What is it?
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- EMC announced that it provides a differentiated blockchain-based DeFi and creative platform through decentralized GPU rental services.
- With the increase in demand for AI development, decentralized GPU projects are gaining attention as an efficient alternative due to the GPU acquisition problem.
- Data analysis firm Nansen projected that the profitability of decentralized GPU rental services could grow by up to 200%.
- The article was summarized using an artificial intelligence-based language model.
- Due to the nature of the technology, key content in the text may be excluded or different from the facts.

Photo provided by EMC
As interest in Artificial Intelligence (AI) continues to rise, there is a growing trend of cryptocurrency projects attempting to combine AI with blockchain.
The most representative type of AI-related cryptocurrency project is the decentralized Graphics Processing Unit (GPU) rental project. Decentralized GPUs are a type of Decentralized Physical Infrastructure Network (DePIN), which refers to projects that upload unused computing power to the blockchain and rent it out to developers or startups in need of computing power.
EdgeMatrixChain (EMC) is also one of the DePIN projects that provide GPU rental services. However, it is differentiated from other GPU rental DePINs by its ability to offer DeFi and creative platforms using Layer 1 blockchain. In August, EMC raised a total of $20 million from venture capital firms such as P2 Ventures and Amber Group to develop its Layer 1 blockchain.
Why are decentralized GPUs needed?

Graphics Processing Unit. /Photo provided by EMC
Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is currently the most important issue in the AI industry.
Since the emergence of Open AI's Chat GPT, everyone has jumped into AI development, leading to a surge in GPU demand, while supply remains insufficient. As a result, high-performance GPUs used in AI development are currently as expensive as a car. While big tech companies like Meta and Microsoft have no problem purchasing expensive GPUs, startups and individual developers face financial difficulties.
The demand for GPUs can be seen in NVIDIA's third-quarter report, which virtually monopolizes the GPU market. NVIDIA reported that its revenue and net profit surged by 94% and 106%, respectively, year-on-year, reaching $33.16 billion and $19.39 billion. These figures far exceeded market expectations.
Decentralized GPU DePINs are emerging as an alternative that can significantly reduce the cost of GPU computing resources. Binance highlighted in its first-half report this year that "as interest in AI grows, the cost of computing resources such as GPUs has increased," and "decentralized GPU DePINs have emerged as a cost-effective alternative."
There is also hidden demand for decentralized GPUs from Chinese AI developers sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, stating that decentralized GPUs, with features such as anonymity through smart contracts, are becoming an attractive option for Chinese AI developers.
EMC, a one-stop platform for AI

Alex Go, founder of EMC, is explaining about NVIDIA H100 cluster SuperPOD at Token 2049. /Photo provided by EMC
As mentioned earlier, EMC is a project that rents out the computing power of GPUs. To this end, EMC currently has 274 nodes on its blockchain and has registered over 3,000 GPUs. The GPUs provided by EMC include NVIDIA A100, GeForce RTX 4090, and GeForce RTX 3090.
In particular, the cluster 'SuperPOD,' made by assembling 1,024 'NVIDIA H100' GPUs, is considered EMC's strength. EMC previously participated in the 'Singapore Token 2049' conference and showcased a real-time demo of SuperPOD.
EMC not only rents out GPUs but also provides various AI-related services to users. For example, it offers a platform business that allows users to develop and contentize AI more easily. The EMC AI platform, EMC HUB, includes ▲ AI agent Jarvis Bot that can generate various content, ▲ creative transaction application OmniMuse, and ▲ 3D content generation application ZoZo World.
Additionally, EMC helps build networks suitable for AI use. Specifically, it has implemented low latency and high transaction throughput in the network by introducing technologies such as smart routing and data caching. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network."
Moreover, EMC is also providing DeFi services using GPUs. Currently, anyone can purchase the computing power of NVIDIA H100 GPUs in token form within EMC, and by staking it through EMC's DeFi, they can earn an additional income of about 2.7% to 7.1% annually, depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service.

Photo captured from CoinMarketCap
According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The currently circulating EMC tokens amount to about 30 million, accounting for 3% of the total supply (about 1 billion). The market capitalization is approximately $2.37 million.
Meanwhile, EMC is generating an annual income of about $15 million. Although the business scale is not yet large, the outlook for decentralized GPU projects is generally positive. Data analysis firm Nansen, in a report published with MetaStreet, projected that "considering the DeFi income, tokenomics, and GPU rental revenue of GPU rental services, the total revenue of these services could surge by at least 30% to a maximum of 200%."





