power

On July 24, according to WEEX TradFi market data, the computing power sector continues to strengthen, with funds repricing around AI security, network connectivity, and advanced packaging. Among them, NETON rose over 32.12% in 24 hours, MXLON rose over 16.69%, and AMKRON rose over 8.42%, with related targets also strengthening.WEEX Labs believes that Cloudflare is laying out AI content control and security products, and MXL and AMKR benefit from the demand for high-speed connectivity and advanced packaging, leading to a short-term increase in the heat of related assets. Attention should be paid to the performance of financial reports and market volatility risks at the beginning of next month. Currently, the WEEX coin stock 0 fee rate activity is ongoing.

According to BBX data, yesterday and in recent days, global companies listed on the US stock market have disclosed the latest real announcements regarding digital asset transformation and ecological strategic investments. The core dynamics are as follows:Canton sells traditional business to fully transition to blockchain clearing: Canton Strategic Holdings, Inc. (NASDAQ: $ CNTN) officially announced that it has sold its biotechnology R&D department Gravitas Life Sciences, LLC to Gravitas Collective Corp. The transaction was completed on July 17, 2026. The company clearly stated that this divestiture is an important milestone in its transformation into an operating company, and in the future, it will support the Canton Network through Canton Coin and promote the on-chain digital transformation of traditional financial markets as a strategic investor.Empery Digital invests $20 million in cross-industry computing power electricity park: The US-listed company Empery Digital Inc. (NASDAQ: $ EMPD), which adopts a Bitcoin fund management strategy, announced that it has completed a $20 million preferred stock investment (holding approximately 8%) in Cardinal Data Power, Inc. (CDP) on July 20, 2026. CDP focuses on building electricity-driven data center parks, and this round of financing will support its construction of the first gigawatt-level data center park covering over 3,000 acres in West Texas (Phase I is planned to be operational in 2027, with a long-term plan exceeding 5GW) to meet the next generation of AI and computing power energy demands.

According to a report by businesswire, Empery Digital Inc. (NASDAQ: EMPD), a publicly traded company in the U.S. that adopts a Bitcoin fund management strategy, announced that it has completed a $20 million preferred stock investment in Cardinal Data Power, Inc. (referred to as "CDP") on July 20, 2026, holding approximately 8% of its equity.CDP is a subsidiary of Hunt Properties, focusing on the construction of power-driven data center parks, dedicated to providing power and construction for next-generation gigawatt-level data center parks in West Texas and West Virginia.This investment is part of CDP's approximately $70 million Series A financing, aimed at supporting its first park project located in West Texas, which covers over 3,500 acres. The first phase of the project is scheduled to go into production in 2027, with a total installed capacity expected to reach about 1 gigawatt by 2029, and future plans to expand to over 5 gigawatts. The Series A financing is led by Hood River Capital Management.

The digital asset trading platform Gate released its Q2 2026 report. According to data from several authoritative institutions, Gate ranks second globally in spot liquidity and trading volume, maintains a top three position in the derivatives market, and holds a top three market share in open interest (OI). This quarter, in terms of asset class diversification, Gate has advanced its integration of crypto assets and TradFi, accelerating the development of businesses such as stock trading, Pre-IPOs, CFDs, and wealth management, further enhancing global asset allocation capabilities. The platform has officially launched stock trading, establishing a 24/7 trading system covering the U.S., Hong Kong, and South Korean markets, supporting fractional share trading, stock dividends, inter-broker transfer, and stock splits and consolidations. By the end of Q2, Gate's global registered users exceeded 58 million, supporting trading of over 4,800 digital assets and more than 12,500 stock assets, continuously attracting global users to participate in the trading of a diversified asset system through the platform.At the same time, Gate has perfected the complete asset service chain from pre-IPO investment to public market trading. The SpaceX (SPCX) Pre-IPO project has accumulated subscription funds exceeding $396 million, with direct IPO subscription funds exceeding $143 million. Gate CFD has launched 663 trading assets, and the quarterly trading volume of ETFs approached $60 billion, with a month-on-month growth of over 40%. In addition, Gate has launched a global wealth management brand, Gate Wealth, providing global users with more efficient asset allocation and long-term value growth opportunities. Gate.AI has completed its architecture upgrade and brand renewal, supporting access to over 200 mainstream large models globally, and continues to lay out around AI Agents, RWA, prediction markets, and on-chain infrastructure. In Q2 2026, Gate continues to integrate asset allocation capabilities across digital assets, stocks, ETFs, RWA, foreign exchange, and commodities, accelerating its evolution into a global one-stop financial service platform.

