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traderpow is a trader who is passionate about meme coins and NFTs, preferring high-risk, high-reward operations.
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NVIDIA invests in OpenAI to co-establish a new AI laboratory, providing large-scale GPU computing power support

According to a report by the WSJ, Nvidia has invested in the AI laboratory Safe Superintelligence (SSI), founded by former OpenAI chief scientist Ilya Sutskever. The two parties have reached a long-term cooperation agreement aimed at expanding SSI's computing resources while helping Nvidia secure important clients in the AI field. Both companies stated that Nvidia made a "large-scale" investment after understanding some of SSI's research progress, but did not disclose the specific amount.As part of the collaboration, SSI will receive a significant amount of Nvidia's flagship GPU resources, with its computing power expected to increase by an order of magnitude. Previously, SSI primarily relied on TPU chips provided by Google for AI research and development. This collaboration indicates that Nvidia is further expanding its AI chip ecosystem and binding future computing power demands through investments in top AI laboratories.SSI was established in 2024 by Ilya Sutskever, with the goal of developing "Safe Superintelligence." The company has previously raised about $2 billion in funding, with investors including Andreessen Horowitz and Sequoia Capital, and reached a valuation of approximately $30 billion last year. This is not Nvidia's first investment in an AI company founded by former core members of OpenAI. In March of this year, Nvidia also invested in Thinking Machines Lab, founded by former OpenAI chief technology officer Mira Murati, whose first AI model is trained on Nvidia hardware.Ilya Sutskever is one of the important researchers in the field of modern artificial intelligence, having co-founded OpenAI and promoted the development of large model technologies such as ChatGPT. However, after leaving OpenAI, he began to question the approach of solely relying on expanding data and computing power to drive AI progress, turning instead to explore new directions in superintelligence research.

Canton separates traditional biological business to transform into Web3 clearing, EMPD invests 20 million USD in AI and computing power energy infrastructure

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.

Gate's second quarter report is out, empowering a one-stop financial service platform with over 12,500 types of stock assets

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.

hot_img BNEF: U.S. data centers may account for 20% of electricity consumption by 2035, Bitcoin mining companies are accelerating the shift to AI computing power

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.

hot_img Zhipu has acquired AI Infra company Zhongke Jiahe for hundreds of millions, fully addressing the shortcomings in underlying heterogeneous computing power engineering

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.
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