Since the advent of the internet era, the acquisition and utilization of data in daily life have experienced explosive growth. Particularly in the last two years, the leaps and bounds in Artificial Intelligence (AI) technology have provided a data foundation for AI’s autonomous learning and model training.

Data indicates that since 2012, the computational power used in the largest AI training runs has grown exponentially, doubling every 3.5 months. Moreover, this metric has grown by over 300,000 times since 2012. It is projected that by 2030, the average annual growth will exceed 34%, reaching 0.2 ZetaFLOPs.

In simple terms, computational power in the digital world has become the foundation of value, originating initially from Bitcoin. Bitcoin introduced a unique data processing process called mining. By solving complex mathematical problems to verify the validity of transactions on the blockchain, a mining machine’s computational power is represented by how many hash collisions it can perform per second, earning Bitcoin rewards for miners. This decentralized characteristic attracted a large number of investors and researchers.

Currently, the continuous emergence of new technologies such as Artificial Intelligence, blockchain, and cloud computing is reshaping our lives and economic systems. The advent of ChatGPT signifies that Artificial Intelligence has crossed a turning point, marking the moment when the intelligence of an AI system reaches the level of human intelligence. AI has demonstrated powerful capabilities in various fields, such as speech recognition, image recognition, and natural language processing. The rapid development of AI will further drive the establishment of a computational power-centric economic system because only powerful computational power can support the operation and learning of AI systems. Combining Web3 blockchain technology with AI computational power will significantly improve the efficiency and security stability of computational power utilization, representing a major direction in the development of computational power economics.

In this vast market environment, EMC has emerged with the mission to serve as green infrastructure, connecting distributed computational power with decentralized applications.

What is EMC?

EMC, short for EdgeMatrix Computing, is a blockchain project that provides a high-performance decentralized AI computing power application network. It stands as the representative project of AI Computing Power DePIN+RWA. The unique value of EMC lies in being the only entity in the web3 domain that seamlessly integrates GPU computing power assets and AI applications, providing them at low cost and convenience to ordinary developers and users. Through an innovative dual-deflation economic model, EMC maximizes value creation for distributed computing power providers, AI developers, and AI users. This brings about a new momentum for explosive growth in the web3 user base in the AI era.

EMC’s vision is to eliminate the digital divide and centralization monopoly through decentralized computing power. The network ecosystem is divided into four layers from bottom to top: the Protocol Layer, Network Layer, Application Layer, and Asset Layer.

Protocol Layer: EMC Protocol is an edge computing protocol based on blockchain and peer-to-peer networks. The protocol encompasses smart contracts, distributed computing power, and consensus mechanisms for verifying transactions. Its purpose is to connect various servers and personal computers into a decentralized computing power network. Currently, within the EMC protocol, a method of implementing transactions with Arbitrum involves using smart contracts to submit state machines for validation and confirmation on the Arbitrum One main chain.

Network Layer: EMC Network aggregates global idle computing power by constructing a decentralized computing power network. By integrating computing power and applications from different sources, it enables exchange and collaboration on a unified platform. This infrastructure connects decentralized computing power and DApps, offering users more flexible, reliable, and efficient computing resources.

Application Layer: EMC Hub is an innovative platform that integrates a GPU computing power trading market, an AI model aggregation market, and an AI application store. This platform efficiently connects decentralized GPU computing power networks, AI developers, and AI users, forming a closed loop in the AI value chain. EMC Hub significantly reduces entry costs and usage barriers for AI developers and users, integrating computing power and models to reduce time and financial costs for developing or training models by 80%. EMC Hub makes the creator economy possible, injecting vitality and momentum into the future AI ecosystem through the listing and trading of two new assets: computational power RWA-NFT and AI model-NFT, marking the first time AI-related assets are on-chain and monetizable.

Asset Layer: RWA DeFi shapes the computational power of EMC nodes and future revenue into digital assets, providing better liquidity for the entire ecosystem. It also offers more flexible and efficient financial tools for computational power providers, such as computational power pledging and borrowing, crowdfunding, and collaborative node building.

Additionally, EMC introduces EMC DAO and the token $EMC as integral parts of the EMC ecosystem. EMC DAO community members can influence the development direction and decisions of the EMC ecosystem through voting and proposals. The $EMC token is deployed on the Arbitrum One chain, with a total supply of 1 billion. Holding $EMC allows participation in EMC DAO community governance and voting.

