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According to a report by The Information, Microsoft has reduced its capital expenditures for the third quarter by about $5 billion due to delays in the third-party data center it plans to lease. Sources say that the data center project by Iren located in Childress, Texas, has encountered delays, leading Microsoft to postpone some expenditures. Microsoft had previously announced plans to invest $9.7 billion over five years to lease servers equipped with NVIDIA GPUs from Iren.Power supply and grid access have also become bottlenecks for computing power delivery. Last month, Microsoft withdrew from a plan to lease a data center project in the UK from Nscale due to delays in grid access. As self-built data centers struggle to meet demand in a timely manner, Microsoft is simultaneously leasing computing power from multiple cloud service providers.Meanwhile, AI server supplier Supermicro continues to raise its performance expectations. The company's revenue for the first fiscal quarter reached $19.95 billion, exceeding analysts' expectations of $16.39 billion, and it expects revenue for the second fiscal quarter to be between $19.5 billion and $21.5 billion. The revenue forecast for fiscal year 2027 has also been raised from $65 billion to $72 billion to $72 billion to $82 billion. Bernstein pointed out that assessing AI computing power demand cannot simply rely on contract amounts or megawatt scale; it also needs to consider contract cancelability, duration, and actual deployment time; some projects may be delivered in phases, and chip procurement agreements may correspond to the same batch of computing power as data center leasing contracts.

Bitcoin mining company turned AI cloud computing service provider IREN announced its first quarter results for the fiscal year 2027 ending September 30, 2026, with total revenue increasing by 66% quarter-over-quarter to $228 million. Among this, AI cloud business revenue grew by 182% quarter-over-quarter to $200 million, with a gross margin of 86%; Bitcoin mining revenue fell from $67 million in the previous quarter to $28 million. The net loss for the quarter was $263 million, compared to $684 million in the previous quarter, with adjusted EBITDA at $66 million.The company's contract revenue backlog increased by 22% quarter-over-quarter to $20.3 billion, with contracts and funding support already secured for the annual recurring revenue target of over $4 billion. Due to customer design adjustments and supplier delivery timelines, the expected realization time has been postponed from the end of 2026 to January 2027, and it may extend to February. Additionally, after the end of the quarter, the company signed a five-year AI cloud service contract, priced at approximately $22 million per megawatt, with the customer prepaying 90% of the GPU capital expenditures.

Cloud service company Iren expects to make significant investments in the foreseeable future, including capital requirements related to agreements with Microsoft and Nvidia.

OKX will launch the USDC trading pairs for tokenized stocks xIREN and xASML on November 4. The xIREN/USDC spot trading will open at 17:30, and the xASML/USDC spot trading will open at 18:00.

According to a report by Investing.com, the Nasdaq-listed company IREN Limited (IREN) has completed a $363 million equipment financing deal with Wingspire Equipment Finance for refinancing GPU servers and network systems deployed in data centers.Wingspire completed the transaction in conjunction with six lending institutions, with Eldridge Capital Management and Silver Point Capital as the main investors. The financing is secured by the related equipment and supported by long-term customer contracts, allowing IREN to recover a certain percentage of the original cost of the equipment, although the specific percentage has not been disclosed.

X user Irene Patrikios (@crypto_irene) announced that she has been appointed as the Chief Business Officer of the fully homomorphic encryption company Zama. She stated that she has been working in the cryptocurrency industry for nearly 12 years and believes that blockchain requires institutions, enterprises, and individuals to publicly operate financial activities, a gap that has long existed and is difficult to support large-scale funds on-chain. She joined the company in November 2025, before the launch of the Zama mainnet, and stated that confidentiality is the infrastructure that enables institutions holding global capital to truly go on-chain, and Zama is providing this capability.Irene Patrikios also mentioned that over the past year, Zama's business team has reached collaborations with several major participants to launch confidential DeFi and establish a business pipeline. Zama's CEO Rand Hindi and the board are increasing support for the next phase of the team's development. She expressed her gratitude to Rand Hindi, the board, and the Zama team.

