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AI computing power financing is heating up, and Lambda, supported by Nvidia, plans to purchase GPUs through a $917 million loan

Lambda, an AI cloud computing service provider supported by Nvidia, is financing $917 million through the leveraged loan market to procure AI chips. As the construction of artificial intelligence infrastructure accelerates, chip financing is becoming a new way for capital investment in the AI industry. Lambda belongs to the rapidly developing "new cloud vendor" camp in recent years, with its main business being to provide GPU computing power and AI infrastructure services to enterprises and developers.This financing plan will be completed through a loan based on GPU asset-related rights, aimed at supporting the company's expansion of AI computing resources. Reports indicate that AI infrastructure companies are actively exploring new financing methods to meet the enormous capital investment required for building large-scale computing clusters. Previously, AI cloud service provider CoreWeave completed the first transaction in the institutional leveraged loan market for chip financing, providing a new financing model for the industry. As the demand for generative AI continues to grow, Nvidia's GPU supply has become a core resource for AI companies' expansion. By using GPU assets as the basis for financing, AI cloud service providers can rapidly scale their computing power without fully relying on equity financing, while also allowing the traditional credit market to participate in the wave of AI infrastructure investment.

hot_img Yushu Technology starts subscription, Meituan and Sequoia may become the biggest external winners, DJI misses out on approximately 3.7 billion yuan in floating profits

Yushu Technology officially launched online and offline subscriptions on August 10, with an issue price of 150.80 yuan per share. The total market value after issuance is approximately 60.993 billion yuan, with total fundraising of nearly 6.1 billion yuan, and the issuance price-to-earnings ratio is 219.23 times, significantly higher than the industry average of 38.56 times.Meituan holds a total of 9.65% of Yushu's shares before issuance through its three subsidiaries, making it the largest external institutional shareholder; Sequoia China holds a total of 7.11%, ranking second. Based on the issue price, the two institutions will receive substantial paper returns. Sequoia first participated in the capital increase in December 2019 with 15 million yuan, at which time the post-investment valuation was only 150 million yuan.A fund under DJI planned to invest 10.1286 million yuan in 2018 for a corresponding shareholding of about 17%, and completed the business registration, but chose to withdraw its investment in 2019. If this investment had been retained until now, the corresponding market value would be approximately 3.7 billion yuan based on the issue price. DJI did not explain the reason for the withdrawal, but in 2019, the company announced an anti-corruption notice, disclosing the handling of 45 employees suspected of corruption, which led to a complete halt of the investment department's work.Among other major shareholders, Jingwei Venture Capital holds 5.45%, Shunwei Capital holds 4.42%, and CITIC Securities holds a total of 4.49%. In terms of strategic placement, DeepSeek received 933,400 shares (subscription of 141 million yuan), and Shanghai Qishan Investment, a subsidiary of Tencent, received 903,300 shares. CITIC Securities, as the sole sponsor, will receive approximately 145 million yuan in sponsorship underwriting fees and will be allocated 808,900 shares through co-investment. Yushu also reminds that the issuance price-to-earnings ratio is significantly higher than the industry average, posing a risk of stock price decline. The deadline for payment for successful applicants is August 12.

MARA secures a $600 million Bitcoin collateralized loan, BitFuFu pre-pays to reduce mining power holdings

