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Axe Compute (NASDAQ: AGPU) Completes Corporate Restructuring (formerly POAI), Enterprise-Grade Decentralized GPU Computing Power Aethir Officially Enters Mainstream Market

Predictive Oncology has officially rebranded as Axe Compute (NASDAQ: AGPU), marking its transition into commercializing Aethir’s decentralized GPU network to provide enterprise-grade, guaranteed computational power for global AI companies. The core infrastructure is supported by the Aethir Strategic Compute Reserve (SCR), which offers predictable GPU reservations, dedicated computing clusters, and enterprise-level SLAs to address AI training, inference, and data-intensive workload demands. This move represents the first time decentralized GPU infrastructure has entered mainstream capital markets via a U.S. publicly listed company. Axe Compute will serve as the enterprise-facing entity, delivering compliant and scalable computational resources, while Aethir continues to power the underlying decentralized GPU-as-a-Service infrastructure. The structure bridges Web3 decentralized networks with Web2 enterprise needs, allowing businesses to utilize distributed GPU resources within familiar procurement and compliance frameworks. Aethir’s network currently spans 93 countries and over 200 regions, with more than 435,000 GPU containers deployed, supporting high-end hardware like NVIDIA H100, H200, B200, and B300. Axe Compute’s model aims to mitigate industry challenges such as long GPU procurement cycles, centralized cloud queuing, and pricing volatility by offering reserved GPU access, bare-metal performance, multi-region deployment, and enterprise SLAs. This listing is seen as a significant milestone in scaling decentralized AI infrastructure into enterprise markets, providing a publicly evaluable model for the commercial adoption of distributed computational resources.

marsbit12/12 13:35

Axe Compute (NASDAQ: AGPU) Completes Corporate Restructuring (formerly POAI), Enterprise-Grade Decentralized GPU Computing Power Aethir Officially Enters Mainstream Market

marsbit12/12 13:35

Before the Bull Market Returns: Lessons I Learned in the Crypto World with Millions

Investment Lessons from the Crypto Market: A Reflection Before the Bull Run This article shares hard-earned lessons from losing millions in the crypto space, offering a sobering perspective on market behavior and personal psychology. The author begins by distinguishing between investment and speculation, noting that crypto is primarily driven by sentiment and tokenomics, not fundamentals. In bull markets, emotion dictates 60% of pricing, token distribution 30%, and fundamentals only 10%. This makes speculation far more profitable than value investing, which often leads to significant losses as holders refuse to cut losses, hoping for a recovery that never comes. A critical mistake is poor timing and position sizing. The author emphasizes the importance of maximizing risk exposure early in a trend's reversal—when uncertainty is high but odds are favorable—rather than during the euphoric peak when downside risk is severe. Examples from the AI meme season and the BSC rally illustrate how late entries often lead to missed opportunities or forced, high-risk bets. The piece also warns against traditional valuation metrics like P/E ratios and token buybacks, which assume sustainable earnings—a rarity in crypto where few projects survive long-term. Market leaders often change, and entire sectors are disproven. Ultimately, the author concludes that theoretical knowledge isn't enough; true understanding comes from painful, personal experience. The market's cyclical nature means many are doomed to repeat errors, but self-awareness and disciplined strategy are essential for survival and success.

marsbit12/12 13:21

Before the Bull Market Returns: Lessons I Learned in the Crypto World with Millions

marsbit12/12 13:21

Axe Compute [NASDAQ: AGPU] Completes Corporate Restructuring (formerly POAI), Enterprise-Grade Decentralized GPU Computing Power Aethir Officially Enters Mainstream Market

Predictive Oncology has officially rebranded as Axe Compute and will trade on NASDAQ under the ticker AGPU. This rebranding signifies the company's shift to operating as an enterprise-level provider, commercializing Aethir's decentralized GPU network to deliver guaranteed computational power for global AI enterprises. Axe Compute's infrastructure is supported by the Aethir Strategic Compute Reserve (SCR), which offers predictable GPU reservations, dedicated computing clusters, and enterprise-grade SLAs to address computational bottlenecks in AI training, inference, and data-intensive workloads. This move marks the first time decentralized GPU infrastructure has entered mainstream capital markets via a U.S. publicly listed company. Axe Compute will serve as the enterprise-facing delivery and contracting entity, while Aethir continues to operate as the underlying decentralized GPU-as-a-Service infrastructure. This structure bridges Web3 decentralized networks with Web2 enterprise demand, allowing businesses to use distributed GPU resources within familiar compliance and procurement frameworks. Aethir's network currently spans 93 countries, over 200 regions, and deploys more than 435,000 GPU containers, supporting high-end hardware like NVIDIA H100, H200, B200, and B300. Axe Compute's model aims to provide guaranteed GPU reservations, dedicated clusters, bare-metal performance, multi-region deployment, and enterprise SLAs—addressing common industry challenges such as long procurement cycles, centralized cloud queues, and price volatility. This represents a significant step in scaling decentralized AI infrastructure for commercial use.

