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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.

Vice Governor of the Central Bank Lu Lei: The boundaries of responsibility for intelligent payment systems cannot be ambiguous, and a self-discipline convention will be released

According to Mobile Payment Network, Lu Lei, a member of the Party Committee and Vice President of the People's Bank of China, stated at the 15th China Payment Clearing Forum that intelligent agent payments must not blur the boundaries of responsibility between consumers, operating institutions, and algorithm systems. Lu Lei believes that the essence of payment is the transfer of fund ownership, which objectively requires that the results of transactions are predictable, responsibilities are definable, and traces are traceable. Large models and autonomous intelligent agents have characteristics such as output randomness and insufficient transparency of logic. If transaction decision-making authority is blindly or excessively granted to intelligent agents, it will affect the trust foundation of fund transactions. The current governance rules of the payment industry and dispute resolution mechanisms are built around "humans as the final decision-makers in transactions." The new model of intelligent agents automatically initiating and assisting in transactions easily blurs the boundaries of responsibility, and the existing governance rules need to be optimized and improved.Regarding the issue of insufficient compatibility of protocol standards in the field of intelligent agent payments, Lu Lei emphasized that the dispute over protocols is essentially a dispute over business rules and technical standards, as well as a struggle for dominance in the era of artificial intelligence. The People's Bank of China continues to strengthen its tracking research on technological innovation, especially intelligent agent payments, guiding the Payment Clearing Association to leverage its advantages in industry self-regulation. Based on extensive soliciting of opinions, they will formulate and publish the "Self-Regulatory Convention for Intelligent Agent Payment Applications," and will continue to work on coordinating protocols and standards, as well as innovating risk governance. Lu Lei proposed three hopes to market institutions: actively respond to and implement the industry self-regulatory convention, with payment security and risk prevention as the bottom line, and consumer rights protection as the focal point; continuously track the trends of cutting-edge technologies such as large models and intelligent agents both domestically and internationally, and build technical reserves and application capabilities; adhere to the principle of rules and standards first, strengthen coordination and compatibility among different protocols and standards, and cooperate with regulatory authorities to promote the construction of a foundational protocol and technical standard system for intelligent agent payments.
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