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first_img Arkham: Bitmine ETH holdings are approaching the 5% target, and after reaching the target, it is most likely to slow down buying rather than stop

According to Arkham Research, Bitmine, the world's largest Ethereum treasury company, currently holds approximately 5.81 million ETH, valued at nearly $11 billion. After 14 months of continuous accumulation, its holdings have reached 4.8% of the ETH supply, achieving about 96% of its publicly set acquisition target of 5%. Unlike Bitcoin treasury companies such as Strategy, Bitmine has used over 5 million ETH for staking to earn interest, with an annualized staking income estimated at approximately $257 million based on a yield of about 2.63%.According to Arkham's analysis, the most likely scenario for the trajectory after reaching the 5% target is that Bitmine will slow down its purchases. On-chain data shows that its acquisition pace has already slowed this year, and after surpassing 5%, it may shift towards balance sheet management and maximizing staking returns. The second most likely scenario is to continue buying at the same pace. Considering that Tom Lee, co-founder of Fundstrat, who leads this strategy, has consistently been bullish, it is possible that they will continue to increase their holdings after breaking through 5%. The least likely scenario is to completely stop buying. If this largest enterprise-level ETH buyer in the market exits the demand side, it may temporarily weaken bullish sentiment, but even without new additions, its staking holdings will still grow passively through network rewards.

AI infrastructure startup Trajectory has completed a $40 million financing round, with participation from Sequoia Capital

According to The Information, AI infrastructure startup Trajectory announced the completion of a $40 million financing round, with a post-money valuation of $300 million, co-invested by Sequoia Capital. The specific financing round and other investors have not been disclosed.Trajectory was founded by researchers from tech companies such as Google and Apple, and primarily helps businesses customize open-source AI models for specific business needs, as well as optimize the software toolchain that supports AI Agent operations (referred to as "Agent Harness"). As the costs of using closed-source large models continue to rise, more and more companies are looking for alternatives: on one hand, they are reducing costs by fine-tuning and customizing open-source models, and on the other hand, they are improving the Agent execution framework to enable AI models to more effectively call tools and execute tasks.This trend is driving a new wave of entrepreneurial enthusiasm around model adaptation and Agent infrastructure. Trajectory aims to address key issues faced by enterprises in deploying AI Agents, including model performance optimization, task execution reliability, and adaptation to enterprise scenarios. The company hopes to help businesses build more efficient and cost-effective AI applications by providing model customization and Agent operation infrastructure.Investors believe that as AI evolves from simple chatbots to Agents capable of autonomously executing complex tasks, a new layer of infrastructure around model optimization and Agent engineering will become an important market. In recent years, Sequoia has also continued to increase its investment in the AI infrastructure sector, including investments in AI Agents and enterprise AI applications.

hot_img SK Hynix will expand its NAND production capacity in Dalian by about 50%, with the second factory in Dalian expected to start production in the first half of next year

SK Hynix has restarted the construction of its second NAND flash memory factory in Dalian, expecting to increase the monthly production capacity in the region by about 50%. The new production line is designed for a monthly capacity of approximately 50,000 wafers, combined with the existing Dalian Plant 1's monthly capacity of 100,000 wafers, bringing SK Hynix's total NAND production capacity in China to about 150,000 wafers per month. The factory began construction four years ago but was paused due to the downturn in the memory chip market and U.S. export restrictions on equipment to China, having only completed the structural framework.The investment in Dalian Plant 2 is driven by SK Hynix's NAND subsidiary Solidigm, with equipment installation expected to start as early as November this year, and plans to establish a mass production system in the first half of next year. Driven by the expansion of AI data centers, demand for enterprise-level SSDs has surged, with NAND prices rising nearly tenfold compared to a year ago, prompting the restart of investments. SK Hynix will adopt a dual-track strategy: the Dalian factory will use Intel's mature floating gate architecture to produce NAND at the hundred-layer level, while domestic factories like Cheongju M17 will focus on advanced NAND production of over 300 layers, the latter having announced an investment of 19.1 trillion won. Industry insiders expect that the equipment configuration of Dalian Plant 2 will be similar to that of Plant 1, maintaining a monthly production capacity in the range of 40,000 to 60,000 wafers.
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