Bloomberg New Energy Finance (BNEF) latest forecast shows that by 2035, electricity consumption by data centers in the United States will account for about 20% of the nation's total electricity consumption, a significant increase from the current level of about 5.9%. The agency has raised its forecast for data center electricity demand in 2035 to 106 GW, which is 36% higher than the 78 GW predicted in April this year. Currently, the operating capacity of data centers in the U.S. is about 40 GW, accounting for approximately 3.5%-4% of the national electricity demand, while under BNEF's baseline scenario, this proportion is expected to reach 8.6% by 2035. The high-growth model from the Electric Power Research Institute (EPRI) indicates that if the combined effects of cryptocurrency mining and AI computing power are taken into account, the upper limit of this proportion also points to 20%.In response to the explosive growth in AI computing power demand, Bitcoin mining companies are actively transforming. Companies like Core Scientific and Riot Platforms have partnered with tech giants such as AWS and Google to convert their existing mining sites into AI data centers. Currently, Bitcoin mining companies have secured about 6 GW of electricity capacity, which is expected to expand to 12 GW by 2027, with some analysts estimating that about 20% of mining companies' computing power capacity will shift towards AI workloads by then. Data from the Electric Reliability Council of Texas (ERCOT) shows that data centers now account for about 90% of local large load applications, with many sites originally used for cryptocurrency mining being repurposed as AI computing facilities. This trend is also directly reflected in the capital markets, as Core Scientific has seen a significant rebound in its stock price after emerging from bankruptcy and partnering with AI cloud service provider CoreWeave.

According to TechRepublic, Elon Musk recently acquired the mobile power generation company APR Energy, with the deal valued at least around $1 billion. According to regulatory documents, Duos Technologies sold its 5% non-voting shares in New APR Energy, gaining a net profit of $50.4 million, which implies the company's overall valuation exceeds $1 billion.APR Energy is headquartered in Jacksonville, Florida, USA, and specializes in rapidly deployable gas and diesel generator sets, providing temporary or supplemental power for scenarios such as data centers. Its total power generation capacity exceeds 1 GW and can complete some project deployments within 15 to 30 days. Analysts suggest that this move may provide options for xAI to expand its computing power infrastructure and reduce reliance on local power grids, but it will also bring trade-offs in emissions, compliance, and costs.

According to market news, Goldman Sachs reported on July 18 that the Dark Side of the Moon released the Kimi K3 model, with 28 trillion parameters, surpassing Claude Fable 5 and GPT-5.6 Sol on the Arena.ai programming leaderboard, reaching a new high for Chinese models with an API pricing of $2.3 per million tokens. Two days after the release, Zhiyu fell by 28%, MiniMax dropped by 16%, the Nasdaq 100 index futures fell by more than 1.8%, and the Philadelphia Semiconductor Index has cumulatively dropped by more than 18% from its peak.Goldman Sachs believes that Kimi K3 marks a turning point: a Chinese laboratory that cannot match the largest pre-trained computing power in the West has rapidly narrowed the gap with top American models through architectural innovation and reinforcement learning, proving that "scaling" is no longer the only winning path. Goldman Sachs warns that the "era of computing power expansion" may be coming to an end, and the investment logic for AI infrastructure built around "the more computing power, the better" needs to be rewritten. Goldman Sachs maintains a buy rating on MiniMax and a neutral rating on Zhiyu. Future attention will focus on the intensive release of 20-50 trillion parameter models such as Zhiyu GLM, Alibaba Qwen, and MiniMax M3 Pro.

