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加密货币新闻

3 种低市值山寨币有可能在 2024 年超越狗狗币 (DOGE) 和 Solana (SOL)

2024/12/27 03:35

随着 2024 年加密货币市场持续升温,投资者正在寻找有潜力脱颖而出的低市值山寨币

3 种低市值山寨币有可能在 2024 年超越狗狗币 (DOGE) 和 Solana (SOL)

As the cryptocurrency market continues to heat up in 2024, investors are on the lookout for low-cap altcoins with the potential to outshine established players like Dogecoin (DOGE) and Solana (SOL). While these big names have delivered impressive gains in the past, several emerging tokens are making waves with their innovative features, real-world applications, and strong growth potential. One standout opportunity is the Lightchain AI (LCAI) Presale, which has already caught the attention of savvy investors.

随着 2024 年加密货币市场持续升温,投资者正在寻找有潜力超越狗狗币 (DOGE) 和 Solana (SOL) 等老牌加密货币的低市值山寨币。虽然这些大牌在过去取得了令人印象深刻的收益,但一些新兴代币凭借其创新功能、实际应用和强劲的增长潜力正在掀起波澜。一个突出的机会是 Lightchain AI (LCAI) 预售,它已经引起了精明投资者的关注。

Here are three promising low-cap tokens that could outpace DOGE and Solana in 2024:

以下是三种有前途的低市值代币,它们的发展速度可能会在 2024 年超过 DOGE 和 Solana:

Render Network (RNDR): Decentralizing GPU Rendering

渲染网络 (RNDR):分散 GPU 渲染

Render Network (RNDR) is a small token that aims to share GPU work and aid fields like 3D art, virtual worlds, and game creation. This project caters to the growing demand for powerful computing assistance, making it a unique entry point in the blockchain space.

渲染网络(RNDR)是一个小代币,旨在共享 GPU 工作并辅助 3D 艺术、虚拟世界和游戏创作等领域。该项目满足了对强大计算辅助不断增长的需求,使其成为区块链领域的独特切入点。

RNDR allows users to obtain GPU support without the need for costly hardware through its decentralized marketplace, where rendering capacity can be purchased and sold. This novel approach enhances GPU rendering efficiency and cost-effectiveness compared to traditional cloud methods. As domains such as NFTs, games, and virtual reality continue to expand, Render is poised to capitalize on the increasing requirement for rendering power.

RNDR 允许用户通过其分散的市场获得 GPU 支持,而无需昂贵的硬件,在该市场中可以购买和出售渲染能力。与传统的云方法相比,这种新颖的方法提高了 GPU 渲染效率和成本效益。随着 NFT、游戏和虚拟现实等领域的不断扩展,Render 已准备好利用对渲染能力日益增长的需求。

Unlike meme coins like DOGE, RNDR is inherently tied to real-world applications in the creative and digital art industries, making it a promising long-term prospect. With its expanding ecosystem and practical utility, Render Network is set to potentially outpace DOGE and Solana in 2024 as the demand for creative solutions gains momentum in the blockchain realm.

与 DOGE 等模因币不同,RNDR 本质上与创意和数字艺术行业的现实应用紧密相关,这使其具有广阔的长期前景。随着区块链领域对创意解决方案的需求不断增长,凭借其不断扩大的生态系统和实用性,Render Network 有望在 2024 年超过 DOGE 和 Solana。

Lightchain AI (LCAI): The Future of AI and Blockchain Integration

轻链人工智能(LCAI):人工智能与区块链融合的未来

Lightchain AI (LCAI) is one of the most exciting low-cap tokens in the market today, merging the capabilities of artificial intelligence with blockchain technology. While established tokens like DOGE and Solana have gained popularity through strong communities and broad adoption, LCAI is carving out a niche by addressing the growing need for decentralized AI applications. Several aspects make LCAI stand out.