深潮12/12 13:14

Axe Compute [NASDAQ: AGPU] Completes Corporate Restructuring (formerly POAI), Enterprise-Grade Decentralized GPU Computing Power Aethir Officially Enters Mainstream Market

深潮12/12 13:14

Bitcoin's Creator Has Not Appeared Publicly for Exactly 15 Years. Where Did Satoshi Disappear To?

Bitcoin's creator, Satoshi Nakamoto, has been absent from the public eye for exactly 15 years, with his last known communication dating back to April 26, 2011. His final public forum post on December 12, 2010, addressed a DoS attack on the Bitcoin network. Shortly before disappearing, he privately corresponded with early developers, informing them he had "moved on to other things" and that Bitcoin was in good hands, specifically naming Gavin Andresen as the lead developer. His withdrawal is speculated to be linked to Andresen's planned talk about Bitcoin at the CIA headquarters. Satoshi's true identity remains one of cryptocurrency's greatest mysteries. Numerous theories exist, ranging from him being an individual to a group, or even a project by the CIA. Several individuals, including cryptographers Hal Finney and Nick Szabo, have been proposed as candidates, but all have either denied it or remained silent. Some speculate he may be deceased. The mystery is fueled further by the immense wealth potentially held by Satoshi. Research based on a unique mining pattern, dubbed "Patoshi," suggests he may have mined approximately 1.1 million BTC, worth over $100 billion at current prices. This was possible due to minimal mining competition and a high coin emission rate in Bitcoin's early days, when it could be mined on a regular laptop. The network's computational power has since grown by over 10 billion times.

RBK-crypto12/12 12:55

Bitcoin's Creator Has Not Appeared Publicly for Exactly 15 Years. Where Did Satoshi Disappear To?

RBK-crypto12/12 12:55

How Does x402 V2 Enable Autonomous Payments for AI Agents?

The x402 protocol, initially developed by Coinbase, leverages the HTTP 402 status code to embed payment logic directly into web requests. The newly released V2 upgrade introduces significant improvements to address limitations in cross-chain support, scalability, identity authentication, and repeated payments experienced in V1. Key enhancements include: - **Wallet Identity and Reusable Sessions**: Supports wallet-based authentication (e.g., Sign-In-With-X via CAIP-122), allowing reusable sessions after initial payment. This reduces latency and costs for high-frequency use cases like AI agent tasks and LLM inference. - **Unified Payment Interface**: Enables multi-chain payments (e.g., Base, Solana) and compatibility with traditional systems (ACH, SEPA, credit cards) via Facilitators. Dynamic payTo routing allows context-aware pricing and complex market structures. - **Modular Architecture**: A plugin-driven SDK simplifies integration, supporting easy expansion to new chains and payment methods without core changes. Multi-Facilitator support automates optimal payment path selection based on preferences. - **Automatic Discovery**: Services can expose metadata for automatic synchronization, ensuring real-time pricing and availability updates without manual intervention. For end-users, V2 enables seamless, subscription-like access with reduced friction. Developers benefit from flexible, low-maintenance payment integration and dynamic pricing models. AI agents gain autonomy to make economic decisions, such as purchasing API calls or compute resources independently using allocated budgets. x402 V2 evolves from a pay-per-use tool into a versatile economic layer, though challenges like ecosystem adoption, modular risks, and regulatory uncertainty remain.

比推12/12 12:36

How Does x402 V2 Enable Autonomous Payments for AI Agents?

比推12/12 12:36

Bitcoin (BTC) Price Trend and Investor Sentiment Suggest a Bullish December

Bitcoin (BTC) is showing signs of a potential bullish December, challenging a decade-old bearish seasonal pattern where November losses typically extend into year-end declines. Key factors supporting this shift include reduced leverage, with open interest dropping from $94 billion to $60 billion, and Bitcoin’s price reclaiming its monthly volume-weighted average price (rVWAP), indicating controlled distribution. Liquidity dynamics have also shifted, with deep liquidity clusters moving upward, and around $3 billion in short positions set to liquidate near $96,000. Market structure diverges from historical cycles due to spot ETF inflows, introducing constant structural demand and accelerating price discovery. Analysts note that Bitcoin’s four-year cycle, while not obsolete, is no longer time-aligned, resembling extended accumulation phases like mid-2016 or late-2019. Macro liquidity (M2) growth has plateaued, creating a late-cycle environment where risk assets rally despite underlying economic softening. Supporting indicators, such as CNY/USD and ETH/BTC correlations, along with improving PMI data and gold’s relative strength, suggest continued risk-on momentum rather than cycle fatigue. While buy-sell ratios show urgency, analysts caution this may reflect positioning squeeze rather than sustainable accumulation. Overall, December’s performance may depend more on structural forces—ETF flows, liquidity rotation, and shifting macro correlations—than traditional halving-driven周期 patterns.

cointelegraph_中文12/12 12:20

Bitcoin (BTC) Price Trend and Investor Sentiment Suggest a Bullish December

cointelegraph_中文12/12 12:20

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