According to The Block, Bernstein pointed out in its latest research report that the perpetual contract structure originating from the cryptocurrency market has first entered the AI computing power market. The Architect AX exchange, registered in Bermuda and not regulated by the CFTC, has launched GPU computing power perpetual contracts, which are anchored to spot prices through funding rates, a mechanism that directly originates from the cryptocurrency market. The cash-settled computing power futures from CME and ICE are still awaiting CFTC review, with a launch expected by the end of 2026.In addition, the CFTC-regulated prediction market platform Kalshi has previously launched prediction contracts linked to GPU rental prices and introduced the computing power pricing curves for B200, H200, and A100 chips on July 14, with the B200 quoted at $5.41 and a historical peak of $7.39.Bernstein noted that unused GPU computing power cannot be stored, and hedging is the only way to bear price risk. However, the current market liquidity is still dominated by speculative funds, and the difficulty in constructing computing power benchmark indices is also a major bottleneck in market development.

According to "AI Technology Review," China's leading large model company Zhipu has invested hundreds of millions of yuan to acquire the AI heterogeneous computing power software infrastructure company Zhongke Jiahe. This move aims to completely address Zhipu's shortcomings in the underlying engineering and compiler capabilities of large models, in response to the structural shortage of computing power and high-concurrency inference challenges caused by a surge in user numbers.Zhongke Jiahe's technology originates from the Compiler Laboratory of the Institute of Computing Technology, Chinese Academy of Sciences, founded by Dr. Cui Huimin. Its core team has been deeply involved in the development of compilers for several domestic chips, including Loongson, Sunway, Cambricon, and Huawei Ascend. Zhongke Jiahe's core advantage lies in its virtual instruction set technology, which can unify different brands and models of chip ecosystems through middleware software, assembling scattered domestic chips into a unified ultra-large-scale cluster, thereby significantly improving overall computing power utilization; its SigInfer inference engine is claimed by the official source to reduce the inference latency of large models by up to 74 times.Recently, Zhipu's Coding Agent business has experienced explosive growth. The newly released GLM-5.2 large model saw a 27-fold increase in daily Token call volume during its first week on the aggregation platform, leading to the exposure of systemic engineering bottlenecks in its inference infrastructure under high concurrency and long context scenarios. After being placed on the U.S. Entity List, Zhipu has actively promoted domestic alternatives and has now completed inference adaptation for eight major domestic computing power platforms, including Huawei Ascend, PingTouGe, and Moore Threads. The acquisition of Zhongke Jiahe will not only directly improve Zhipu's unit Token inference cost and output quality but also provide core underlying compiler technology support for its previously rumored self-developed custom AI inference chip plan.

According to PR Newswire, AI computing power energy infrastructure Bloom Energy announced a massive project investment of $1.7 billion, with participation from Industrial Development Funding (IDF) and asset management giant Oaktree.It is reported that Bloom Energy will provide exclusive "behind-the-meter power" capabilities for AI cloud computing company Nebius to meet the growing demand for AI computing power.

According to Bloomberg, cloud computing service provider Nebius Group announced that it has reached an agreement with artificial intelligence model development company Reflection AI to sell computing power worth over $1 billion.According to statements from both parties, the agreement is valid until 2029, and Reflection AI will gain access to computing resources using NVIDIA GB300 AI chips to support its artificial intelligence model research and development.

