Nvidia CES 2025 推出 AI 加密代幣未能激發市場熱情，引發市場熱情質疑

Nvidia 憑藉 GeForce RTX 50 系列的發布和其他公告成為 CES 2025 上的頭條新聞。英偉達的進步歷來為以人工智慧為中心的加密項目帶來了樂觀情緒。

CES 2025: Nvidia unveils GeForce RTX 50 series, AI innovations

CES 2025：Nvidia 推出 GeForce RTX 50 系列、AI 創新

At CES 2025, Nvidia unveiled its latest advancements in AI technology with the launch of its GeForce RTX 50 series and other groundbreaking announcements. These updates have typically sparked optimism among investors in AI-focused crypto projects, considering Nvidia's standing in the tech industry. However, this time, the market trend seems to be telling a different story.

在 CES 2025 上，Nvidia 推出了 GeForce RTX 50 系列和其他突破性公告，展示了其在 AI 技術方面的最新進展。考慮到英偉達在科技業的地位，這些更新通常會激發以人工智慧為重點的加密專案投資者的樂觀情緒。然而，這一次，市場走勢似乎講述了不同的故事。

Instead of triggering a rally, Nvidia's announcements coincided with a sharp drop in AI-related crypto tokens. Over the last 24 hours, Render (RNDR), Bittensor (TAO), Internet Computer (ICP), and Near Protocol (NEAR) have seen double-digit drops, largely diverging from the broader cryptocurrency market performance.

英偉達的公告並沒有引發反彈，而是恰逢人工智慧相關加密代幣大幅下跌。在過去 24 小時內，Render (RNDR)、Bittensor (TAO)、Internet Computer (ICP) 和 Near Protocol (NEAR) 均出現了兩位數的下跌，與更廣泛的加密貨幣市場表現大相徑庭。

The unusual deviation in price action raised questions about whether the market's enthusiasm for decentralized AI platforms has waned or if other factors are driving this sell-off among AI crypto tokens.

價格走勢的異常偏差引發了人們的疑問：市場對去中心化人工智慧平台的熱情是否已經減弱，或者是否有其他因素推動了人工智慧加密代幣的拋售。

Nvidia's CES 2025 unveilings

Nvidia 在 CES 2025 揭曉

At CES 2025, Nvidia CEO Jensen Huang took to the stage to unveil a slew of innovations that could redefine the landscape of AI technology. The highlight of the event was the launch of the GeForce RTX 50 series, powered by the Blackwell architecture.

在 CES 2025 上，Nvidia 執行長黃仁勳登台展示了一系列可能重新定義 AI 技術格局的創新成果。活動的一大亮點是推出了採用 Blackwell 架構的 GeForce RTX 50 系列。

The flagship RTX 5090 boasts an astonishing 92 billion transistors and a mind-boggling 3,352 trillion AI operations per second, doubling the performance of its predecessor. This cutting-edge chip will retail for a hefty $1,999 and hit shelves on January 30, 2025, alongside other models in the series.

旗艦 RTX 5090 擁有驚人的 920 億個電晶體和每秒令人難以置信的 3,352 兆次 AI 運算，性能是其前身的兩倍。這款尖端晶片的零售價高達 1,999 美元，並於 2025 年 1 月 30 日與該系列的其他型號一起上架。

In another exciting development, Nvidia introduced Project DIGITS, a $3,000 personal AI supercomputer designed for researchers and students. Set to be released in May 2025, DIGITS operates independently of cloud systems and offers unparalleled performance for training AI models with up to 200 billion parameters. This compact system could revolutionize accessibility to high-end AI computing.

在另一個令人興奮的開發中，Nvidia 推出了 Project DIGITS，這是一款專為研究人員和學生設計的價值 3,000 美元的個人人工智慧超級電腦。 DIGITS 將於 2025 年 5 月發布，獨立於雲端系統運行，為訓練具有多達 2000 億個參數的 AI 模型提供無與倫比的性能。這種緊湊的系統可以徹底改變高階人工智慧運算的可訪問性。

Moreover, Nvidia debuted the Cosmos AI Platform, a collection of foundational AI models for autonomous systems like self-driving cars and humanoid robots. Cosmos also aids in building digital twins and optimizing industrial processes, further extending Nvidia's reach beyond traditional tech sectors.

