BTC $63,309.07 -1.98%
ETH $1,845.05 -3.73%
BNB $570.64 -1.73%
XRP $1.08 -2.10%
SOL $74.86 -2.49%
TRX $0.3214 -0.75%
DOGE $0.0720 -2.47%
ADA $0.1596 -3.09%
BCH $222.72 +0.40%
LINK $8.25 -3.24%
HYPE $59.86 -9.66%
AAVE $90.66 -5.73%
SUI $0.7395 -2.32%
XLM $0.1838 -1.69%
ZEC $536.04 -5.15%
BTC $63,309.07 -1.98%
ETH $1,845.05 -3.73%
BNB $570.64 -1.73%
XRP $1.08 -2.10%
SOL $74.86 -2.49%
TRX $0.3214 -0.75%
DOGE $0.0720 -2.47%
ADA $0.1596 -3.09%
BCH $222.72 +0.40%
LINK $8.25 -3.24%
HYPE $59.86 -9.66%
AAVE $90.66 -5.73%
SUI $0.7395 -2.32%
XLM $0.1838 -1.69%
ZEC $536.04 -5.15%

am

All
Article
Flash

Cambridge Research: The United States hosts about 31% of Ethereum nodes, with over 1/3 of the nodes offline or affecting final confirmation

The latest research from the Cambridge Centre for Alternative Finance shows that approximately 31% of Ethereum node activity is located in the United States, with about 39% distributed in the EU region excluding the UK, indicating that the geographical distribution of Ethereum nodes is still relatively concentrated in Western countries. The research leader, Alexander Neumuller, stated that the current node distribution is not concentrated in a single country but primarily relies on a few cloud service providers, including Hetzner, Amazon AWS, and OVH.It is noteworthy that the Ethereum network does not require half of the validators to fail for issues to arise; when more than one-third of validators go offline simultaneously, the network may be unable to complete the finalization of block checkpoints. Neumuller pointed out that nodes and validators do not have a one-to-one correspondence; a single node may run multiple validators, making it currently impossible to accurately assess the actual impact of a specific node or service provider failure on the validation network. Additionally, the research reassessed the energy consumption situation after Ethereum's Merge. The data shows that Ethereum's current annual energy consumption is approximately 7.9 GWh, equivalent to about 1 megawatt of continuous power, which is only about 0.02% of the pre-Merge level, with energy consumption decreasing by approximately 99.98%. Currently, the proportion of sustainable energy used by the Ethereum network exceeds 56%, higher than the global average. The research also pointed out that the concentration of client software is another potential risk; if a dominant client has a vulnerability, it could affect a large number of network participants. The report was published by the Cambridge Centre for Alternative Finance, with support from the Ethereum Foundation.

Changxin Technology's global DRAM market share reaches 9%, with the 15% "survival line" being key to entering the top tier

According to the latest report released by market research firm Counterpoint Research, Chinese memory chip giant Changxin Technology (CXMT) currently holds a 9% share of the global DRAM market (by bit shipments), and this figure is expected to rise to 11% by 2028 (with a revenue share of 9%). The report indicates that Changxin Technology is transitioning from an industry "challenger" to a "strategic player," with a long-term goal of achieving a bit shipment share of 20% and a revenue share of 15% by 2035.However, the report emphasizes that to truly establish a foothold in the global memory market and join the ranks of the "big three DRAM manufacturers," Changxin Technology must cross the global market share threshold of 15% to 17% (about one-sixth). Historical experience shows that in 2008, Taiwanese DRAM manufacturers could not secure the massive funding needed for the research and development of the next generation of fabs after their market share fell below 15%, ultimately causing their market share to plummet to the edge of 3%. Therefore, the 15% share is seen as the core survival line for Changxin Technology to ensure sustainable development and self-sustaining capabilities in the medium to long term.To cross this threshold, Changxin Technology is leveraging newly raised funds to accelerate capacity expansion, planning to double its capacity by 2030 and triple it by 2035. Although facing external challenges such as U.S. equipment export controls and global supply chain access, analysts believe these restrictions may instead act as catalysts, forcing Changxin Technology to accelerate independent innovation in cutting-edge technologies such as Vertical Channel Transistors (VCT) and Wafer-on-Wafer bonding, thereby narrowing the gap with industry leaders.

The dark side of the moon plans to release the Kimi K3 large model soon, with a parameter scale reaching 2 to 3 trillion, closely following the leading teams in the United States

According to the Financial Times, informed sources reveal that the Chinese AI unicorn company Moonshot AI plans to release a new large language model, Kimi K3, in the near future. This model has between 20 trillion to 30 trillion parameters, making it the largest AI model in China by parameter scale, and its performance is expected to surpass the flagship model Claude Opus 4.8 from Anthropic in mainstream benchmark tests (industry speculation suggests its parameter count is around 15 trillion to 20 trillion).Unlike the currently mainstream closed-source and expensive cutting-edge large models in the United States, Kimi K3 will be available as an open-weight model for users to download and modify for free, which may create competitive pressure for leading American labs like OpenAI and Anthropic. Currently, due to the rising service fees for large models in the U.S. (for example, Anthropic has announced a 50% price increase for Opus 4.8 in September), some overseas companies have begun to shift towards using more cost-effective Chinese open-source models.In terms of the capital market, informed sources indicate that Moonshot AI is preparing for a new round of financing, with the latest valuation expected to reach approximately $31.5 billion. Meanwhile, the valuations of other AI giants in China and the U.S. are also rising; DeepSeek is starting a new round of financing with an estimated valuation of about $71 billion, while Anthropic and OpenAI have reached valuations of $965 billion and $852 billion, respectively, in their latest round of financing. In response to the aforementioned release and financing rumors, Moonshot AI has currently declined to comment.
app_icon
ChainCatcher Building the Web3 world with innovations.