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With the European Union's Markets in Crypto-Assets Regulation (MiCA) officially coming into full effect on July 1, 2026, it marks the beginning of a new era of unified regulation in the European digital asset market. As the global regulatory framework continues to improve, stablecoin payments are evolving from a focus on "pure efficiency" to "compliance, transparency, and trust," accelerating their transformation into core infrastructure for enterprise-level payments.As a provider of enterprise-level stablecoin payment infrastructure, WasabiCard consistently practices a "compliance first" development philosophy. By continuously strengthening core risk control capabilities such as AML (Anti-Money Laundering), KYC (Know Your Customer), and KYB (Know Your Business), it is committed to building a secure, transparent, and sustainable foundation for global payments.As stablecoins rapidly penetrate core business scenarios such as enterprise treasury management, cross-border payments, and B2B settlements, compliance capability has become the primary consideration for enterprises when choosing payment channels. In the future, WasabiCard will leverage its core capabilities of "global issuance, stablecoin payments, global remittance, and fund distribution" to deeply integrate a comprehensive compliance system with business scenarios, helping global enterprises confidently navigate the evolving regulatory environment and significantly enhance the security and compliance efficiency of their global operations.

According to a report by 21 Finance, Huang Zhenxin, the head of Kimi B-end at Moonshot AI, stated in a recent communication meeting that there is indeed a bubble in the current AI industry, but the fundamentals are very solid. Enterprises can now clearly calculate the return on investment (ROI), and the substantial transformation in productivity brought by AI has already occurred.Regarding the recent phenomenon of widespread price increases among model vendors, Huang Zhenxin pointed out that the core reason lies in the rising global computing power costs, and chip production capacity cannot meet the explosive growth in Token demand. He emphasized that evaluating the cost-performance ratio of models should not only look at the unit price of input and output but should also focus on the Cache hit rate. It is reported that Kimi's original factory Cache hit rate has reached over 90%, significantly reducing actual computing costs.In addition, Huang Zhenxin revealed that Kimi will continue to challenge innovations in underlying architecture to sustain the Scaling Law, and its Muon optimizer, which has been validated on a large scale, is now widely adopted by several mainstream large models in the industry. Regarding the "last mile" of enterprise AI implementation, he believes that as the foundational capabilities of models continue to strengthen, the technical paradigms at the application layer will also continue to simplify.

According to C114 Communication Network, China Mobile has recently established a "Token Office" at the group level, directly led by the core leadership of the group, with the general manager of the Strategic Development Department serving as the executive deputy director, a position higher than the previous Computing Power Office.It is reported that this department aims to streamline the entire process of "creating Tokens, delivering Tokens, and applying Tokens," breaking the previous situation where multiple secondary departments such as the Computing Power Office, Mobile Cloud, Digital Intelligence Business Unit, Marketing Department, and Government and Enterprise Business Unit operated independently. Its core mission is to promote the implementation of two underlying capabilities in the intelligent era of China Mobile: first, to introduce the MobileClaw intelligent framework with a rich "skill package," and second, to gather over 300 mainstream models on the Mobile MoMA model platform, to accelerate the commercial implementation and large-scale operation of operators in the dimensions of AI network infrastructure and model application.

CITIC Construction Investment Research Report points out that the following factors will determine the trend of the third quarter market: In terms of fundamentals, AI computing power remains at a high level of prosperity, with mid-year performance and overseas financial reports worth paying attention to. At the same time, since April, under pressure from the macro economy, the economic measures from the Politburo meeting in July are quite important; In terms of liquidity, external disturbances have increased, while internal conditions remain neutral; In terms of risk appetite, geopolitical events and the listing of industry giants will cause short-term fluctuations in the market. Considering the global tech stock correlation effect, major overseas computing powers such as Japan, South Korea, and the United States also need to be continuously monitored.In terms of industry allocation, although the logic of AI computing power remains unchanged, volatility has intensified. It is recommended to be cautious about chasing highs and to position during pullbacks; lithium batteries are expected to welcome a peak season, and energy storage demand continues to warm up, while new energy presents opportunities for phased valuation recovery; dividends are expected to rebound from oversold conditions, with relatively high cost-performance ratios. Key areas to focus on: banks, coal, public utilities, AI, optical modules, storage, chips, industrial metals, lithium battery materials (VC), etc.

According to a report by the Financial Times cited by Jinshi, Google has imposed limits on Meta's use of its Gemini AI model, as Meta's computing power exceeds what Google can provide.The report states that Google informed Meta around March that it could not meet all of the Gemini computing power that Meta sought to purchase, adding that this gap disrupted and delayed some of Meta's internal AI projects. The report also noted that several other clients of Google were affected, but to a lesser extent. The Financial Times stated that Meta was particularly severely impacted due to its exceptionally high demand for Google's models.

According to monitoring by Catcher Predict, in the market prediction event "Dota 2 Power Rangers vs Yellow Submarine European Qualifiers" on Polymarket, the "Yes" option for the sub-market "Both Defeat Roshan" has experienced a dramatic fluctuation in win rate, soaring from 50% an hour ago to the current 90% (a fluctuation of 40%). Please note the impact of related breaking news.