此外，英偉達還推出了 Cosmos AI 平台，這是一系列適用於自動駕駛汽車和人形機器人等自主系統的基礎 AI 模型。 Cosmos 也有助於建立數位孿生和優化工業流程，進一步將 Nvidia 的業務範圍擴展到傳統科技領域之外。

The company also strengthened its foothold in the automotive industry, announcing partnerships with Toyota and other major players. By integrating its Drive AGX Orin supercomputer and DriveOS into next-generation autonomous vehicles, Nvidia positions itself as a cornerstone in the race toward vehicle autonomy.

該公司還加強了在汽車行業的立足點，宣布與豐田和其他主要參與者建立合作關係。透過將其 Drive AGX Orin 超級電腦和 DriveOS 整合到下一代自動駕駛汽車中，Nvidia 將自己定位為汽車自動駕駛競賽的基石。

These innovations showcase Nvidia's strategy to dominate the AI ecosystem, from consumer-level GPUs to enterprise-grade AI solutions. The launch of DIGITS, Cosmos, and the RTX 50 series underscores a broader ambition: making AI technologies more accessible while maintaining leadership in performance and innovation.

這些創新展示了英偉達主導人工智慧生態系統的策略，從消費級 GPU 到企業級人工智慧解決方案。 DIGITS、Cosmos 和 RTX 50 系列的推出凸顯了更廣泛的雄心壯志：讓人工智慧技術更易於使用，同時保持性能和創新的領先地位。

Announcements fail to excite AI crypto tokens

公告未能激發人工智慧加密代幣的興趣

Despite Nvidia's groundbreaking announcements, AI-related crypto tokens had a rough day in the market. Major AI tokens, including NEAR, ICP, RENDER, and TAO, experienced significant drops of over 15%, lagging behind the broader cryptocurrency market performance and largely surprising investors.

儘管英偉達發布了開創性的公告，但與人工智慧相關的加密貨幣代幣在市場上的日子卻不好過。包括 NEAR、ICP、RENDER 和 TAO 在內的主要 AI 代幣的跌幅均超過 15%，落後於更廣泛的加密貨幣市場表現，這在很大程度上令投資者感到驚訝。

NEAR, for instance, prices dropped more than 15% since January 7, resulting in the token shedding nearly all its gains since January 1. Interestingly, market participants seemed to largely ignore the Nvidia news, with many AI crypto tokens continuing their downtrend.

例如，NEAR 的價格自1 月7 日以來下跌了15% 以上，導致該代幣幾乎回吐了自1 月1 日以來的所有漲幅。 Nvidia 的消息，許多AI 加密代幣繼續下跌。

RNDR prices also painted a similar price pattern to NEAR on the daily charts, showing successive red candles. This likely highlights profit-booking following the token's recent 36% rally between December 30 and January 6.

RNDR 價格在日線圖上也繪製了與 NEAR 類似的價格模式，顯示出連續的紅色蠟燭。這可能凸顯了該代幣在 12 月 30 日至 1 月 6 日期間上漲 36% 後的獲利盤。

Similarly, Internet Computer's ICP token price dropped more than 16% since January 7 after a brief consolidation period following the token's short-lived rally between January 1 and January 3. Bulls would likely try to hold the ICP price above $10.

同樣，自1 月7 日以來，Internet Computer 的ICP 代幣價格在1 月1 日至3 日短暫上漲後經歷了短暫的盤整期，價格下跌了16% 以上。 10 美元以上。

Meanwhile, TAO prices fared no better, plunging nearly 25.5% since January 6 to reach a daily low of $438.4 on January 8.

與此同時，TAO 價格的表現也好不到哪裡去，自 1 月 6 日以來暴跌近 25.5%，並於 1 月 8 日觸及每日低點 438.4 美元。

The broader cryptocurrency market downturn, profit-taking after previous rallies, and overbought conditions on lower timeframes likely amplified the decline. Additionally, Nvidia's emphasis on centralized AI ecosystems might have led to a perceived lack of synergy with blockchain-based AI projects.

更廣泛的加密貨幣市場低迷、先前反彈後的獲利了結以及較短時間範圍內的超買狀況可能會放大跌幅。此外，英偉達對集中式人工智慧生態系統的重視可能導致人們認為與基於區塊鏈的人工智慧專案缺乏協同作用。

While Nvidia's advancements highlight the growing importance of AI, their implications for decentralized AI remain unclear, raising concerns about the future integration of blockchain in AI-driven innovation.

雖然英偉達的進步突顯了人工智慧日益增長的重要性，但它們對去中心化人工智慧的影響仍不清楚，引發了人們對區塊鏈在人工智慧驅動創新中未來整合的擔憂。