股价三日暴涨300%,「Sui 微策略」会不断推动了 SUI 价格上涨吗?

区块律动2025-07-30 tarihinde yayınlandı2025-07-30 tarihinde güncellendi

Özet

从 Mill City 的财库微策略,到 Karatage 与基金会的联手加持,Sui 不仅展现出强大的资本吸引力,更证明其技术架构与生态潜力正在获得主流认可。一个由机构推动、生态发力的微策略范式正逐步成型,Sui 的后续表现,值得期待。

7 月 28 日,Mill City Ventures III, Ltd.(股票代码:MCVT)宣布进行 4.5 亿美元私募融资以启动 SUI 财库策略。对冲基金 Karatage 担任领投方,Sui 基金会也提供了等额投资。Galaxy Digital、Pantera Capital、Electric Capital 等知名机构也纷纷站台支持,Galaxy Asset Management 更将负责监督 Mill City 的财务运营,进一步增强市场信心。

受消息推动,MCVT 股价三日内从 2 美元飙升至最高 8 美元,累计涨幅最高达 400%,昨日收于 6.65 美元。这不仅标志着一家传统上市金融公司正式迈入加密基础设施新纪元,也宣告又一「山寨币微策略」正式启航,继 ETH、SOL、BNB 之后,SUI 正在迎来其机构共识时刻。

两大机构联手推动 SUI 微策略:Karatage、Sui 基金会登场

非银行贷款机构和金融公司 Mill City Ventures III, Ltd. 近日宣布,其已签署证券购买协议,以私人投资方式投资公开股权,以每股 5.42 美元的价格购买和出售 83,025,830 股普通股,预计总收益约为 4.5 亿美元。本次发行预计将于 2025 年 7 月 31 日左右完成。公司计划将私募净收益的约 98% 用于收购 Sui 区块链的原生代币 SUI,并将私募净收益的约 2% 用于支持公司的短期贷款业务。SUI 将作为公司的主要财务储备资产。这一策略转向,标志着 Mill City 从短期贷款和专业融资的传统业务中完成了转型,正式迈入以加密原生资产为核心的财务结构新时代。

这一转型的顺利推进,离不开 Karatage 与 Sui 基金会的深度参与与全力支持。

本轮融资由总部位于伦敦的对冲基金 Karatage 领投。这家专注于数字资产与前沿科技的自营基金,由 Marius Barnett 与 Stephen Mackintosh 联合创办,不仅参与注资,更直接参与 Mill City 的战略制定与治理架构重塑——Barnett 将出任董事会主席,Mackintosh 则担任首席投资官,全面负责公司的 SUI 投资执行与资产管理。

事实上,Karatage 的加入并非一时兴起,而是有着深远的战略铺垫。该基金早在 Sui 生态早期便已参与了 Walrus 和 Suilend 等核心协议的建设,并与 Sui 的原始贡献者 Mysten Labs 建立了长期合作关系,积累了丰富的生态运营经验。Mysten Labs 是支撑 Sui Network 的技术核心,由前 Meta-Novi 研发主管 Evan Cheng 与首席工程师 Sam Blackshear 于 2021 年创立,主导开发了 Sui Wallet、Sui Explorer 等关键基础设施。

Karatage 的联合创始人 Stephen Mackintosh 指出「我们正值机构加密货币和人工智能达到临界规模的关键时刻,这将为整个区块链基础设施带来重大机遇,Sui 具备机构对大规模加密货币所需的速度和效率,以及能够支持人工智能工作负载并保持安全性和去中心化的技术架构,因此完全有能力被大规模采用」。

凭借这些早期的深度参与与技术协作,Karatage 对 Sui 网络的架构与生态发展路径有着深刻理解,也为 Mill City 的这一战略转型提供了强有力的信心背书与执行支持。

此外,Sui 基金会也是此次战略转型的重要推动者之一,不仅参与本轮融资,还持续通过多种方式支持整个 Sui 生态的发展壮大。

作为一家致力于推动 Sui 网络建设与应用的独立机构,Sui 基金会不仅是早期的核心投资者,也是生态繁荣背后的重要推动力量。Sui 基金会一直致力于 Sui 生态的建设,包括向开发者提供资助、扶持构建下一代去中心化应用(dApp),并进一步完善 Sui 网络上的核心基础设施,例如 DeepBook 中心化限价订单簿(CLOB)、自动做市商机制(AMM)、流动性质押协议与借贷系统等。

