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Friday, December 27, 2024

Nvidia Stock Soars 6% on Q1 Results, AI Tokens Barely Move

Artificial intelligence-focused cryptocurrencies surged on Wednesday, bucking the broader digital asset market’s muted performance ahead of chip-making giant Nvidia’s (NVDA) quarterly earnings report.

Large-cap AI tokens like Fetch.ai’s FET, Render’s RNDR, Bittensor’s TAO, and SingularityNET’s AGIX saw gains of 4%-5% in the past 24 hours, according to CoinGecko data. The token of the decentralized physical infrastructure network AIOZ Network (AIOZ) soared 7% after the project was listed on the Nvidia Accelerated Applications Catalog, where users can find tools and services built on Nvidia platforms.

Meanwhile, the native token of the layer-1 (L1) network Near Protocol (NEAR), which garnered attention after its co-founder spoke at an Nvidia conference earlier this year, experienced a 2% gain. NEAR was the best-performing asset among the CoinDesk 20, which overall declined by 0.6%, with modest drops in bitcoin (BTC) and ether (ETH).

The broader market decline followed a rapid rally over the past few days, spurred by positive regulatory developments in the U.S. and falling bond yields as inflation fears eased.

Nvidia shares were down 1.5% just before the close of regular trading on Wednesday, with earnings results expected after the bell. Patrick Moorhead, founder and CEO of Moor Insights & Strategy, expressed confidence in an interview with Yahoo Finance earlier this week, stating that “the company is going to clearly beat expectations.” Nvidia’s stock has climbed 90% this year and more than 200% year-over-year.

Lillian Hocker
Lillian Hocker
Lillian Hocker is a seasoned technology journalist and analyst, specializing in the intersection of innovation, entrepreneurship, and digital culture. With over a decade of experience, Lillian has contributed insightful articles to leading tech publications. Her work dives deep into emerging technologies, startup ecosystems, and the impact of digital transformation on industries worldwide. Prior to her career in journalism, she worked as a software engineer at a Silicon Valley startup, giving her firsthand experience of the tech industry's rapid evolution.

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