putin

Elon Musk stated that SpaceX is "quite confident" about achieving 10 gigawatts of computing power online by 2027; the possibility of exceeding 20 gigawatts of computing power online by 2027 is not zero.

Anthropic's IPO draft shows that the company will invest over $600 billion in computing power.

According to Politico, the U.S. Special Envoy for Middle East Affairs, David Satterfield, will facilitate direct dialogue between Russian President Vladimir Putin, U.S. President Donald Trump, and Ukrainian President Volodymyr Zelensky in an effort to achieve a ceasefire.

Cryptocurrency researcher Kerman Kohli published "Compute Financing" on Substack on October 19, 2026, discussing financing for computing power construction. He believes one of the main bottlenecks is capital, especially credit: early expenditures mainly come from balance sheet cash, followed by a shift to equity financing. The article cites Alphabet's $85 billion financing and Meta's fundraising through shareholder dilution, with the next step being the credit market.Kohli summarizes the current beliefs of creditors into three points, which he believes are incompatible: AI may be a bubble; the biggest risk is counterparty risk in purchase contracts; the underlying GPUs are not valuable and depreciate like ordinary hardware. He argues that demand is closer to infinite, stating that the demand for agentic AI is growing by about 2.5 to 5 times each year, with supply potentially doubling by the end of 2030. Memory is expected to sell out by 2027, with computing power commitments reaching trillions of dollars, and he mentions Jane Street's multi-billion dollar commitments, as well as the needs of pharmaceutical companies, research, military, and cybersecurity.Regarding efficiency, he states that when the cost of intelligence drops by 90%, the increase in usage is even greater, with a baseline exceeding 10 times, and he cites Jevons' Paradox.On the topic of purchasing, Kohli believes that computing power is more substitutable than real estate; when demand is strong, if someone withdraws their commitment, others will take over. He mentions that many creditors require 2 to 3 year contracts and down payments of 20% to 30%, sometimes as high as 50%, and locking in long-term discount contracts effectively shorts computing power for lenders. The article also states that computing power rental prices have risen by about 50% in the past 6 months and about 100% in the past year, with B300 supplies being tight. Regarding collateral, he notes that the A100 from 2020 is still operational and rented out until 2029, leading him to believe it has at least about 9 years of use value; the current price of B200 is about 50% higher than when it was released about two years ago, and a 6-year-old A100 is still worth about 25% of its value. He concludes that computing power will surpass real estate to become the largest asset class, and the scale of credit-supported computing power is currently just beginning.

According to The Information, DeepSeek is collaborating closely with Huawei to jointly design the next generation of AI chips, aiming to build models that do not rely on NVIDIA's computing power. Insiders revealed that Huawei engineers have entered DeepSeek's office to understand its model architecture and algorithm requirements, and to test how the chips handle data transmission and compression, with the first compatible chip targeting Ascend 950DT.The report pointed out that this move comes as China pushes to reduce its dependence on American chips. Limited by TSMC's foundry services and U.S. export controls, Huawei's Ascend 950DT is planned for release in 2027, but mass production may be delayed until 2028. To address the chip shortage, DeepSeek is using the TileLang programming language to bypass CUDA restrictions, while still attempting to acquire the banned NVIDIA Blackwell chips through third-party data centers. In addition, DeepSeek is forming a chip team and has begun testing clusters with over 1,000 processors.

According to Bloomberg, citing informed sources, AI cloud computing company Nscale, supported by Nvidia, is in talks with Anthropic to sell computing power, with a deal value potentially around 45 billion dollars.According to the plan, Nscale will build a second facility at its Monarch data center campus located in West Virginia, USA, providing 460 megawatts of computing power, using Nvidia's Vera Rubin chips. Anthropic also holds a priority purchase right for a third facility. Informed sources said the deal could be finalized in the coming days, but details may still change. According to Nscale's IPO application documents, Anthropic had previously signed an infrastructure agreement worth approximately 44.6 billion dollars with them.

NVIDIA (NVDA.O) has completed a record simulation of fault-tolerant quantum computing at the Leibniz Supercomputing Centre.