Lightchain AI(LCAI)是当今市场上最令人兴奋的低市值代币之一,它将人工智能的功能与区块链技术相结合。虽然 DOGE 和 Solana 等成熟代币通过强大的社区和广泛采用而受到欢迎,但 LCAI 正在通过满足对去中心化人工智能应用程序日益增长的需求来开拓利基市场。 LCAI 在几个方面脱颖而出。

Firstly, it offers AI-powered blockchain solutions, enabling developers to build decentralized applications (dApps) tailored to industries such as finance, healthcare, and logistics. This wide range of use cases goes beyond the meme-based utility of DOGE and the general smart contract focus of Solana.

首先,它提供人工智能驱动的区块链解决方案,使开发人员能够构建适合金融、医疗保健和物流等行业的去中心化应用程序(dApp)。这种广泛的用例超出了 DOGE 基于模因的实用性和 Solana 的一般智能合约焦点。

Moreover, LCAI utilizes a unique Proof of Intelligence (PoI) consensus model, which rewards nodes for performing AI computations, rendering the network both productive and sustainable. At a presale price of just $0.0041, LCAI presents an exciting early-stage investment opportunity.

此外,LCAI 利用独特的智能证明 (PoI) 共识模型,奖励执行人工智能计算的节点,使网络既高效又可持续。 LCAI 的预售价仅为 0.0041 美元,提供了令人兴奋的早期投资机会。

Its low-entry cost, combined with its innovative features, positions it for significant growth in 2024. As AI continues to sweep the tech and blockchain industries, Lightchain AI could lead the way in AI-driven decentralized applications, potentially outpacing established tokens like DOGE and Solana.

其低进入成本加上其创新功能,使其有望在 2024 年实现显着增长。随着人工智能继续席卷科技和区块链行业,Lightchain AI 可能会在人工智能驱动的去中心化应用中引领潮流,有可能超越 DOGE 等成熟代币和索拉纳。

Fetch.ai (FET): Decentralizing Autonomous Systems

Fetch.ai (FET):去中心化自治系统

Another promising low-cap token with the potential to significantly outpace DOGE and Solana in 2024 is Fetch.ai (FET). The project centers on decentralized autonomous systems (DAS), leveraging blockchain to automate decision-making processes across industries.

另一个有前途的低市值代币是 Fetch.ai (FET),它有可能在 2024 年显着超过 DOGE 和 Solana。该项目以去中心化自治系统(DAS)为中心,利用区块链实现跨行业决策流程的自动化。

One of Fetch.ai’s key innovations is its Autonomous Economic Agents (AEAs), capable of acting independently, making decisions, and interacting with other systems in a decentralized manner. This technology finds broad applications in areas such as smart cities, supply chain optimization, and machine-to-machine communication. Fetch.ai's focus on real-world utility sets it apart from meme tokens like DOGE.

Fetch.ai 的关键创新之一是其自主经济代理 (AEA),它能够独立行动、做出决策并以去中心化的方式与其他系统交互。该技术在智慧城市、供应链优化和机器对机器通信等领域有着广泛的应用。 Fetch.ai 对现实世界实用性的关注使其与 DOGE 等 meme 代币区分开来。

By addressing challenges in industries such as transportation, healthcare, and finance, it becomes a practical and valuable asset for both institutional and retail investors. Additionally, Fetch.ai has formed strategic partnerships in sectors like automotive, energy, and supply chain, increasing its chances for widespread adoption and long-term growth.

通过解决交通、医疗保健和金融等行业的挑战,它成为机构和散户投资者的实用且有价值的资产。此外,Fetch.ai 还在汽车、能源和供应链等领域建立了战略合作伙伴关系,增加了其广泛采用和长期增长的机会。

With its focus on solving real-world problems and fostering automation across industries, Fetch.ai is well-positioned for growth in 2024, especially as demand for decentralized autonomous systems rises in the blockchain space.

Fetch.ai 专注于解决现实世界问题并促进跨行业自动化,因此在 2024 年实现增长处于有利地位,特别是随着区块链领域对去中心化自治系统的需求不断增长。

新闻来源:finbold.com

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