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▲ NVIDIA
As NVIDIA's market capitalization soars towards $5 trillion, expectations for a massive influx of funds into the artificial intelligence (AI)-based cryptocurrency market are growing. In particular, projects related to AI infrastructure and decentralized computing are emerging as beneficiaries.
According to TheCryptoBasic on May 20 (local time), cryptocurrency analysts are noting the possibility that NVIDIA's expanding dominance in the AI market could lead to a re-evaluation of the entire AI cryptocurrency sector. The article mentioned Bittensor (TAO), Render (RENDER), and Akash Network (AKT) as representative AI cryptocurrency projects.
Bittensor is a project that aims to build a decentralized AI learning network. Participants are rewarded based on their contributions to model training and data provision. TheCryptoBasic reported that if the AI industry grows explosively, decentralized AI networks like Bittensor could establish themselves as core infrastructure.
Render is a decentralized rendering network that connects GPU computing resources. Analysis suggests that Render's potential for utilization is being highlighted amidst a surge in GPU demand due to AI model training and the spread of generative AI services.
Akash Network is a decentralized cloud computing project considered an alternative to centralized cloud services. The possibility has been raised that AI companies could utilize decentralized computing resources to reduce the burden of large-scale server costs.
TheCryptoBasic analyzed that NVIDIA's growth is changing the capital flow of the entire AI ecosystem, going beyond a mere stock market issue. It explained that AI-related cryptocurrency projects are attracting investor attention because they are linked to actual AI infrastructure demand rather than traditional blockchain narratives.
However, the article also mentioned the high volatility and speculative nature of the AI cryptocurrency market. It stated that as AI-related expectations grow, short-term surges and drops may recur, and differences in actual technological capabilities and network utilization among projects could act as important variables in the market.
*Disclaimer: This article is for investment reference only, and we are not responsible for any investment losses based on it. The content should be interpreted for informational purposes only.*
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