L2-сеть Hydra на базе Cardano установила рекорд по пропускной способности выше 1 млн транзакций в секунду

cryptonews.ruPubblicato 2024-08-05Pubblicato ultima volta 2024-12-05

Что произошло? Пропускная способность сети второго уровня (L2) Hydra на базе блокчейна Cardano превысила 1 млн транзакций в секунду (TPS). Показатель зафиксирован в ходе турнира по игре Doom, который проходит с 3 декабря по 2025 января при поддержке компании-разработчика Cardano Input Output Hong Kong (IOHK). Основатель Cardano Чарльз Хоскинсон объяснил столь высокий результат тем, что в качестве транзакции учитывался каждый игровой кадр.

Источник: X.com

Что еще известно? Согласно официальным данным страницы турнира, пропускная способность в момент написания статьи составляет лишь 503 TPS, на пике показатель поднимался до 878 000 TPS. Тем не менее, пиковый результат по-прежнему гораздо выше, чем у конкурирующих блокчейнов первого уровня (L1), таких как Solana и Ethereum.

Так, по данным Chainspect, рекордом пропускной способности Solana стала отметка 7229 TPS, теоретический максимум составляет 65 000 TPS. У Ethereum эти показатели равны 62,34 и 119 TPS соответственно. У Cardano они еще ниже: 11,62 и 18,02 TPS.

Разработчик децентрализованной биржи (DEX) Sundaeswap на базе Cardano Джош Маршан считает, что Hydra обладает огромным потенциалом масштабируемости, ограниченным лишь возможностями процессора, и 1 млн TPS не является пределом.

Источник: X.com

В свою очередь криптоаналитик под ником Goku отметил, что транзакции в рамках турнира по Doom не обрабатывались в основной сети Cardano, а являлись симуляцией в рамках тестнета.

Источник: X.com

Hydra, запущенная в прошлом году, призвана повысить масштабируемость Cardano за счет увеличения пропускной способности при одновременном снижении задержек и затрат на проведение транзакций.

В основной сети Cardano в настоящий момент поэтапно проводится обновление Chang, которое позволит внедрить многоуровневую систему управления и сделать проект полностью децентрализованным.

Нативный токен Cardano (ADA) на фоне общего ралли крипторынка, вызванного победой Дональда Трампа на президентских выборах в США, с 5 ноября прибавил 271% и достиг отметки $1,23, что является максимумом с января 2022 года.

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Not Betting on Goals but on 'Tears': Polymarket Users Argue Over Ronaldo's Final World Cup Match

Title: Beyond Goals, Betting on Tears: Polymarket Users Clash Over Ronaldo's Emotional World Cup Exit On July 6, Portugal's 0-1 loss to Spain in the World Cup round of 16 marked the final tournament for Cristiano Ronaldo. The 41-year-old star's emotional reaction—red eyes, wiping his face, fighting back tears—was captured globally. Concurrently, a fierce debate erupted on the crypto prediction platform Polymarket over a specific market: "Will Ronaldo cry during the 2026 FIFA World Cup?" The market, with over $23 million in volume, saw its "YES" probability surge to 99% after the match, but the result was disputed and entered a final review phase. The core conflict centered on the market's precise rules: it required "clearly visible tears streaming down [Ronaldo's] face" in photos/videos taken on the field or bench area during Portugal's matches. While major media outlets described Ronaldo as "in tears" and footage showed him emotional, "NO" bettors argued visible tear tracks were not conclusively evident, only red eyes and dampness. Polymarket's official clarification on July 8 stated that eligible evidence existed showing Ronaldo crying with visible tears on his face post-match. The dispute now goes to a UMA oracle community vote for resolution. This incident highlights a recurring challenge for prediction markets: they excel with quantifiable events but can spark major controversies over subjective, visual, or emotional interpretations. It also serves as a reminder for participants to scrutinize rule wording meticulously, not rely on general perception. Ultimately, such high-profile disputes drive significant trading volume and attention for the platform.

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Not Betting on Goals but on 'Tears': Polymarket Users Argue Over Ronaldo's Final World Cup Match

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DeepSeek Secretly Builds AI Chip, Specializing in Inference, Project Started a Year Ago with No Public Recruitments

DeepSeek, the Chinese AI company known for its algorithmic models, is secretly developing its own AI chip to reduce dependence on Nvidia, according to a Reuters report. The chip is designed specifically for AI inference, not training, and the project began approximately a year ago. Currently in early stages, DeepSeek is reportedly in discussions with chip design firms, foundries, and memory suppliers. The company, historically focused on algorithmic efficiency, has been discreetly hiring chip design engineers without public job postings. This move aligns with a global trend where major AI model companies like OpenAI and Anthropic are also pursuing custom chip development. DeepSeek founder Liang Wenfeng previously highlighted chip shortages as a challenge. While the company initially trained models on Nvidia H800s and later adapted to Huawei's Ascend chips, it now seeks greater control over its hardware foundation. Designing a competitive AI chip is a significant challenge, requiring years and substantial investment with no guarantee of success. However, DeepSeek's efforts are backed by a recent major funding round of approximately 51 billion RMB (about $7.4 billion) raised in June 2026. The funds are designated for expanding data centers based on domestic chips, developing proprietary AI chips, and recruiting top global talent. Infrastructure plans are also advancing, with job postings for data center design engineers, including projects in locations like Ulanqab, Inner Mongolia. The company remains characteristically low-key, with sources speaking anonymously and no official comment from DeepSeek itself. Nevertheless, this initiative marks a strategic expansion from software algorithms into the hardware layer that powers its AI systems.

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DeepSeek Secretly Builds AI Chip, Specializing in Inference, Project Started a Year Ago with No Public Recruitments

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