Fetch.ai и Zus Network оптимизируют решение для хранения данных Hot Plus

cryptonews.ruPublished on 2021-09-16Last updated on 2025-01-16

В рамках сотрудничества, объявленного 14 января, Fetch.ai (FET), лидер в области инноваций ИИ-агентов со штаб-квартирой в Кембридже, объединилась с Zus, децентрализованной сетью хранения данных, разработанной для удовлетворения специфических потребностей ИИ. Партнерство между Fetch.ai и Zus Network направлено на повышение непрерывности и безопасности бизнеса. Согласно пресс-релизу, Zus предлагает альтернативу традиционным облачным сервисам, таким как AWS, предоставляя решение для хранения данных «на месте».

Используя распределенное хранилище, повторное шифрование Proxy Key, безопасность Split Key и технологии распределения данных, Zus обеспечивает полное владение корпоративными данными, защиту от утечек сторонних данных и непрерывность бизнеса во время сбоев. Кроме того, каждому набору данных в сети присваивается уникальный идентификатор на блокчейне, что обеспечивает криптографическое происхождение и безопасность.

Zus служит вторичным страховым слоем для Fetch.ai, снижая риски от простоев, утечек данных и изменений политики, влияющих на криптоклиентов. Это снижает зависимость от поставщиков, обеспечивая лучшую стабильность и безопасность для проектов Fetch.ai. В своем сотрудничестве Fetch.ai и Zus будут работать над документацией SOC/ISO, чтобы соответствовать требованиям соответствия клиентов. Это укрепит позиции Fetch.ai в корпоративном секторе, одновременно выполняя основные требования аудита, гарантируя, что они соответствуют отраслевым стандартам и ожиданиям регулирующих органов.

Изображение: freepik

Designed by Freepik

Trending Cryptos

Related Reads

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbit1h ago

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbit1h ago

The "Iron Rule" of Chip Equipment Is Being Broken

For years, the semiconductor equipment industry followed an unwritten "iron rule": suppliers offered steep discounts for new tool introductions (Design-in) and faced consistent price pressure during repeat orders, especially during market downturns. This long-standing buyer's market dynamic is now being upended. Recently, SK Hynix's primary equipment suppliers have reportedly requested a 3-4% price *increase*, a nearly unprecedented move. This shift is driven by a severe supply-demand imbalance fueled by the AI compute boom. Securing equipment has become an urgent arms race as chipmakers' expansion speed dictates their ability to fulfill massive AI chip orders. Key areas feeling the strain include: **TCB (Thermal Compression Bonding) Equipment:** Demand is exploding, driven by the simultaneous needs of HBM4 memory stacking, AI chip Chip-on-Substrate (C2S), and logic Chiplet Chip-on-Wafer (C2W) packaging. Players like Hanmi Semiconductor, Hanwha Semitech, and ASMPT are receiving major orders. While hybrid bonding is seen as the future, TCB remains the pragmatic choice for HBM4 mass production, with its lifecycle extended by relaxed specifications and ongoing technological upgrades. **Test Equipment Bottlenecks:** Ironically, AI-driven shortages are now crippling test equipment manufacturing. Critical components like FPGAs, Driver ICs, and CPUs face severe shortages and extended lead times (up to 52 weeks for FPGAs), as AI data center and server vendors prioritize supply. This creates a paradoxical cycle: AI chip shortages drive fab expansion, which requires more test equipment, whose production is delayed because its key parts are diverted to make AI chips. The industry is entering a broad, AI-powered upcycle. SEMI forecasts global semiconductor equipment sales to hit a record $156 billion by 2027, fueled by investment in advanced logic/foundry, HBM-driven DRAM, and advanced packaging (like CoWoS). Major players like TSMC, SK Hynix, and Micron are aggressively ramping capital expenditure. In conclusion, leading equipment vendors are no longer just selling tools; they are selling the critical capability to deliver AI-era capacity. Pricing power is shifting decisively to those with indispensable technology in key process nodes like advanced logic, HBM, and advanced packaging, rewriting the industry's traditional power structure.

marsbit1h ago

The "Iron Rule" of Chip Equipment Is Being Broken

marsbit1h ago

Trading

Spot
Futures

Hot Articles

HTX Learn: Learn Hot Cryptos to Share 50,000 USDT​

To enhance your understanding of this week's featured cryptos, we are rolling out various rewarding events. Join them now and bring home generous rewards through learning and trading.

21.6k Total ViewsPublished 2026.04.29Updated 2026.04.30

HTX Learn: Learn Hot Cryptos to Share 50,000 USDT​

HTX Learn: Learn Hot Tokens to Share 1000 USDT​

To enhance your understanding of this week's featured cryptos, we are rolling out various rewarding events. Join them now and bring home generous rewards through learning and trading.

20.7k Total ViewsPublished 2026.05.21Updated 2026.05.21

HTX Learn: Learn Hot Tokens to Share 1000 USDT​

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of HOT (HOT) are presented below.

活动图片