According to WEEX TradFi data, the US stock market has been fluctuating recently, with funds continuously focusing on AI infrastructure-related directions, among which the AI power and energy sector has shown strong performance. Among them, Eaton (ETNON, a leader in data center power management) rose by 3.15%, Vistra (VSTON, an AI power and generation company) rose by 2.22%, and GE Vernova (GEVON, a leader in grid equipment and generation facilities) rose by 1.65%. WEEX Labs believes that the expansion of AI computing power continues to increase the power demand of data centers, and power management and energy infrastructure are becoming important supporting links in the AI industry chain, with increasing attention on related assets.

According to official news, the computing power market infrastructure company Ornn announced the completion of a $33 million seed round financing, led by a16z Crypto, with participation from Galaxy Ventures, Nordstar, and SV Angel, while Vine Ventures, Crucible Capital, Link Ventures, and Box Group continue to support.Ornn stated that a mature commodity market first requires reliable pricing data, which leads to price discovery, and price discovery then supports risk transfer, which in turn enables more efficient capacity allocation. The OCPI it launched is a transaction-based computing power index aimed at providing a unified and trustworthy price benchmark for settlement in the computing power market. Partners like ICE can promote risk transfer by directly referencing OCPI's futures and options contracts.Additionally, Ornn announced the launch of Ornn Compute, a physical capacity layer for the computing power market that can aggregate dedicated GPU capacity from multiple neoclouds onto a single platform, providing a unified access process, a secondary transfer market, and on-demand subleasing capabilities. Operators can obtain diversified demand from multiple tenants through a single underwriting contract, while buyers can view the sites, hardware configurations, and terms of the reserved clusters. This platform will make dedicated GPU capacity a liquid asset and allow previously idle capacity to be utilized.

The B.AI platform's "custom service provider" model matrix has officially expanded, with the latest integrations of mainstream large models such as Moonshot (Kimi series) and Z.ai (GLM series).This module covers four major discount groups: 10% off, 40% off, 60% off, and 80% off. Users can generate a personalized "discount model invocation Key" with a single click, allowing for flexible switching between core business and daily testing, achieving a precise balance of high availability and low cost.In addition, all discounts can be stacked with a maximum 1:1 recharge bonus, further lowering the computational power threshold. Starting today, log in to the B.AI console to customize your exclusive model combination and immediately enter the era of AI invocation with exceptional cost performance.

At the ISC High Performance Computing Conference held in Hamburg, Germany, the latest edition of the global supercomputer TOP500 and energy efficiency Green500 rankings was officially released. The data shows that NVIDIA technology has powered more than 400 of the world's 500 fastest supercomputers, accounting for 81%, and nearly 90% of the newly ranked systems.In terms of hardware distribution, the list includes 376 systems that utilize NVIDIA networking technology, 238 systems accelerated by its GPUs, and another 26 systems that use Grace CPUs. In the Green500 ranking, which measures green energy efficiency, the top 8 positions are all driven by NVIDIA GPUs, with the KAIROS system based on the Grace Hopper superchip taking the top spot. Additionally, supercomputing systems based on the new Blackwell architecture (B200 and GB200) have also made their debut on this ranking.

According to a report by The Information, the confidential IPO registration draft submitted by OpenAI shows that as of the end of March 2026, OpenAI's balance sheet exhibits "light asset" characteristics, with zero debt on the books and capital expenditures of only $46 million in the first quarter. However, in reality, the company has placed substantial infrastructure expenditures off the books, with future procurement commitments in chips, energy, and data centers reaching up to $665 billion. Financial data indicates that OpenAI's actual net loss in the first quarter was approximately $8.5 billion, with revenue costs amounting to $3.5 billion.Additionally, OpenAI demonstrates a very high characteristic of related-party funding cycles. In the first quarter, 72% of its revenue costs and 45% of total expenditures flowed to related parties (expected to be primarily Microsoft), and it directly used $488 million in equity to settle part of its computing power bills. In the data center joint venture project within its consolidated financial statements, nearly $5 billion in book losses is accounted for as belonging to external partners. The documents also reveal that its main competitor, Anthropic, is similarly engaging in large-scale off-balance-sheet expansion, including $4.5 billion in data center service commitments and $35 billion in chip leasing orders.

According to Jinshi reports, SpaceX has signed a computing power agreement with the American AI startup Reflection, with a transaction amount of up to 6.3 billion dollars.

The MiniMax M 3.0 free computing power event launched by the B.AI platform on June 18 is now in the countdown phase and will end in 3 days. It is reported that new users who log in to the platform for the first time through Binance Wallet or Bitget Wallet can receive a reward of 1 million free Credits.In addition, during the event, the platform offers a recharge cashback mechanism. Users can receive a 1:1 equivalent Credits bonus for recharging on the BNB Chain, and a 1:0.5 ratio bonus for recharging on other public chains, with a maximum cumulative bonus limit of 100 USD equivalent per user. According to the information, the MiniMax M 3.0 model previously ranked first in the Artificial Analysis open-source model leaderboard.

ENS DAO has initiated a new Temp Check ("temperature check" or "preliminary review") governance proposal aimed at expanding the authority of the ENS Foundation to cover areas such as operational management, funding projects, and long-term financial management. According to the proposal, ENS token holders will retain ultimate control over the protocol and the power to remove board members.