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Box CEO Aaron Levie stated that the significant increase in AI tokens and computing power consumption will come from large-scale autonomous agent clusters operating internally within enterprises, rather than personal assistants. He anticipates that the related tokens and computing power consumption could see an increase of about 100 times.Aaron Levie mentioned that the usage of personal agents will generally be capped per person. Knowledge work is currently limited by the ability of humans to generate, transmit, and produce information; at this stage, most agents are still tasked by humans, compressing about 3 to 5 hours of work into approximately 10 minutes, still constrained by the speed at which humans initiate tasks.He further stated that true significant growth will occur when backend agents are deployed in clusters to execute tasks that are completely decoupled from human initiation. The above remarks were quoted by @MTSlive.

On October 13, Ruantong Power was reported to have received 8,000 NVIDIA GPU cards, specifically the NVIDIA 6000D (domestic "special edition" of the Blackwell architecture), which will be used for the production of related servers.

Multiple venture capital firms in Silicon Valley are competing to secure GPU computing power to provide exclusive resources for their AI startups. a16z established a computing power pool of about 20,000 GPUs as early as 2024 and is negotiating expansion with data center companies Switch and Volta. General Catalyst plans to build a data center for its portfolio companies and has brought in the former head of NVIDIA DGX Cloud in May this year to oversee AI infrastructure operations.Even if AI startups complete their financing, they may not be able to rent GPUs in a timely manner. In April this year, major cloud providers like Microsoft were reported to prioritize allocating computing power to internal teams and large clients, leaving some startups facing months of waiting. a16z previously disclosed that during times of computing power shortages, prices that could originally be secured with a six-month contract might require a three-year commitment. Model training requires a large amount of GPU usage in a short period, while inference demand is difficult to predict, making it easy to waste funds by locking in computing power for several years in advance.a16z is concentrating on purchasing and leasing computing power through the Oxygen project, redistributing it to its portfolio companies, allowing them to access prices and contract terms typically reserved for large clients. In August this year, a16z co-led a $300 million financing round for Volta, which is valued at $2.4 billion, with investments covering both AI startups and data center companies providing computing power. The small venture capital firm Crucible Capital has built a cluster with 576 NVIDIA B300 GPUs for its portfolio companies to test, while also selling some computing power to a cutting-edge AI laboratory. This model allows venture capital firms to take on investments that were previously mainly borne by cloud providers and data center operators.

The computing power and inference cost trading platform Itô co-founder Affaan announced that the Itô team has joined the trading company Jump Trading, responsible for its computing power trading business. Affaan and co-founder Alejandro stated that the team will lead the newly established internal computing power trading desk at Jump Trading and has begun trading in this emerging market.According to their introduction, Itô initially hoped to leverage the new contract market to help enterprises address the centralized AI supply chain risks that the existing system struggles to cover. After communicating with over a thousand funds, enterprises, venture capital institutions, and related practitioners, the team focused on the intermediate market for computing power and inference costs. They noted that the common contract duration for capacity is 3 to 5 years, with about 30% requiring prepayment, while the revenue for late seed round to Series C companies is mostly settled monthly and based on usage, and the secondary market prices for popular chips are also quite volatile.Affaan also mentioned that the total contract value for related medium market clusters sometimes ranges from hundreds of millions to several hundred million dollars. Itô previously built a platform as an end buyer, with team members' backgrounds including Goldman Sachs' credit basket business, open-source engineering tools, and supercomputing cluster research. They stated that Jump Trading's conditions in credit, risk control, trading experience, and hardware led them to choose to advance this business through an internal trading desk.

Navitas Semiconductor announced a collaboration with NVIDIA (NVDA.O) to develop an 800V to 12V power conversion board for next-generation AI infrastructure.

AI computing power operator KONST has completed a $30 million Series B financing round, led by ADATA Technology, with strategic investments from M Mobility and other venture capital firms.The new funds will be used to expand the construction of its AI data centers and accelerate the Token factory strategy.

