Established in 2022, EMC aims to solve the current mismatch between GPU supply and demand in the AI industry by leveraging idle GPU resources worldwide through smart contracts.
In EMC, computing power providers can deploy currently-idle high performance GPU computing power on the EMC network, issue high- quality RWA assets through blockchain protocols, and also receive dual rewards for nodes and staking. This promotes the circulation of idle computing power globally and the prosperity of RWA DeFi.
The Reason Behind EMC Project
Nowadays, the most demand’s reason of GPU is not because of gaming/graphical editing/anything that is related for personal or real life needs. The most reason behind GPU purchase is mainly for computing power of running an AI, this is no different like oil on industrial revolution. Even the big companies like Meta and Microsoft Will Own Billions Worth of Nvidia H100 GPUs by Year End of 2024.
There is vast amounts of GPU resources lie idle around the world, particularly after the Ethereum merge in 2022. Decentralization is the key, so GPU owners can deploy their idle computing resources and making money while asleep, it also solving the gap between supply and demand.
Developers and Creators Benefits
AI developers will gain access to cost-effective GPU resources, reducing development costs by up to 80% compared to traditional cloud services. They can also earn token rewards for their contributions to the ecosystem.
AI creators enjoy a secure and private environment for their work, with blockchain-based authentication protecting their creations. The EMC LLM AI Bot provides tools for various AI-powered creations, from image generation to chatbots.
Is it META enough for the Future?
EMC’s technical architecture includes the Openverse Framework, a set of Web3 DApp development tools built on the EMC protocol. It also features a decentralized marketplace for trading and sharing AI models, and integration with popular machine learning frameworks, making it accessible to both beginners and advanced users.
Aside from efficiently using the idle resources of the idle GPU across the world, it’s also incentivizing the global participation on AI development. It’s also addressing the current lack decentralization on AI applications.
Techy talks about EMC’s Tech Aspect
(1.) AI DePIN, for Decentralization
Using Proof of Computing Power, it’s allowing GPU owners to contribute their resources to the network and earn token rewards. This is a good approach to make use of the idle GPU resources around the world incentivized rather than sitting around doin nothing.
EMC’s AI DePIN is similar to the blockchain-native DePIN project Helium.
(2.) RWA DeFi, introduces Real World Assets
By tokenizing GPU computing power, This will be an innovative approach that enables fractional ownership of high-performance GPU assets, increasing liquidity and lowering the barrier to entry for investors and users alike.
Auditing is crucial to RWAs — any RWA projects avoiding this problem are, in practice, both groundless and worthless.
How, then, does EMC select its computing assets?
- Firstly, to ensure the compliance and effectiveness of RWA assets, only computing power nodes running on the EMC network can apply to issue RWA assets — all computing nodes currently running on the network have already undergone rigorous audits.
- Furthermore, the computing power assets will be packaged into RWAs through smart contracts for sale after being audited by EMC.
For example, suppose a GPU supplier owns 100 idle 4090 GPU devices. By collaborating with EMC, they can price their 4090 GPUs and package them into RWAs for sale on the blockchain. Suppliers can break down GPU computing power into smaller units within the EMC network, allowing users to invest in the distributed AI computing power trading market at a much lower barrier to entry. This not only increases the liquidity of idle GPUs but also enhances global user participation.
(3.) EMC Hub, the Core Main Features
It’s a decentralized AI+Web3 creation platform. It offers an AI model library, developer services, and application deployment tools, enabling creators to build and monetize AI applications. Which is totally different from Huggin Face’s AI model repository where user-generated data still remained in the hands of Hugging face, so aside from paying the app users did not establish a deeper relationship with Hugging Face.
