BitGo расширяет институциональное хранение нативных токенов Canton Network

cryptonews.ru2025-02-27 tarihinde yayınlandı2025-10-30 tarihinde güncellendi

Компания BitGo, занимающаяся инфраструктурой цифровых активов, добавила поддержку Canton Coin (CC), нативного токена Canton Network, что может упростить хранение этого актива через квалифицированного кастодиана для американских учреждений.

Компании объявили об интеграции в среду, заявив, что она предоставит банкам и управляющим активами соответствующий требованиям доступ к сети, которая уже обрабатывает значительные объемы токенизированных активов реального мира (RWA).

Партнерство вводит холодное хранение и страховое обеспечение, а также может проложить путь к будущей поддержке стейблкоинов, токенизированных ценных бумаг и других ончейн-финансовых инструментов.

Интеграция «представляет собой значительный шаг на пути к институциональному принятию CC и поддержке более широкой экосистемы Canton», - заявил Мелвис Лангинтуо, исполнительный директор Canton Foundation, некоммерческой организации, которая курирует управление сетью и развитие экосистемы.

Canton Network фокусируется на привлечении регулируемых учреждений в ончейн, обеспечивая взаимодействие финансовых приложений и токенизированных активов при соблюдении требований. Его спонсор, компания Digital Asset, недавно привлекла 135 000 000 долларов от инвесторов, включая Goldman Sachs, Citadel Securities, BNP Paribas и Depository Trust & Clearing Corporation (DTCC).

Рисунок 1. Источник: James Seyyfart.

Участие институциональных инвесторов в Canton Network набирает обороты

С момента запуска в 2023 году активность Canton Network растет. Недавно к экосистеме наряду с такими крупными финансовыми институтами, как Goldman Sachs, JPMorgan, Bank of America и Citigroup, присоединился P2P.org - поставщик инфраструктуры для стекинга, управляющий активами на сумму более 10 000 000 000 долларов.

Как недавно сообщалось, два крупнейших банка мира, BNP Paribas и HSBC, присоединились к Canton Foundation для поддержки его миссии и продвижения технологии блокчейн, адаптированной к потребностям институциональных инвесторов.

Расширение сети происходит на фоне растущего интереса институциональных инвесторов к RWA, являющимся одним из центральных направлений стратегии Canton. Отраслевые данные показывают, что общая стоимость токенизированных RWA, за исключением стейблкоинов, превысила 35 000 000 000 долларов, а сферы их применения охватывают частное кредитование, казначейские облигации США, частный капитал и акции.

Рисунок 2. Общая рыночная стоимость RWA, без учета стейблкоинов. Источник: RWA.xyz.

İlgili Okumalar

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

Odaily星球日报1 saat önce

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

Odaily星球日报1 saat önce

Can BTC whales save Bitcoin after $4.06B ETF outflows?

Institutional demand for Bitcoin shows signs of weakening, with U.S. Spot Bitcoin ETFs experiencing seven consecutive days of net outflows, totaling roughly $4.06 billion in monthly outflows and reducing total ETF assets to $72.82 billion. This decline removes a key source of structural spot buying. However, large Bitcoin holders (whales) have shown increased accumulation activity as prices dipped below $60,000, with a significant spike in high-value transactions, suggesting they view the correction as a buying opportunity. This whale demand could help cushion near-term selling pressure. Conversely, Long-Term Holders are showing signs of capitulation, with metrics indicating realized losses and eroding conviction, which may eventually reduce future selling pressure. For a sustained recovery, broader spot market participation remains essential.

ambcrypto1 saat önce

Can BTC whales save Bitcoin after $4.06B ETF outflows?

ambcrypto1 saat önce

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

marsbit1 saat önce

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

marsbit1 saat önce

The Eight Fathers of Transformer: Where Are They Now?

The founding authors of the seminal 2017 paper "Attention Is All You Need," which introduced the Transformer architecture, have all departed from Google and are now pioneering diverse ventures across the AI landscape. Their current paths highlight the field's evolution and fragmentation. Ashish Vaswani co-founded Essential AI after a stint at Adept, but recent reports suggest he and his team are being recruited by Nvidia. Noam Shazeer left Google twice, first to found Character.AI—later acquired by Google—before recently joining OpenAI. Niki Parmar, after co-founding both Adept and Essential AI with Vaswani, is now at Anthropic. Jakob Uszkoreit is the CEO of Inceptive, applying AI to RNA and drug design. Llion Jones co-founded Sakana AI in Tokyo, exploring collective intelligence from smaller models. Aidan N. Gomez is the CEO of Cohere, focusing on enterprise AI solutions. Łukasz Kaiser remains in research at OpenAI, contributing to models like GPT-4 and o1. Illia Polosukhin co-founded the NEAR Protocol blockchain, positioning it for an AI-agent economy. Despite their divergent paths—spanning biotech, enterprise software, blockchain, and foundational research—a shared sentiment persists: the Transformer is not the final answer. Each founder continues to seek the next significant architectural breakthrough, driven by the same innovative spirit that created the modern AI era.

marsbit1 saat önce

The Eight Fathers of Transformer: Where Are They Now?

marsbit1 saat önce

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

The Space Computing Race: A Photonic Advantage The competition for space-based computing has intensified, with figures like Elon Musk and NVIDIA's Jensen Huang highlighting its potential. Musk predicts solar-powered AI satellites could offer the most cost-effective computing by 2032. However, space presents extreme challenges for traditional electronic chips: radiation from cosmic particles can cause errors, the vacuum environment hinders heat dissipation, and limited solar power constrains energy-hungry systems. Photonic computing, using light instead of electrons, offers a promising solution. Its core advantages for space are threefold: 1) **Radiation Resistance**: Photons are charge-neutral, making them inherently immune to particle interference. 2) **Low Heat Generation**: Light propagation in waveguides generates minimal heat, bypassing critical thermal management issues. 3) **Low Power Consumption**: Photonic chips have near-zero static power draw, aligning perfectly with the energy constraints of satellites. Furthermore, for a given payload weight and volume, photonic systems can potentially deliver higher total compute density. Since they require less bulky cooling and power infrastructure, more space can be allocated to the compute units themselves. While photonic computing holds great promise, current industry approaches face hurdles like the memory-compute bottleneck (separate storage and processing) and challenges in large-scale integration. Engineering for space—withstanding launch vibrations and validating full system operation in orbit—remains a critical step. The path forward resembles the evolution from single GPUs to computing clusters, but via a photonic route. As electronic chips approach physical limits in miniaturization, photonic computing and optical interconnects (光算光联) may provide a key alternative to bypass these constraints and define the next generation of space-based computing capabilities.

marsbit2 saat önce

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

marsbit2 saat önce

İşlemler

Spot
活动图片