SWI Group has raised 800 million euros (approximately 895 million dollars) from institutional investors to expand its artificial intelligence data center and computing power infrastructure layout in the United States and Europe.The company also plans to transform eligible old Bitcoin mining sites into artificial intelligence infrastructure and is actively seeking to reach cooperation agreements with hyperscale cloud service providers.

Grayscale's Research Director Zach Pandl stated in his column The Stack on October 8 that the rising demand for AI is due to decreasing usage costs and technology's ability to perform tasks more autonomously, thereby increasing the demand for computing power and the physical infrastructure that supports AI. Lower costs can unleash more AI activities, and the low-cost competition of open-source weight models is driving down token prices, making cheaper intelligence economically viable for more applications and automated workflows.The article cites that Anthropic's latest Sonnet model claims to reduce the cost of each task by up to 30%; OpenAI's always-on agent dots, launched on September 29, can work towards user goals around the clock, potentially significantly increasing the demand for computing power. Pandl compares that chatbots primarily answer questions, while agents execute multi-step processes to achieve goals, with tasks like preparing for client meetings potentially consuming 5 to 50 times the tokens of a single chat interaction, and always-on agents may extend processing beyond a single conversation.Pandl cites Goldman Sachs' prediction that by 2030, token consumption could increase 24 times, primarily driven by agents; even with improved efficiency, if usage grows faster, the total demand for computing power may still rise. He points out that digital activities still rely on physical infrastructure that requires time to deliver, such as electricity, data centers, and GPUs, and cheaper AI can coexist with tight computing power supply, mentioning that CoreWeave recently signed new contracts at higher computing power prices. His conclusion is that cheaper intelligence and stronger agents may expand use cases and usage enough to offset efficiency gains, thereby supporting the demand for scarce computing power and benefiting its owners.

According to Bits media, the Russian Ministry of Energy stated that cryptocurrency miners apply for grid access under the fourth category of power supply reliability. Such users can be directly cut off by the authorities at any time without prior negotiation.This category was established by the government in February this year, allowing technical access in areas where energy shortages have been declared and mining has been prohibited. The Ministry of Energy stated that this move can effectively utilize existing energy infrastructure while not threatening the reliability of power supply to residents.

Jan van Eck stated that allowing more nuclear power projects can simultaneously boost AI and Bitcoin: on one hand, it raises the value of AI, and on the other hand, it alleviates the selling pressure on Bitcoin by providing cheaper energy for miners. There is strong bipartisan support for nuclear energy in the United States, with the goal of increasing nuclear power output to four times the current level within 25 years, as evidenced by the accelerated restart of the Three Mile Island nuclear reactor.Matthew Sigel, Head of Digital Asset Research at VanEck, stated that miners holding long-term power contracts and infrastructure have undervalued option value; if miners shift to AI contract revenue, the pressure to sell Bitcoin will consequently decrease.

According to CoinDesk, Bitcoin is facing selling pressure, marking the third time since September 23 that it has been blocked near $87,000. FxPro analyst Alex Kuptsikevich stated that since the beginning of last week, BTC has formed a trend of "gradually higher local lows," but bulls have not yet gained sufficient upward momentum.The current price is approaching the apex of a triangle formed by horizontal resistance and an ascending support line. If this pattern is broken, the market may experience greater volatility. The total market capitalization of the cryptocurrency market has fallen back to about $2.93 trillion. Meanwhile, U.S. stocks have performed strongly, with the Nasdaq 100 index reaching a new closing high and the S&P 500 index less than 0.5% away from its historical peak. However, U.S. Treasury yields continue to rise, with the 10-year Treasury yield climbing to 5.32%, close to its highest level since 2002.Market observers believe that for BTC to break through $87,000, sufficient buying pressure is needed to absorb the selling pressure that continues to appear around this price level. Once it stabilizes at this level, it may further open up space for movement towards an 8-month high.

According to Catcher Predict monitoring, the event "Power Balance: 2026 Midterm Elections" is currently among the hottest trades on the prediction market Polymarket, with a cumulative pool size reaching 178 million dollars. The option with the highest market consensus is "Democratic Party Victory," corresponding to a winning probability of approximately 66.5%.

