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financing

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first_img Nvidia suspends part of its revenue-sharing financing arrangements with AI cloud companies

According to the Wall Street Journal, Nvidia has suspended some transactions in its new financing plan. This plan aims to provide credit support to AI cloud companies in exchange for revenue sharing. Insiders say that the chip giant withdrew from the related arrangements last week but may adjust the plan in the future or incorporate it into other projects.A Nvidia spokesperson stated that the new business model aimed at the rapidly growing AI ecosystem and open computing power access is still progressing and continues to evolve due to strong demand. The plan was announced less than two months ago, intending to support the financing needs of small AI cloud companies: if customers cannot sell computing power, Nvidia can lease back the relevant computing power, acting as a guarantee buyer, thereby facilitating companies in raising funds to purchase Nvidia AI chips; Nvidia would then share cloud revenue generated by customers based on its chips, in addition to hardware sales.Nvidia stated in this week's earnings call that this model is expected to contribute billions of dollars in revenue in the medium to long term. However, recent investor scrutiny regarding its capital flow back to the AI ecosystem has increased, raising concerns that so-called circular transactions may inflate demand. Reports indicate that some employees had expressed antitrust concerns to customers; in the early stages of the plan, Nvidia also faced dissatisfaction from some potential partners due to attempts to limit chip rental targets, preferring to distribute to multiple small customers rather than a single large customer, and requiring a 50% revenue share after reaching a certain threshold.

RQD Clearing, a U.S. clearing and custody institution, has completed a $74 million financing round, led by Bain Capital

According to CoinDesk, the U.S. clearing and custody institution RQD Clearing announced the completion of a $74 million financing round, led by Bain Capital Tech Opportunities, a technology investment division of Bain Capital, with participation from ABN AMRO Clearing Bank and Nyca Partners. This round of financing will be used to expand operations in North America, Asia, and the Middle East, and to enhance infrastructure development for digital asset custody and asset tokenization.RQD primarily provides post-trade clearing and custody services for broker-dealers, investment advisors, and overseas financial institutions in the U.S. market, responsible for key processes such as securities and funds settlement, and risk management. This year, the company has processed approximately 515 million stock trades, involving nearly $2 trillion, accounting for about 2.4% of the National Market System (NMS) stock trading volume in the U.S.As Wall Street institutions accelerate their exploration of on-chain finance, traditional market infrastructure is becoming an important direction for the competition of tokenized assets. RQD has previously collaborated with Blue Ocean Technologies to advance the clearing and settlement infrastructure for tokenized U.S. stocks and has aligned with the tokenized securities framework of the Depository Trust & Clearing Corporation (DTCC).

FinTax completes seed round financing and begins long-term ecological collaboration with YZi Labs

Cryptocurrency financial and tax solutions provider FinTax announced the completion of its seed round financing, led by YZi Labs, with participation from Amber, Hash House, Pundi AI, Waverider International, and Nexus Holdings, resulting in a post-investment valuation of $40 million. Previous round investors include Victory Courage, BGIN, Tools Factory, and individual investor Fan Chao.In recent years, YZi Labs has been continuously investing in stablecoins, RWA, payment, and institutional-level digital asset infrastructure. Leveraging FinTax's expertise in on-chain data processing, crypto accounting, cross-jurisdictional tax practices, and crypto asset financial auditing, both parties will explore long-term ecological collaboration around institutional-level financial and tax infrastructure, compliance standards, and emerging scenarios such as stablecoins, RWA, and payments.Following this round of financing, FinTax will accelerate the scaling of its five product lines, expanding its business from the Asia-Pacific and North American markets to Europe and the Middle East, and deepening the application of AI in complex financial and tax scenarios. FinTax will continue to promote the dual iteration of blockchain and legal systems across dozens of jurisdictions, enabling on-chain economic activities to connect with the real-world financial and tax systems.

first_img Jensen Huang defends Nvidia's AI ecosystem financing, stating that the risks are relatively low

NVIDIA CEO Jensen Huang defended the company's increasingly expanding role in financing the AI ecosystem on CNBC's "Mad Money," calling the investment in cutting-edge labs a "once-in-a-generation" opportunity and stating that the risks are relatively low. He pointed out that the outside world overlooks a key point: these are the first batch of startups that require hundreds of billions of dollars in funding, with a very high capital intensity for building and deploying AI. NVIDIA has invested in model companies like OpenAI and Anthropic, as well as new cloud service providers, and has provided financial support for data center projects, including $105 billion in support for a large computing power park in Ohio (with OpenAI as a tenant), and has collaborated with Wall Street institutions to arrange up to $500 billion in data center financing.In response to criticisms of "circular financing" and comparisons to similar internet bubbles, Huang stated that NVIDIA hopes to become an equity investor in cutting-edge AI labs and provide broader support, as these companies do not yet have investment-grade qualifications and low-cost financing records. He emphasized that the invested capital will yield substantial returns and that the risks are low because the computing infrastructure can be redeployed to other clients and workloads when the supported companies encounter difficulties. NVIDIA just announced better-than-expected results for the second quarter of fiscal year 2027: revenue of $96.2 billion, more than doubling year-on-year; data center revenue increased by 117% to $89 billion, and it is expected that revenue will grow by about 70% in fiscal year 2028. Following the announcement, the stock price rose about 4% in after-hours trading.

MYSTEN Labs co-founder Kostas Kryptos participates in the establishment of the cryptocurrency trading platform Havenex: Series A financing is about to be completed

The Sui development team co-founder of Mysten Labs, Kostas Kryptos, stated that Havenex is undergoing Series A financing and is about to complete it. All necessary license applications and some additional license applications have been submitted, and the financing amount is also close to being fully allocated.Havenex is not positioned to become another Coinbase, Binance, Bybit, or Kraken, but rather to provide infrastructure for financial institutions, enabling them to offer digital assets and traditional financial assets to clients while meeting regulatory, custody, security, and transparency requirements. Havenex plans to support a multi-chain architecture, verifiable custody, continuous solvency proof, default multi-signature, quantum-resistant keys, hardware two-factor authentication wallets, as well as self-custody and key loss protection mechanisms; in regions where regulations allow, it will also support privacy assets and RWA. The project will use Sui technology in suitable scenarios while integrating assets, bridging protocols, and foundational components from other ecosystems.The concept of Havenex was proposed by him, and he will currently participate as an advisor, but Mysten Labs and Sui remain his main focus. He stated that the project aims to establish transparency and security standards different from those of FTX and Mt. Gox, and to reduce the serious vulnerability risks caused by code generated by large language models recently.
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