从持有到“生息”,Solana DAT 储备已突破40亿美元

比推Опубликовано 2025-09-18Обновлено 2025-09-18

最新数据显示,SOL数字资产金库DAT)的储备规模已突破40亿美元。

image.png

没有人能忽视这种转变的象征意义。五年前,当Strategy率先将比特币纳入企业资产负债表时,华尔街将其视为一场危险的赌博;而今天,从上市公司到投资机构,越来越多传统资本正在Solana生态中有条不紊地构建着自己的数字资产金库。它们不再满足于单纯的持有,而是通过复杂的质押策略和生态参与,让这些加密资产持续“工作”。

在这一现象背后,一个更清晰的趋势正在浮现:SOL正在超越其作为投机性资产的早期角色,逐渐演进为机构资产配置中的重要组成部分。它不仅能够通过质押产生稳定收益,更能与企业的整体战略形成协同效应,并为未来的应用场景储备战略灵活性。

以下是其细分策略:

金库即收益:新的数字债券

一些公司将 SOL 视为一种高收益的数字债券。它们持有 SOL 以获取被动收入,并通过流动质押工具(liquid staking tools)将其质押以赚取奖励。

  • Mercurity Fintech似乎是下一个采取这种策略的公司,其持有超过 2 亿美元的 SOL。虽然尚未积极进行质押,但其金库行为暗示了一种保守的姿态——可能在等待合规清晰度或合适的质押基础设施合作伙伴。

    策略清晰: 在不构建新产品或基础设施的前提下,最大化低摩擦的、链上收入。

生态系统协同:深度参与网络

对于其他公司而言,SOL 不仅仅是收益来源,它还是忠诚度的标志。

  • Nasdaq 上市公司 Brera Holdings 正在更名为Solmate,转型为一家基于 SOL 的 DAT,并已通过私募获得了 3 亿美元的融资。Solana Foundation、Cathie WoodArk Invest、阿联酋的 Pulsar Group以及 RockawayX 都参与了此次私募。Solmate 旨在通过积累和质押 SOL 以及通过 Solana 质押基础设施创造新的收入来源来推动股东价值。

  • Forward Industries (NASDAQ: FORD) 是一个例子,该公司最近完成了一笔由Galaxy Digital、Jump Crypto 和 Multicoin Capital 领投的 16.5 亿美元 PIPE(私人股权投资)交易。FORD 已收购和质押超过7680 万枚8SOL,正在构建其所谓的“公共数字资产金库”——积极参与DeFi、验证节点委托和生态系统合作。这标志着一种新型DAT 实体的出现:公开交易、大规模资本化,并与Solana 的核心基础设施紧密集成。

  • DeFi Development Corp持有 205 万枚 SOL 并积极质押了相当一部分,似乎深度嵌入 Solana 的 DeFi 和基础设施生态。该公司在 2025 年 8 月登上纳斯达克敲响开市钟,标志着其雄心,即跨越公开市场合法性和去中心化金融创新。其金库策略超越了被动积累:该公司积极参与验证节点选择、探索治理提案,并将其资本与 Solana 原生基础设施对齐。这表明了一种混合愿景——上市公司不仅投资代币,还帮助管理它们所依赖的网络。

    DeFi Dev Corp 首席执行官 Joseph Onorati 表示:“作为加密金库工具,我们的核心使命之一是积极支持我们积累资产的网络。当 Solana 获胜,我们也获胜。这就是为什么我们尽我们所能支持生态系统。”

  • SOL Strategies Inc. 持有超过 40 万枚 SOL,并质押了更多的 SOL——这明显表明使用了流动质押协议。该公司的策略已从最初的最大化质押收益,转向更积极参与 Solana 生态系统,包括验证节点选择、治理实验,并可能为关键基础设施工作提供资金。它将自己定位为收益导向的运营者和长期生态系统合作伙伴。

  • Upexi, Inc. 是已知最大的 DAT 持有者,拥有 200 万枚 SOL,价值超过 3.7 亿美元。尽管没有明显的质押活动,但其规模和公开地位暗示了对 Solana 生态系统的长期押注,可能是基础设施、验证节点网络或 LP 策略的资本来源。

这些实体不仅仅持有 SOL——它们通过使资本与链的未来保持一致,参与到 Solana 的增长中。

机会主义的加密资产配置:Beta 对冲

一些公司只是简单地押注价格上涨。

  • iSpecimen(一家医疗保健数据公司)持有 100 万枚 SOL。

  • Artelo Biosciences(一家生物技术公司)持有超过 45,000 枚 SOL。

  • 这两家公司目前都没有进行质押。它们并非加密原生参与者,而是拥有闲置资本并有兴趣捕捉上涨潜力的公司。

  • 策略相似: 它们的策略类似于早期的企业比特币持有者:分散投资、持有、等待。这更多是关于市场曝光,而非收益。

验证节点与基础设施协同:构建支柱

  • BIT Mining Limited 持有相对适中的 27,000 枚 SOL,但在数据集中显示出最高的 Solana 原生曝光比率之一——这暗示着积极参与基础设施,可能是通过验证节点运营或区块生产。