According to a report by Reuters, AI computing company Tenstorrent has completed a $1.5 billion Series E funding round, with a post-money valuation of $6.2 billion. This round of financing was led by Trace Capital and Innovation X, with participation from both new and existing investors, including Agostinelli Group, ARK Invest, Brett Barna, Cadence Ventures, Eclipse, Fidelity Management & Research Company, Maverick Silicon, Morgan Stanley, Protagonist, Sandisk, T. Rowe Price, Tether Investments, Troluce Capital, Virtu Financial, and XTX Markets.Tenstorrent will use this funding to deploy Galaxy servers on a large scale, continue to serve open-weight models for large language models (LLMs) and video generation, and advance its AI and CPU IP business towards licensing its own chip designs to customers.

According to the Science and Technology Innovation Board Daily, during the sixth RISC-V China Summit, ZTE Microelectronics' subsidiary, Lirui Micro, unveiled the high-performance RISC-V CPU chip, Mount Everest 200, designed for intelligent computing centers. Lirui Micro stated that Mount Everest 200 is the industry's first RISC-V CPU chip aimed at intelligent computing center scenarios, with detailed product specifications to be officially released by the end of this year.Mount Everest 200 focuses on three major scenarios: Agent clusters, inference super-node Hosts, and enterprise-level intelligent computing hybrid inference. It natively supports RISC-V AI instruction acceleration and is optimized for KV Cache and long-context large model inference. This chip integrates various acceleration engines, including Matrix, Vector, compression, and encryption, supports high-speed interconnect interfaces such as DDR5, PCIe, and CXL, and can adapt to RISC-V native AI and GPU acceleration card MoE large model hybrid inference solutions.

Liu Xing, the head of public relations at ByteDance, publicly questioned the claim that "over half of China's AI computing power is used for creating light-hearted dramas," stating that the related data is "somewhat unreliable." He revealed that only about 10% of ByteDance's total computing power is used for training and inference of video generation models, and this percentage also includes model development, not all of it is used for producing short dramas.The controversy originated from an investor communication record disclosed by Chinese Online in June this year. The company stated that 55% of domestic AI Token consumption comes from short dramas and video generation, 24% is used for e-commerce marketing, and software development accounts for only 15%. After this set of data was circulated, it evolved into the claim that "half of China's computing power is used for creating light-hearted dramas," leading to discussions such as "the U.S. creates the future, while China creates light-hearted dramas."

Arthur Hayes recently stated in an interview with The Rollup that the threat of quantum computing to cryptocurrencies is exaggerated, being a known and manageable risk rather than a reason to sell.Hayes believes that the truly practical protection lies in address hygiene, which means avoiding address reuse, using updated signature types, and so on. Most risks are concentrated among those who manage their addresses poorly. Hayes does not believe that quantum computing is a catalyst for panic or selling Bitcoin at this time.

Ethereum co-founder Vitalik Buterin shared that the cost of Bitcoin mining is roughly half derived from capital expenditures on computing power equipment and the other half from electricity consumption; in contrast, the cost of AI inference is almost entirely dominated by capital expenditures on computing power. This difference reflects the distinct cost structures of the two computing businesses. Bitcoin miners need to continuously pay for electricity and determine their profit margins based on mining machine efficiency, coin prices, and network difficulty changes; AI inference, on the other hand, relies more on investments in expensive hardware like GPUs, as well as equipment utilization and computing efficiency.The industrial boundaries of both are also changing. As the demand for AI computing power grows, some Bitcoin mining companies are beginning to shift their existing electricity resources and data center facilities towards AI and high-performance computing businesses, hoping to transition from pure mining to computing infrastructure services. Some mining companies are leveraging previously allocated electricity capacity for mining to enter the AI data center market. However, transformation does not mean that cost pressures disappear: mining operations are more directly exposed to fluctuations in electricity prices and Bitcoin prices, while AI computing businesses must bear risks related to GPU procurement, depreciation, and underutilization. Both types of businesses compete for electricity and computing resources, but ultimately, profitability depends on how these resources are converted into revenue.

According to Bitcoin.com, Bitcoin mining service provider Sazmining has announced the launch of a personal purchase plan, allowing customers to directly own immersion hash boards developed by Block's Bitcoin mining division Proto, which is owned by Jack Dorsey.Sazmining is responsible for the installation, operation, and maintenance of the mining facilities in the United States, and the mined Bitcoin will be sent directly to the customers' personal wallets. Each hash board is priced at $4,187, with a down payment of $1,397, and the remaining amount can be paid in 18 months with zero interest.The equipment is expected to start operating between November and December 2026, with a single hash power of about 200 TH/s and an energy efficiency of about 15 J/TH. Sazmining will charge a uniform rate for electricity and maintenance fees and provide hash board operation services to customers. The company was founded in 2018 and operates mining facilities in the United States, Paraguay, and Norway, serving both individual and institutional clients.