Cryptocurrency analyst Darkfost stated that over the past decade, the volatility of Bitcoin prices around the "Power Law" trend line is gradually decreasing, and market cycle fluctuations are converging. The oscillation indicator peak has dropped from +169 in 2018 to +102 in 2025, with its daily standard deviation decreasing from 4.81 to 2.47, a decline of about 49%.Darkfost added that as of the current model's oscillation indicator at +34.5, the Bitcoin price is approximately $84,700. According to the model parameters for that day, an oscillation indicator of +100 corresponds to a Bitcoin price of about $157,800, which is approximately 86% higher than the current price. He also pointed out that $157,800 is not a fixed target price but rather a reference level calculated based on the current regression parameters. If the Power Law trend line continues to rise in the future, this reference price will also increase accordingly.

HIVE Digital Technologies Executive Chairman Frank Holmes stated in an interview with Bitcoin Magazine that governments around the world will continue to print money, potentially reaching 100 trillion dollars, which makes him optimistic about Bitcoin and gold. He pointed out that Bitcoin miners already possess the electricity, land, and substations required for AI, and referred to Bitcoin mining as a "tier one data center."Holmes introduced that HIVE had previously used GPUs for mining Ethereum to enter the AI field, and he believes the next wave of AI factories will be built on mining infrastructure from Paraguay to Canada. He also discussed how ETFs can transform Bitcoin from "fear trading" to "love trading," as well as how players and the younger quantitative trading community are driving Bitcoin adoption.Additionally, he mentioned Binance's 19 billion dollar liquidation and 350 trillion dollars in money supply, 40 trillion dollars printed during the COVID-19 pandemic, global MMT risks, Bitcoin mining in China with 1.4 trillion dollars in loans, central banks purchasing gold, the Central Bank of Paraguay and Bitcoin mining exports, and computing power as a commodity, along with Canada's AI advancements and the electricity advantages of Bitcoin miners.

Elon Musk stated that he is cautiously optimistic that the SpaceX version of the VR72 will be able to operate at an average power close to 250 kilowatts, which means the peak power will be about 10% higher.

According to The Information, sources say that SpaceX's AI department had discussions with Microsoft over leasing computing power during the summer. This indicates that, after initial resistance, Musk has fully embraced the "new cloud" business.

According to The Wall Street Journal, the U.S. stock-listed Bitcoin mining company PowerCompute (Nasdaq: PWCM) has fully repaid and terminated its Bitcoin collateralized credit line with Arch Lending.The credit line was settled on the reset date of September 24, with Arch selling approximately 267.3 of the 307 collateralized BTC to repay about $22.45 million in principal, interest, and fees, with approximately 39.6 BTC returned to the company.PowerCompute stated that the settlement was carried out as planned and was not due to additional margin calls or forced liquidations.After repayment, the company's secured debt decreased from approximately $19.4 million at the end of June to about $1.25 million, holding approximately 62 BTC as of September 25. The company announced it will exit the leveraged Bitcoin treasury strategy, with Bitcoin being used as operating capital for equipment procurement and expansion.

The tokenized asset data platform RootData has officially reached a strategic cooperation with Coinone, a mainstream cryptocurrency exchange in South Korea. According to the cooperation arrangement, Coinone will access and utilize the data resources provided by RootData to write public research reports, conduct market trend monitoring and research, and systematically review the relevant information of assets listed on the platform.Coinone, established in 2014, is one of the earliest cryptocurrency exchanges in South Korea, with relatively strict internal standards for asset security and information disclosure. This cooperation will further enhance Coinone's capabilities in project information transparency and market analysis, helping it better serve users and comply with regulatory requirements.RootData's collaboration with the South Korean exchange also marks the extension of its data services to more mainstream trading platforms in South Korea. Currently, RootData has established data partnerships with a series of South Korean partners, including TokenPost, Etoday, Nexblock, Tiger Research, and Kimpga, with the total number of data partners exceeding 240.