According to the Miner Weekly briefing published by BlocksBridge Consulting, Bitcoin mining companies expanding into the fields of artificial intelligence and high-performance computing are facing significantly different borrowing costs, with lenders increasingly scrutinizing large data center projects. The briefing points out that securing large AI clients is only part of the challenge; mining companies also need to raise billions of dollars to purchase computing power equipment, build data centers, and ensure the power infrastructure required for contract fulfillment. BlocksBridge indicates that large lending institutions have become more selective about data center loans, with decisions increasingly depending on client qualifications, contract terms, and project completion paths.The transition from Bitcoin mining to AI infrastructure by IREN reflects the differences in financing costs: the company secured $3.65 billion in GPU financing in June at a blended interest rate of 6%; in August, it completed another $2.4 billion financing with a fixed interest rate of 9%. The two agreements correspond to different projects and are not directly comparable, but they show that even within the same company, borrowing costs can vary significantly. Financing arrangements may also incur costs beyond interest; in another transaction involving Cipher Digital, Google guaranteed a $1.4 billion lease obligation in exchange for warrants representing a 5.4% equity stake in Cipher, with exercising the warrants potentially diluting existing shareholder equity.The rise in financing demand highlights the overall challenges mining companies face in entering the AI market. Data from VanEck shows that during the peak of the Bitcoin bull market in October last year, mining company debt surged by approximately 500% compared to the second quarter of 2024.

On October 12, 2026, the financial technology company Yirendai released a statement through its public account, stating that it had noted the public security report released by "Ping An Beijing Chaoyang" on that day, and that the relevant situation should be based on the official announcement.Yirendai stated that the company operates independently as a publicly listed entity, focusing on financial technology and AI technology innovation. The company mentioned that no direct relationship with Yirendai's business has been found regarding the reasons involved in this incident, and that operations remain normal, with all business activities progressing in an orderly manner.The company also stated that it will strictly adhere to regulatory requirements, maintain compliant and stable operations, protect the legal rights and interests of partners and users, and express gratitude for the attention from all sectors.

According to CoinDesk, the market started cautiously this week due to the strengthening of the US dollar and rising US Treasury yields. Bitcoin is trading above $83,000, while gold hovers around $4,180 per ounce, with both down about 0.5%. Tech stock futures are slightly lower, WTI crude oil has risen above $92 per barrel, and the US dollar index (DXY) remains above 102.4.The US inflation data to be released this Wednesday will become the focus of the market. The market expects the year-on-year growth rate of the core CPI in the US to be 2.5%, and the overall CPI year-on-year growth rate to be 3.7%. If these expectations are met, it will accelerate compared to last month and may further influence the market's judgment on the Federal Reserve's monetary policy.In addition, according to market news, IREN, which has shifted from Bitcoin mining to AI infrastructure business, has reached a multi-year cloud service agreement with the artificial intelligence company Anthropic. Following the announcement, IREN's US stock rose about 4% in pre-market trading.

According to Bloomberg, Shanghai Birun Technology (Hong Kong stock code 6082) plans to raise approximately HKD 4.04 billion (USD 515 million) to support its artificial intelligence business. The company intends to place 130 million new shares at a price of HKD 31.08 per share, with the related arrangements based on documents from the Hong Kong Stock Exchange.The placement price represents a discount of nearly 10% compared to Wednesday's closing price. Bloomberg reports that Birun is one of the GPU developers receiving support from Beijing, and this financing is part of a wave of fundraising for Chinese artificial intelligence companies.

According to Bloomberg, AI startup Mirendil, founded by former Anthropic researchers, is negotiating a new round of financing, with a post-money valuation expected to reach $5 billion. Sources say that Kleiner Perkins is in talks to lead the round, which could bring in up to $1 billion in new funding, and Andreessen Horowitz is also in discussions to participate.Three months ago, Mirendil completed a $200 million seed round led by the aforementioned two firms, with a valuation of $1 billion. The company was established earlier this year and is dedicated to building self-improving AI models, with plans to launch a cutting-edge model early next year.

Cryptocurrency asset management company CoinShares stated that the shift of Bitcoin miners to AI has reached a level that is difficult to reverse even with a native Bitcoin recovery.At least 35 EH/s of computing power is planned to leave listed mining companies, among which the listed Bitcoin mining company IREN plans to exit by the end of the year, and Cipher may follow by the end of 2027.

According to The Block, Bernstein expects that the Bitcoin mining company IREN will achieve an annual revenue of $17 billion from its AI cloud business by 2030, at which point cloud capacity will expand to approximately 2 gigawatts.Bernstein anticipates that IREN will cease its Bitcoin mining operations by the end of 2026 and notes that the pricing for three-year AI cloud contracts has increased by about 125% since last November.

According to Bloomberg, a fund under Blue Owl Capital has led a $2.4 billion debt financing to support cloud service provider Iren in purchasing NVIDIA's Blackwell Ultra GPU for its data center campus in Canada.The financing includes a $1.2 billion senior secured term loan and an equivalent amount of senior secured notes, structured to allow Iren to procure equipment in phases over a specific period. Pacific Investment Management Company is also one of the guarantors of this financing. Documents show that the financing interest rate is 9%, with a term of two and a half years.