基金会一贯秉持「回购再分配」的策略,通过合理配置资源,将资金回流至对网络增长最具推动力的项目之中。与此同时,Sui 基金会还在持续对顶级 DeFi 协议进行 SUI 代币激励,当前生态内几乎所有头部项目均获得官方支持,极大提升了 Sui 网络的 TVL 和实际使用热度,也推动了 SUI 代币的价格穿越牛熊、长期稳健表现。

正如 Sui 基金会董事总经理 Christian Thompson 所言:「Sui 的建立是为了提供所需的可扩展性、速度和安全性,以支持下一代去中心化应用程序和现实世界的加密用例,面向消费者和机构——从稳定币到人工智能,再到游戏和更广泛的金融」。

作为一条被誉为「最出色的区块链网络之一」的突破性 Layer1,Sui 以其行业领先的吞吐能力和并发架构,正在吸引越来越多开发者与机构的关注与信任,成为加密世界中山寨币微策略的重要焦点。

总结

Sui 生态系统正在因人工智能和去中心化金融而热度暴涨。当前,Sui 的链上总锁仓量(TVL)已突破 20 亿美元,刷新历史纪录,日交易量亦节节攀升,生态活跃度显著提升。7 月 27 日,SUI 币价一度升至 4.5 美元,创下半年以来新高,成为近期表现最亮眼的山寨币之一。

从 Mill City 的财库微策略,到 Karatage 与基金会的联手加持,Sui 不仅展现出强大的资本吸引力,更证明其技术架构与生态潜力正在获得主流认可。一个由机构推动、生态发力的微策略范式正逐步成型,Sui 的后续表现,值得期待。

İlgili Okumalar

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1 saat önce

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1 saat önce

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit1 saat önce

Token Inefficient, Economy Tokenless

marsbit1 saat önce

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit1 saat önce

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit1 saat önce

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit1 saat önce

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit1 saat önce

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

In today's TechFlow Intelligence Briefing, several major tech stories highlight a growing theme of trust and credibility gaps across AI, crypto, and finance. AI company Anthropic has publicly called for a global pause in AI development, citing risks from Claude's "recursive self-improvement." Ironically, this coincides with reports the company is preparing for a massive IPO targeting a near $1 trillion valuation. This perceived hypocrisy, coupled with widespread user complaints about Claude's declining performance, is sparking debate over whether the safety warning is genuine or a competitive tactic. Meanwhile, in a substantive security move, Anthropic open-sourced a framework for AI-powered vulnerability discovery. In the crypto market, Bitcoin's price drop below $61,000 triggered over $1.16 billion in liquidations, flipping the market into a state where more BTC is held at a loss than at a profit, a historical bearish signal. On the corporate front, SpaceX's highly anticipated IPO is generating immense Wall Street excitement, with Goldman Sachs projecting 100x revenue growth by 2030. However, the S&P 500 has refused to fast-track the company's inclusion post-IPO, potentially limiting immediate institutional demand. Separately, ByteDance's AI app Doubao lost over 6 million monthly active users after introducing a subscription model, highlighting the challenges of AI monetization. Other notable developments include Nvidia certifying HBM4 memory from Samsung, SK Hynix, and Micron; Cloudflare's acquisition of front-end tooling company VoidZero; and its CEO warning that bot traffic now exceeds human traffic online. The underlying narrative connects these events: a trust crisis. From AI firms' contradictory actions and crypto volatility to the clash between SpaceX's hyped narrative and institutional rules, a pattern is emerging where stated intentions and actual practices are increasingly misaligned.

marsbit1 saat önce

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

marsbit1 saat önce

İşlemler

Spot
Futures

Popüler Makaleler

SUI Nasıl Satın Alınır

HTX.com’a hoş geldiniz! SUI Network (SUI) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında SUI Network (SUI) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: SUI Network (SUI) Varlıklarınızı SaklayınSUI Network (SUI) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: SUI Network (SUI) Varlıklarınızla İşlem YapınHTX'in spot piyasasında SUI Network (SUI) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

652 Toplam GörüntülenmeYayınlanma 2024.12.12Güncellenme 2026.06.02

SUI Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların SUI (SUI) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片