According to Xinhua News Agency, General Secretary of the Communist Party of China and President Xi Jinping emphasized during his inspection in Ulanqab, Inner Mongolia on the 16th that it is necessary to coordinate high-quality development and high-level protection, and to unswervingly follow the path of ecological priority and green development. Xi Jinping learned about the "East Data West Calculation" hub node and the green computing power industry in the Chahar High-tech Zone, and required that completed projects operate efficiently and subsequent construction be completed on schedule.He stated that the computing power network is one of the "six networks" planned and constructed by the country, and the computing power industry is in a stage of accelerated development, emphasizing the importance of "computing power and electricity coordination" and "computing power and water coordination." Xi Jinping also inspected the Huangqi Sea Nature Reserve and required the comprehensive implementation of the Wetland Protection Law.

Russian President Vladimir Putin signed a decree placing the assets of several companies from France, Germany, Sweden, and the Netherlands under temporary management in Russia, including the French flooring manufacturer Tarkett and the German packaging manufacturer Menshen.This move is a response to the European Union's support for Ukraine, and the Kremlin stated that the measures are reversible.

Google announced a breakthrough in the field of quantum computing, stating that its Willow chip has overcome a critical resource bottleneck.Google stated that a technology called magic state cultivation is now running on the Willow chip, reducing errors by approximately 40 times and achieving an accuracy of 99.99%. This research was published in the journal Science, and Google also mentioned that it still needs to prove the effectiveness of this technology under large-scale conditions.

Analyst Jukan published a discussion on the storage industry's cycle, believing that computing power and storage will tighten or loosen in sync, and that there will not be a situation where computing power is continuously in short supply while storage alone turns to surplus. He also stated that the logic of shorting storage while going long on hard drives does not hold, as hard drives are tied to the storage cycle; if this cycle declines, hard drives will struggle to remain secure on their own.Jukan noted that the market lacks a clear judgment on trends after 2027. Historically, prices often peak one to two quarters before supply increases, followed by an expansion in shipments and a contraction in profit pools. He believes that this cycle is different from those of personal computers, smartphones, and general-purpose servers, as the products used are not standardized, and the triggering factors are also different. Some investors who still view storage through the lens of past experiences of profits during upswings and losses during downswings dominate pricing, leading to a low valuation of storage. He stated that a sharp collapse similar to previous ones is unlikely to reoccur, but a gradual decline is possible; even if Samsung and SK Hynix's profit margins are halved from current levels, the price-to-earnings ratio may still be in the teens, about half of the valuation of hard drive companies.He also believes that when storage prices decline, other demands will absorb supply at various price levels, with local AI-driven personal AI demand expected to emerge. If the storage prices pushed up by hyperscale cloud providers cannot be controlled, local AI will struggle to spread. Referring to the transition from mainframes to personal computers and from cloud to smartphones, he anticipates that this AI cycle will shift from cutting-edge laboratories to local open-source AI, with the latter absorbing storage demand. He simultaneously stated that storage prices will not remain high for over ten years; prices will eventually decline, but new consumer demands driven by local AI and open-source initiatives may provide bottom support.

Multiverse Computing has partnered with NVIDIA to launch Comet 60B.

In an interview with Bitcoin Magazine, Capriole Investments founder Charles Edwards stated that for Bitcoin to break through its historical high, substantial changes need to occur. Possible catalysts include significant advancements in quantum computing, a shift in Federal Reserve policy, the U.S. government directly purchasing Bitcoin, or a new round of stimulus events. He also pointed out that institutional buying through ETFs continues to provide strong support for the market.Edwards mentioned that AI-driven unemployment could change the Federal Reserve's policy path, thereby affecting Bitcoin's trend; the continuous rise in computing power constitutes a bullish signal on the Hash Ribbons indicator, and he discussed whether this computing cycle is different in the AI era. Additionally, he assessed whether Bitcoin is still undervalued from the perspectives of production costs, energy value, and MVRV, and talked about the unknown territory Bitcoin occupies in a global liquidity environment with a 5% interest rate.Regarding quantum computing, Edwards believes that a clear roadmap for quantum computing could instead become an upward catalyst for Bitcoin. He also discussed the crypto security risks brought about by superintelligent AI and what factors might trigger the next historical high for Bitcoin.