  • 策略最技术化: 在这种策略中,SOL 作为区块空间业务的运营抵押品——不仅从质押中获取收入,还从性能、MEV(矿工可提取价值)或委托资本中获取收入。

DAT 维度:未来展望

在 2025 年 8 月底,Pantera Capital 宣布了一项 12.5 亿美元的倡议,以建立一个专注于 Solana 的公共金库,引发了头条新闻。该倡议的目标是“释放公共金库对于加密原生基础设施的全部经济力量”,并将包括委托质押、验证节点支持和对 Solana 原生实体的资本配置。这标志着迄今为止对单链金库策略的最大机构承诺之一。

除了现有的DAT实体之外,一批专注于Solana生态的基础设施服务商也正在蓄势待发。Multicoin Capital等机构近日透露,多个新型DAT已在筹备之中,它们将专门用于增强Solana网络的性能与验证节点的稳健性。

这些即将登场的DAT预示着一个更深层次的变革:验证服务正在走向专业化与机构化。未来我们很可能将看到,一种融合链上资金、链下运维能力和协议层激励的新型协作模式逐渐成熟——它不仅仅服务于质押需求,更旨在构建可灵活组合、符合企业级标准的节点服务与可用性基础设施。

参考链接:

Forbes: Solana’s Institutional Moment: SOL Digital Asset Treasuries

X: https://x.com/CryptoCurb/status/1968676383758204983?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Etweet


Twitter:https://twitter.com/BitpushNewsCN

比推 TG 交流群:https://t.me/BitPushCommunity

比推 TG 订阅: https://t.me/bitpush

说明: 比推所有文章只代表作者观点,不构成投资建议

Похожее

Google CEO Admits Lagging Behind in Coding

Google CEO Sundar Pichai acknowledged in a recent interview that Google's Gemini AI models are currently "lagging behind" in coding capabilities, particularly for complex, long-horizon tasks requiring advanced developer expertise. He noted the field is advancing at an "unprecedented" pace, where 30-60 days now brings changes equivalent to five years in the past. Pichai expressed that achieving Artificial General Intelligence (AGI) now seems closer than previously imagined due to rapid progress. While highlighting strengths in text, multimodal, and reasoning tasks, Pichai admitted competitors like Anthropic and OpenAI have focused more intently on coding. He emphasized Google's commitment to catching up, citing internal tools like Antigravity 2.0 and the newly released Gemini 3.5 Flash, which aims to address previous shortcomings. Regarding Google Search's AI-driven overhaul, Pichai stated changes will be gradual to align with user needs, not disrupt the core search experience or its advertising model. He addressed public AI anxiety as understandable, given the technology's potential to reshape jobs and society, but remained optimistic about AI augmenting human capabilities and creating new opportunities. Pichai stressed the need for broad societal dialogue and responsible development as AI approaches more advanced, potentially recursive self-improvement stages. He affirmed Google's long-term commitment to leading in AI while navigating its profound implications responsibly.

marsbit1 ч. назад

Google CEO Admits Lagging Behind in Coding

marsbit1 ч. назад

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

The Paradox of Automation: The more powerful AI becomes, the more work humans have to do. This article, based on observations from AI-heavy company Every, argues that while AI agents automate tasks like coding, writing, and customer service, they don't eliminate human jobs. Instead, they transform work and create *more* demand for human expertise. AI commoditizes "yesterday's human capabilities" by cheaply generating code, text, and images from past data. This leads to an abundance of similar, generic outputs. Consequently, what becomes scarce and valuable is human judgment in the present moment: knowing *what* is worth doing, *why*, and *how* to do it well. The article identifies two collaboration models: "Agent employees" for delegated tasks and "human-AI collaboration" within tools like Claude Code for complex work. In both cases, humans are essential to set direction, judge quality, and maintain systems. As AI makes execution cheap, human roles shift from executors to designers, reviewers, and meaning-makers. The author addresses "benchmark anxiety" by explaining that AI excels within specific, human-defined problem "frames." As AI masters one frame (e.g., code rewriting), new, more complex frames emerge (e.g., deciding *when* to rewrite). This creates an ongoing cycle where AI chases the frames, but humans remain the "framers." Even with advanced AGI, this dynamic may persist as long as AI lacks true human-like agency and self-directed purpose. The core paradox holds: automation amplifies the need for the very human judgment it seems to replace.