According to CoinDesk, Jurien Timmer, the Global Macro Director at Fidelity, stated that Bitcoin is approaching the bottom support line of its "power law model" constructed based on the complete price history of Bitcoin. This long-term support level is currently around $58,000, while the current price of Bitcoin is approximately $62,700, gradually nearing this area, or may have already entered the "accumulation zone" defined by the model.However, Jurien Timmer did not confirm that the market has bottomed out, but believes that Bitcoin may not experience a rapid rebound immediately. Instead, it is expected to fluctuate around the long-term support line for several months. Short-term capital has previously exited, and the flow of funds has rotated from Bitcoin to gold, and then from gold to the semiconductor sector. Currently, the market's pursuit of hot sectors is still mainly concentrated in the semiconductor field.

According to official news, Robinhood announced that it will soon launch AI agent cryptocurrency trading features for eligible U.S. users.Users can connect the AI agent to their exclusive Robinhood accounts, allowing the AI to execute cryptocurrency trades on their behalf, while also supporting real-time profit and loss tracking and push notifications, maintaining consistency with the existing agent trading experience. Specific details will be announced in the near future.

According to CNBC, Kraken plans to launch a trading feature centered around AI agents (agentic trading) in its app, allowing users to automatically monitor the market, discover opportunities, and execute trades through natural language commands. This feature utilizes AI during the account opening process to assess users' risk preferences, sources of funds, and financial status, generating a portfolio for users to adjust and confirm. It will subsequently provide portfolio-related information and rebalancing suggestions. Kraken stated that AI agents will help non-professional users participate in the market in a manner close to high-frequency and professional traders, and will be part of its strategy to extend into broader financial services such as payments, banking, and lending, integrating stablecoins and asset tokenization.

Regulatory documents show that MARA Holdings subsidiary Volt Texas has signed an agreement with HIF USA to acquire a majority stake in MAT 1177 LLC, which holds the Texas data infrastructure park project, leaving a small minority stake for the seller.The project company has signed a letter of intent with the power company, planning to provide up to 2000 megawatts of power for the construction of a large digital infrastructure park that supports high-performance computing and Bitcoin mining. The transaction price will be paid in installments based on milestones, with a total acquisition amount of up to $600 million if all development milestones are completed. The acquisition of related land, power access, and subsequent execution of data center leases will trigger the installment payment obligations.

Wintermute announced on platform X that it has executed its first power forward trade, referencing the pricing of NVIDIA H100.The market maker stated that computing power is becoming an independent market, and tools for pricing and hedging are now beginning to emerge.

According to Jinshi, the U.S. Central Command announced that the U.S. military has begun a series of strong strikes against Iran.

According to the Goldman Sachs report on "China's AI Computing Power" disclosed by P Equity Research, China is accelerating the construction of a national computing power network, with related infrastructure projects expected to attract 7 trillion yuan in investment by 2026. In the next five years, investment in data centers is projected to reach about 2 trillion yuan. Currently, funds and technology are being massively transferred to western computing power hubs, while data centers in first-tier cities are transforming to focus on ultra-low latency computing, edge nodes, and AI inference. Although GW-level clusters with over 100,000 chips remain scarce domestically, in typical GW-level computing power parks, workloads are primarily composed of inference, which accounts for more than half, as well as training and full-stack R&D.The report predicts that by 2026, the market share of domestically produced AI acceleration chips is expected to exceed 50%. Among them, Huawei and Alibaba's Pingtouge lead the domestic camp with shares of 20% and 7%, respectively, but Nvidia currently maintains overall market dominance with a 55% share. In terms of cost and performance, domestic chips have capital expenditures on IT power consumption that are 40% to 50% lower than imported chips, but due to performance gaps, their capital expenditures per unit of computing power are 2 to 4 times that of imported chips, and the computing power generated per unit of power consumption is only 10% to 30% of that of imported chips. Additionally, the daily average token output of Huawei's 910B/910C servers is about one-sixth to one-third of that of Nvidia's H800, resulting in significantly lower API profit margins based on that hardware compared to peers using Nvidia hardware.

According to the Financial Times, the UK's Financial Conduct Authority (FCA) has warned that regulation of artificial intelligence in the financial sector is facing an "arms race" and urged for new powers to regulate ChatGPT, Claude, and Gemini.