risen in tandem, contrasting with the traditional understanding that "a stronger yen usually triggers risk-off selling."Analysis indicates that the strength of the yen is beneficial for Bitcoin primarily because it has lowered the US Dollar Index, and a weaker dollar typically supports dollar-denominated assets and eases global financial conditions. However, if the yen's appreciation accelerates, this dynamic may quickly reverse. Over the past decade, traders have borrowed large amounts of cheap yen to make bullish bets on stocks, bonds, and even cryptocurrencies; a disorderly appreciation of the yen could trigger the unwinding of these positions, leading to risk aversion.The rapid appreciation of the yen has previously put pressure on Bitcoin, most notably during the yen carry trade unwinding in August 2024, when Bitcoin fell about 20% within a few days. Currently, traders are increasing their bets that the Bank of Japan will raise interest rates from 1% to 1.25% at the meeting on September 18, and it has been reported that US and Japanese authorities have previously intervened to support the yen, suggesting that there is little resistance to further strengthening of the yen.

first_img Google disassembles retired servers to recycle DDR4 in response to memory shortages

Google's Senior Director of Supply Chain Infrastructure, Nikhil Cherian, revealed that to overcome memory bottlenecks, Google is developing software and hardware solutions and dismantling retired servers to recycle DDR4 components to establish an internal recycling supply chain. Google has designed special hardware adapters to connect the previous generation DDR4 to the new generation of AI servers while importing retired servers to remove their DDR4 modules for recycling.Cherian stated that the AI industry has rapidly shifted from being compute-constrained to memory-constrained, with high-performance memory accounting for about 75% of the bill of materials cost for a given AI server. A Goldman Sachs report indicated that memory prices will continue to rise in the third quarter, with personal computer DRAM prices expected to increase by 18% to 23% and server DRAM prices expected to rise by 13% to 18%. Trendforce data shows that in August, the spot market prices for DDR4 8GB and DDR5 8GB rose to $142 and $133, respectively.The two TPU ASICs launched by Google this year have been optimized for memory design, claiming to reduce memory demand to one-sixth of the original. The TPU8i chip features a dedicated layered memory design that relies on a high-speed DDR5 memory architecture to perform host-level tasks, with each chip equipped with 288GB of HBM3e high-bandwidth memory.
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