According to The Block, research and brokerage firm Bernstein stated that Bitcoin mining company IREN plans to invest $25 billion to $30 billion to expand its AI cloud business in fiscal year 2027. This scale of capital expenditure may "scare the market," but analysts believe investors are overlooking the improving economic benefits.Bernstein analyst Gautam Chhugani pointed out in a report to clients on Friday that the payback period for GPU capital expenditures has shortened from about three years under the 2025 Microsoft contract to about two years. IREN's fiscal year 2026 performance released on Thursday showed that AI cloud service revenue grew nearly eightfold from $16.4 million the previous year to $128.8 million, while Bitcoin mining revenue reached $578.2 million, a year-on-year increase of 19%. Total revenue rose from $501 million to $707 million, but the company recorded a net loss of $702.6 million, partly reflecting a $638.8 million impairment due to the retirement of Bitcoin mining hardware to support AI cloud expansion.Bernstein stated that IREN currently has an annualized run rate revenue of $1 billion from operating cloud and $4 billion in contract revenue, with its 2026 capacity nearly sold out. In addition to the expected $700 million related to the Nvidia contract in 2027, IREN's total contract cloud ARR amounts to $4.7 billion. Over the past 12 months, IREN has raised $19 billion through customer prepayments, GPU financing, convertible bonds, and equity issuance.

IREN's revenue for the fourth quarter of fiscal year 2026 was $137.2 million, which was basically in line with expectations; adjusted EBITDA was $19.2 million, about 53% lower than expected. AI cloud service revenue increased from $33.6 million to $70.5 million quarter-over-quarter, while Bitcoin mining revenue decreased from $111.2 million to $66.7 million.The company currently operates an ARR of approximately $1 billion, with capacity for 2026 nearly sold out, corresponding to a contracted ARR of about $4 billion, and has signed a multi-year contract with a frontier AI lab. Recently, the three-year contract revenue per IT MW exceeded $20 million, with some negotiation prices around $25 million.IREN plans to increase its cumulative IT capacity from approximately 0.3GW in 2026 to about 0.8GW in 2027; existing cash, committed GPU financing, and customer prepayments total approximately $14 billion.

According to Ember Monitoring, addresses related to the significant drop of SIREN in June have transferred 1.324 billion XPIN, worth approximately $1.71 million, to Binance Alpha in the past two hours.Subsequently, the price of XPIN fell from $0.0017 to $0.0012, a decrease of about 29%.

IREN Co-Founder and Co-CEO Daniel Roberts stated that each new AI data center will further increase rather than decrease AI demand.Roberts believes that simply comparing the current AI infrastructure cycle to past technology booms is misleading. More powerful AI requires more computing power, and lower-cost AI will drive more users and applications to use AI.He pointed out that each leap in AI capabilities creates a large number of new application scenarios that did not exist before, so demand can grow rapidly at the pace of software development, but the supply of computing power cannot expand at the same speed.The construction of computing power infrastructure is limited by real-world conditions such as power access, transmission lines, concrete, steel, and construction personnel, making it difficult to quickly increase the speed of supply expansion.Roberts stated that in past technology boom cycles, technological advancements often helped the supply side catch up with demand, but the current AI technology itself is driving demand to grow exponentially, while the speed of infrastructure construction in the real world struggles to keep up.

According to HyperliquidNews monitoring, TradeXYZ has purchased CRWD, NET, and IREN three HIP-3 trading codes with 500 HYPE each, with each trading code valued at approximately $27,800, totaling 1500 HYPE, valued at approximately $83,300.

According to TechCrunch, AI research startup Mirendil has reached a multi-year partnership agreement with Google Cloud to gain large-scale computing resources to support its "self-improving AI" development.Mirendil co-founder and CEO Benham Neyshabur revealed that the total value of the agreement exceeds $100 million, which is about half of the $1 billion valuation seed round financing amount completed by the company at the end of June.Under the agreement, Mirendil will receive TPU and NVIDIA GPU computing resources provided by Google Cloud, as well as managed AI training clusters, to develop AI systems capable of continuously optimizing their own capabilities.It is reported that Mirendil is dedicated to developing "recursive self-improving" AI, which means AI systems can enhance their performance through continuous iteration, self-learning, and optimization. This direction is also a research area of interest for some of the top AI laboratories currently.