Introduction
In today's blog, we will dive into the AI crypto trend that is currently happening in the market. This trend has gained significant attention due to the upcoming NVIDIA GTC event, which is considered the biggest AI event of the year. The focus of this trend is on decentralized physical networks, specifically projects that aim to match the supply and demand of GPU and CPU power to meet the growing AI demand. In this blog, we will explore some of the lesser-known altcoins in the AI deepin sector that have unique advantages in addressing the supply and demand curve.
Understanding the Current State of the Market
Before we delve into the specific projects, it's important to note that the popular coins such as Render, Aash, and Benser have already gained significant attention and are well-established in the market. However, the upside potential for these coins may not be as high as it once was. These coins primarily focus on the supply side of the equation, providing a large supply of GPUs but lacking exposure to real users and high-demand machines. This creates an opportunity for new projects to disrupt the market by addressing the demand side and focusing on high-demand machines.
Project 1: Gamer Coin and Gamer Hash
Gamer Coin, despite its name, is not solely focused on gaming. It is the currency behind the platform called Gamer Hash, which aims to tap into the retail GPU owner'sdeepen and gamers' computing power. By leveraging decentralized crypto tokens, Gamer Hash connects the supply and demand side, allowing users to share their GPU power and earn tokens. The platform is now pivoting towards becoming a consumer-focused AI and deepin platform, offering advanced use cases such as cloud gaming and 3D rendering. With an existing user base of savvy gamers, Gamer Coin has the potential to become a disruptive project in the AI deep sector.
Project 2: Ether
Ether is a distributed GPU cloud infrastructure that targets both gaming and AI. While other projects focus on the demand side, Ether competes on the supply side by aiming to become the highest-tier GPU provider. With contracts with the world's largest gaming studios and cloud gaming companies, Ether has already demonstrated its traction in the market. By addressing the supply side and onboarding major players in the gaming industry, Ether has positioned itself to become a key player in the AI deep sector.
Project 3: GPU Net
Similar to Ether, GPU Net competes on the supply side and aims to provide a larger supply of high-tier GPUs compared to its competitors. With a vision to have 1 million GPUs on the platform by 2030, GPU Net focuses on high-demand machines such as NVIDIA h100 and a100. These high-tier GPUs are in high demand by tech giants such as Meta, Microsoft, Google, and Amazon. By targeting the supply of these high-demand machines, GPU Net sets itself apart from other projects and has the potential to become a significant player in the AI deep sector.
Project 4: IET
IET, previously known as AntBit, is an upcoming access layer that sits on top of decentralized GPU networks such as Render and Fcoin. It serves as an aggregator layer, providing developers with an easy way to access these networks and deploy AI models and frameworks. By simplifying the process and offering an API layer, IET aims to bridge the gap between the supply of GPUs and the developers who need them. With partnerships with Render, Fcoin, and Solana, IET is positioned to become a key player in the AI deep sector.
Conclusion
As the AI crypto trend continues to gain momentum, new opportunities are emerging in the AI deepin sector. Projects such as Gamer Coin, Ether, GPU Net, and IET are addressing key challenges in the market and have the potential to disrupt the industry. By focusing on the demand side, high-tier supply, and providing easy access to GPU networks, these projects offer unique advantages in the rapidly evolving AI landscape. While established coins have their place in the market, exploring new projects with untapped potential can provide investors with exciting opportunities in the AI deepin sector.
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