According to BBX data, global enterprises announced core indicators regarding liquidity management of crypto assets, mining output, and treasury earnings last weekend:MARA achieved a $600 million Bitcoin collateral loan: Mining giant MARA Holdings (NASDAQ: MARA) disclosed in its quarterly report submitted to the U.S. Securities and Exchange Commission (SEC) that on August 4, 2026, the company signed two term loan agreements collateralized by Bitcoin with Coinbase Credit, Inc. and Two Prime Lending Limited. The agreements provide approximately $600 million in new borrowings (with a total credit facility principal of $750 million, including refinancing of the existing $150 million Coinbase credit line).BitFuFu produced 112 BTC in July, with a decrease in holdings due to power costs: Nasdaq-listed Bitcoin mining machine and mining service provider BitFuFu Inc. (NASDAQ: FUFU) announced its unaudited operational metrics for July. The company's Bitcoin production in July was 112 BTC (40 BTC from cloud mining and 72 BTC from self-mining), with an average daily output of 3.6 BTC, showing a decline compared to the previous month. Additionally, its Bitcoin holdings decreased from 1,671 BTC in June to 1,314 BTC. The company explained that the reduction was mainly used to prepay for new power costs starting in August 2026, lasting 330 days.Remixpoint disclosed performance in crypto treasury earnings, earning over 12 BTC from lending: Japanese Bitcoin treasury company Remixpoint released an announcement on its crypto operational performance. As of July 31, 2026, the company's Bitcoin lending principal was approximately 1,501.27 BTC, and it accumulated about 12.44 BTC (approximately 133 million yen) in lending fees from February to July. At the same time, it staked approximately 901.45 ETH and 13,920 SOL, with related staking rewards totaling about 28.89 million yen.Chainlink repurchased nearly 140,000 LINK to replenish reserves: On-chain tracking shows that Chainlink recently repurchased 139,956.08 LINK (worth approximately $1.13 million) and transferred the tokens to its official reserve wallet. It is reported that these tokens were accumulated through multiple exchanges via CoWSwap and consolidated for sending to the reserve.

hot_img Silicon wafer supply tightens: 12-inch capacity is nearing full load, GlobalWafers signs a 10-year contract with Micron

According to the South Korean media The Elec, GlobalWafers stated during the Q2 earnings call that the production lines for 12-inch, 8-inch, and 6-inch wafers are nearing full capacity, with some advanced 12-inch products experiencing supply constraints due to a surge in demand for AI chips, HBM, and advanced packaging. Shin-Etsu Chemical achieved double-digit growth in 12-inch shipments both year-on-year and quarter-on-quarter in Q2, and Sungrow also believes that customer inventory adjustments are nearing completion. Although SK Siltron is gradually releasing capacity from new production lines, it is still difficult to meet the growth rate of orders.Tight supply is driving changes in long-term contract models, and GlobalWafers signed a 10-year LTA (including advance payment) with Micron last month. Prices in the non-LTA market have begun to rise and are expected to continue to increase in the second half of the year. GlobalWafers stated that it is negotiating with customers to incorporate price adjustment mechanisms into new contracts, and Nexchip also emphasized the need for "broad and meaningful price increases" to support reinvestment. Industry insiders expect that as new factories from Samsung, SK Hynix, and Micron come online, wafer demand will double in the second half of 2027, and supply shortages may further intensify.

hot_img National Development and Reform Commission: The global download volume of domestic large models has surpassed 10 billion times, which will accelerate the legislative process of the "Artificial Intelligence Law."

Jiang Yi, Director of the Policy Research Office of the National Development and Reform Commission, stated at a press conference on July 31 that in the first half of the year, China's pace of independent innovation in artificial intelligence has accelerated. Domestic companies such as Deep Exploration and Dark Side of the Moon have successively released open-source large models with parameter scales reaching "trillion" levels, and the global download volume of domestic large models has surpassed 10 billion times. The next step will focus on strengthening research and development in cutting-edge areas such as the basic theory of large models, training and inference efficiency, multimodality, and intelligent agents, and accelerating the layout and construction of national artificial intelligence application pilot bases, while vigorously cultivating intelligent derivative enterprises.Jiang Yi pointed out that there will be a coordinated approach to high-quality development and high-level security, accelerating the legislative process of the "Artificial Intelligence Law", constructing a "development---regulation---security" closed-loop system, establishing and improving technical monitoring, risk warning, and emergency response mechanisms, and adhering to the development concept of "human-led, for human use, and benevolent to humanity," actively responding to the impact of artificial intelligence on economic operation and employment distribution.
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