marsbit2 ч. назад

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

marsbit2 ч. назад

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

"a16z: 7 Charts on How Tokenization is Changing the Nature of Assets" Tokenized Assets (or Real-World Assets - RWA) are transforming asset forms, liquidity, and financial system construction. The market recently surpassed $30 billion, stabilizing around $34 billion (excluding stablecoins), representing a tenfold increase in less than two years, driven by clearer regulations, mature institutional infrastructure, and increased financial institution adoption. The primary driver of recent growth is tokenized U.S. Treasury bonds. These offer investors efficient, flexible digital access to yield-bearing assets and improve institutional operations like settlement and collateral management. Other asset classes show varied growth: asset-backed credit leads, followed by niche financial assets (e.g., reinsurance, mining notes), while venture capital took longer to scale. Market segmentation shows high concentration. In commodities, tokenized gold dominates (~$5 billion), as its standardized, storable nature fits tokenization well. Bonds are the largest category ($15.2B), but only ~5% are used in DeFi protocols. Conversely, smaller niches like reinsurance tokens see high (~84%) on-chain utilization, highlighting a core industry divide: most current tokenized assets are merely digitized records for easier holding/transfer, lacking the "composability" (free combination/interaction) that is key to blockchain-native finance. The ecosystem is distributed across multiple blockchains, with Ethereum hosting over half the value ($15.7B), followed by BNB Chain, Solana, and others. Future market size predictions vary widely (e.g., $2-$30 trillion by 2030+), but all indicate massive potential from the current small base. Tokenized assets currently represent minuscule fractions of their global counterparts (e.g., 0.01% of global bonds). The current phase focuses on digitizing straightforward assets. The next challenge is to bring more complex financial components on-chain and deeply integrate tokenized assets into composable, internet-native financial infrastructure.

链捕手3 ч. назад

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

链捕手3 ч. назад

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

"Tokenized Assets: How Tokenization Changes the Nature of Assets" by a16z Crypto The market for tokenized assets, excluding stablecoins, has grown from under $3 billion two years ago to over $340 billion today. US Treasury bonds are the primary growth driver, allowing investors to hold yield-bearing assets digitally and enabling more efficient settlement. Other key sectors include private credit (growing fastest), commodities (dominated by gold), and niche financial assets. However, the market remains concentrated in tokenized US Treasuries and gold. A critical insight is that most tokenized assets currently lack "composability." While the total market is large, only a small fraction is actively used within DeFi protocols. For instance, only about 5% of tokenized bonds and a low percentage of tokenized gold are utilized on-chain. In contrast, assets like reinsurance and private credit tokens show much higher on-chain usage rates (84% and 33%, respectively). This highlights a divide: many tokenized assets are merely digital records on a blockchain without enabling new, programmable financial applications. The Pantera Capital Token Native Index indicates over 70% of tokenized assets have minimal on-chain native functionality. Ethereum remains the dominant blockchain for tokenized assets (over $150B), but the ecosystem is diversifying across chains like BNB Chain, Solana, and Stellar, based on factors like cost and compliance. Major institutions forecast massive future growth, with predictions for the tokenized asset market ranging from $2 trillion to over $30 trillion by the early 2030s. However, compared to the global financial system (e.g., ~$140T bonds, multi-trillion dollar gold market), tokenized assets currently represent a tiny fraction (0.01% or less). The conclusion is that while tokenization has begun by digitizing and streamlining settlement for simpler assets, the next phase involves bringing more complex financial instruments on-chain and deeply integrating them into composable, internet-native financial infrastructure.

Odaily星球日报3 ч. назад

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

Odaily星球日报3 ч. назад

The Revived Codex, Carrying OpenAI's Hopes for IPO

This article analyzes the intense recent development of OpenAI's Codex, positioning it as a crucial component for OpenAI's impending IPO. Over the past two months, Codex has seen a rapid series of major updates focused on integrating into real enterprise workflows. Key new features include enhanced context capture (Appshots, file previews, built-in browser), long-running task execution ("Goal Mode"), remote operation (phone control, lock-screen access), and enterprise management tools (plugin sharing, access tokens, automated risk review). These updates aim to make Codex a comprehensive AI workbench that can "see the scene, push tasks, and manage risks." The author argues that while ChatGPT proves OpenAI's massive user base and API provides foundational revenue, Codex represents OpenAI's clearest path to demonstrating tangible, high-value commercial viability. It targets developers and engineering teams—a segment already accustomed to paying for efficiency gains in costly software development cycles. This is critical because, despite higher overall revenue, OpenAI's adjusted operating margins remain deeply negative, highlighting the challenge of outrunning immense compute costs. The pressure is amplified by competitor Anthropic's success with Claude Code, which has shown that a focused approach on high-value enterprise and developer workflows can lead to a path toward profitability. Codex's aggressive evolution is thus seen as OpenAI's strategic move to capture a similar enterprise-ready, revenue-generating narrative essential for its market debut. In essence, "ChatGPT proved OpenAI has users. Codex needs to prove OpenAI is a business that can make money."

marsbit4 ч. назад

The Revived Codex, Carrying OpenAI's Hopes for IPO

marsbit4 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на SOL (SOL) представлены ниже.

活动图片