Hyperscale Data создаст биткоин-резерв на сумму $100 млн

cryptonews.ruPublished on 2025-05-14Last updated on 2025-09-15

Компания Hyperscale Data планирует вложить $100 млн в биткоин.
Часть средств привлекут через продажу дата-центра в штате Монтана.
Hyperscale Data активно расширяет свой ИИ-кампус в Мичигане.

Компания Hyperscale Data, специализирующаяся на инфраструктуре для искусственного интеллекта и цифровых активов, объявила о запуске казначейской стратегии с инвестицией до $100 млн в биткоин.

Финансирование частично обеспечат за счет продажи активов дата-центра в штате Монтана и капитала из программы размещения акций. Известно, что компания будет публиковать еженедельные обновления о своих криптоактивах для обеспечения прозрачности.

Hyperscale Data будет удерживать первую криптовалюту как основной резервный актив, следуя примеру Strategy. Дочерняя компания Sentinum, которая ранее занималась майнингом, обеспечит операционную экспертизу.

Также Hyperscale Data ускоряет развитие своего ИИ-кампуса в Мичигане. Там клиенты компании разворачивают серверы с GPU NVIDIA для задач искусственного интеллекта и высокопроизводительных вычислений.

Объект в Мичигане принадлежит Alliance Cloud Services и обеспечивает примерно 30 мегаватт мощности. Компания продвигает поэтапное расширение, которое, как ожидается, достигнет 70 мегаватт в течение следующих 20 месяцев.

Генеральный директор Hyperscale Data Уильям Б. Горн заявил:

«Мы строим компанию на двух самых мощных трендах — искусственном интеллекте и цифровых активах. Сочетание развития площадки в Мичигане и накопления биткоина — это стратегия создания долгосрочной ценности для акционеров».

Отметим, ранее руководитель отдела исследований Galaxy Digital Алекс Торн заявил, что США могут объявить о создании стратегического биткоин-резерва уже до конца текущего года.

Litecoin ETF’s Slow Start Shows Altcoin Funds Still Face A Demand Test

The Canary Capital spot Litecoin ETF (LTCC) has had a slow start, with reported inflows of around $9.3 million since launch and assets under management at a lower level. This highlights the significant gap in institutional demand compared to Bitcoin and Ethereum ETFs. While Litecoin has an established history, its more modest narrative around payments and longevity hasn't yet made it a must-own institutional product. The case demonstrates that regulatory approval alone does not guarantee strong investor allocation. For the broader altcoin ETF thesis, future products may see different demand, but Bitcoin and Ethereum are likely to remain the primary institutional channels for the foreseeable future.

bitcoinist16m ago

Litecoin ETF’s Slow Start Shows Altcoin Funds Still Face A Demand Test

bitcoinist16m ago

The Entire Internet Hails Noam's Joining, But OpenAI's Loss Bill Just Got Thicker

While the AI community celebrates Noam Shazeer, co-author of the "Attention Is All You Need" paper, joining OpenAI as Head of Architectural Research, the company's audited financials reveal a starkly different reality. In 2025, OpenAI reported $13.07 billion in revenue but a massive $20.92 billion operating loss. Even excluding a one-time accounting charge, the cash burn is severe, with $3.7 billion consumed in Q1 2026 alone. This high-profile hiring occurs against a backdrop of significant internal research talent drain, with key founders and researchers departing as the company's focus shifts from exploratory research to product iteration. Meanwhile, OpenAI's fundamental business model faces a deep crisis. It paid Microsoft $10.59 billion for compute in 2025, while its vast user base of 9 billion weekly actives includes only 50 million paying customers, making growth a direct driver of escalating costs. The article argues Shazeer's recruitment is less about technical necessity and more about crafting a compelling narrative for OpenAI's upcoming IPO, aiming to justify a rumored $1 trillion valuation to future public market investors. It contrasts OpenAI's strategy with Anthropic's reported path to profitability, which relies on a strong enterprise customer base and cost control, rather than star-powered narratives. Ultimately, the piece concludes that while Shazeer's architectural work may take 1-2 years to materialize, OpenAI's financial clock is ticking much faster, with its massive losses undercutting the celebratory headlines.

marsbit21m ago

The Entire Internet Hails Noam's Joining, But OpenAI's Loss Bill Just Got Thicker

marsbit21m ago

To 'Own' or 'Rent' Intelligence? The New Question for AI Startups

The shutdown of Mythos has prompted a fundamental question for AI startups: is your intelligence "rented" or "owned"? While using frontier model APIs allows for rapid prototyping, it cedes control over your core capabilities to external providers, whose decisions on pricing, rules, or even shutdowns can jeopardize your business. The critical issue isn't just cost, but control and ownership. The lesson isn't to abandon frontier models, but to build upon them. "Owning" intelligence means starting with a powerful open-source model and systematically shaping it with your unique assets: your proprietary data, workflows, domain expertise, edge cases, and evaluation standards. Over time, this creates a company-specific asset that reflects your real work. The future of AI isn't a single, dominant model. There will be multiple "frontiers": general-purpose frontier models, company-specific models fine-tuned on proprietary knowledge, specialized vertical models, and routing systems that orchestrate multiple models. The winning companies will be those that transform intelligence into their own unique, controlled asset, ensuring no one can pull the floor from under their product.

marsbit40m ago

To 'Own' or 'Rent' Intelligence? The New Question for AI Startups

marsbit40m ago

Market Trend (June 19): US-Iran Deal Drives Out Geopolitical Premium; Chip Stocks Soar to New Highs; Energy Sector Leads Declines

U.S. Market Trends (June 19): U.S.-Iran Deal Eases Tensions, Chip Stocks Soar, Energy Sector Leads Declines. U.S. stocks rallied on Thursday as the signing of a temporary U.S.-Iran deal in Geneva de-escalated Middle East tensions, with Saudi oil tankers transiting the Strait of Hormuz. This geopolitical relief helped markets recover from recent Fed-driven volatility. The S&P 500 rose over 1%, the Nasdaq gained nearly 2%, and the Dow Jones Industrial Average closed at another record high. The Philadelphia Semiconductor Index surged over 6% to a historic peak. Chip stocks were the standout performers. Reports of an Apple-Intel design and foundry deal for certain products, alongside mentions of potential Nvidia and SpaceX collaborations with Intel, propelled the sector. Intel surged ~10.5%, while memory chip makers like Micron also saw significant gains, highlighting sustained confidence in long-term AI capital expenditure. In contrast, the energy sector was the day's sole loser, with the S&P 500 energy sub-index declining as WTI crude fell ~2% to around $74.29/barrel. The reopening of key shipping routes erased prior geopolitical risk premiums. SpaceX extended losses for a second day on news of a potential large bond offering. Market volatility (VIX) dropped sharply, indicating a swift reversal of post-Fed jitters. Treasury yields dipped slightly but remained elevated. The focus now shifts to upcoming economic data, including next week's PCE inflation report and Micron's earnings, which will serve as a key test for the AI trade's durability.

marsbit43m ago

Market Trend (June 19): US-Iran Deal Drives Out Geopolitical Premium; Chip Stocks Soar to New Highs; Energy Sector Leads Declines

marsbit43m ago

Will MicroStrategy Fall Into a Death Spiral? How Will the Macro Outlook Evolve in the Second Half of the Year?

**Summary:** The discussion centers on recent Bitcoin price declines and the evolving financial strategy of MicroStrategy (MSTR). The core argument is that the primary pressure is not from one-off Bitcoin sales by MSTR, but from the market's new expectation that MSTR may need to engage in *sustained, small-scale* Bitcoin sales to cover cash flow obligations for its growing portfolio of preferred shares and debt instruments (like STRC). This shift is driven by its stated goal of maintaining "bitcoins per share neutrality." The market is now testing whether it can absorb this potential ongoing selling pressure without entering a severe "death spiral" with Bitcoin's price. A resolution may involve MSTR softening its approach to avoid damaging both its stock and Bitcoin. The conversation then explores the parallel rise of AI-related stocks. The guest posits that AI is fundamentally restructuring labor, with "tokens" (representing access to AI models/compute) becoming a new form of capital and a substitute for human execution. This drives corporate efficiency and profits, benefiting upstream hardware providers (semiconductors, data centers), which explains the sustained rally. This represents the early stages of a "machine economy." Regarding crypto exchanges offering US stock trading, this is seen as a natural evolution. With few crypto-native assets generating lasting value, exchanges are pivoting to distribute valuable real-world assets (RWAs). This doesn't necessarily harm crypto's long-term prospects, as blockchain infrastructure may become crucial for future machine-to-machine economies. The analysis concludes that the era of rampant altcoin speculation is likely over, heavily damaged by the liquidity shock of the "1011" event (likely referring to a major market crash). Meme-driven capital has largely migrated to US equities. Looking ahead, macroeconomic uncertainty is rising due to potential large IPOs (e.g., SpaceX) and the US elections. While short-term market corrections are possible, the long-term trends of AI-driven productivity gains and the maturation of blockchain towards real-world utility and institutional adoption remain intact.

marsbit47m ago

Will MicroStrategy Fall Into a Death Spiral? How Will the Macro Outlook Evolve in the Second Half of the Year?

marsbit47m ago

Trading

Spot

Futures