Furthermore, $EMC serves as an asset voucher for rewards, transactions, investments, and pledges within the EMC ecosystem. It employs a dual-deflation token model, including consumption deflation and revenue deflation. Consumption deflation occurs when $EMC is consumed in the EMC Hub application market, leading to the simultaneous destruction of the corresponding $EMC. Revenue deflation involves converting transaction fees from RWA into $EMC for destruction.

Highlights of EMC

Decentralized Computing Power Market:

Built on the underlying EMC Protocol, EMC provides a vast computing power market. Users can access the computing power socket of the EMC network, searching for suitable computing power or applications in this decentralized market. The market operates on smart contracts and cryptocurrency, ensuring secure and rapid payments and settlements.

Additionally, EMC Protocol introduces innovative features such as smart routing and data caching to optimize the utilization of computing resources and network efficiency.

EMC employs advanced encryption technology and security mechanisms to ensure the protection of user data and transaction information.

Node Types:

EMC comprises three types of nodes: Validation Nodes, Smart Routing Nodes, and Computing Power Nodes.

• Validation Nodes: Responsible for sending computing power proofs and reaching consensus. The initial total number of validation nodes is 13, with additional nodes added in batches to ensure 2/3 consensus for Istanbul Byzantine Fault Tolerance (Istanbul BFT). Community members can apply to become validation nodes when needed.

• Smart Routing Nodes: Tasked with allocating and scheduling computing power tasks. Any community member can apply to become a smart routing node at any time.

• Computing Power Nodes: Contribute computing power to complete tasks. Any community member can apply to become a computing power node at any time.

Computing Power Sockets

Computing power sockets transform computing resources into digital assets, each assigned a unique identifier, essentially an NFT (Non-Fungible Token). End-users can purchase these NFTs to access corresponding computing power resources. These NFTs can be sold or exchanged, offering a convenient way to obtain the required computing power.

EMC’s smart routing algorithm efficiently allocates computing tasks and schedules idle computing power resources, significantly reducing computing power costs for users.

For instance, a computing power socket may be configured to support image generation tasks based on Stable Diffusion, while another socket may be configured for natural language processing tasks based on PyTorch. When a computing power node uses its socket to perform a task, smart contracts ensure the node receives appropriate rewards, paid upon task completion. This configuration allows computing power nodes to optimize based on their computing capabilities and the application’s requirements, providing more efficient and reliable computing resources for AI applications.

The computing power marketplace operates using smart contract technology, automating the computing power transaction process to ensure transparency, fairness, and trustworthiness. Each transaction is recorded on the blockchain, ensuring immutable and traceable transaction records. Computing power nodes can leverage idle computing power for additional income while effectively managing their computing resources. Users can conveniently access the required computing power resources without the need for extensive time and effort to find suitable resources.

These EMC highlights showcase its commitment to providing a decentralized, efficient, and secure environment for users to access and utilize computing power resources.

Openverse Framework

The Openverse Framework is a web3 DApp development framework built on the EMC Protocol. It offers a comprehensive set of Software Development Kits (SDKs) and APIs to assist developers in creating, deploying, and managing applications more efficiently. This framework facilitates an easy transition for web2 developers to build web3 AI projects. Developers can use the Openverse Framework to create engaging DApps deployed directly on the EMC network, resulting in an 80% reduction in costs compared to traditional cloud services.

Several AI applications are already or will soon be available on EMC, including ChatBox, KSANA, AxiDraw, Fox Renderfarm, Totle Protocol, IvySCI, Moonlight City, StoryCinema, and Lantern Academy.

EMC Hub

As the application layer of EMC, EMC Hub serves as an integrated platform for artists and designers, providing them with the necessary tools and resources to train, optimize, and deploy their AI models. It supports various popular machine learning frameworks and libraries, making it accessible to both beginners and advanced users. EMC Hub also functions as an AI model marketplace, allowing creators to list their trained models for others to use or fine-tune based on specific needs.

Within EMC Hub, AI models can efficiently trade, share, and leverage through decentralized exchanges and secondary markets, fostering collaboration and innovation. This promotes collaboration and knowledge sharing within the creative community, enabling artists to monetize their models and establish an AI-driven ecosystem of artistic tools. With EMC Hub, the creation, sharing, and utilization of AI models undergo fundamental changes, unlocking new possibilities and driving innovation in the field of artificial intelligence.

EMC Data Security and Privacy Protection

The EMC network prioritizes the importance of data security and privacy protection throughout its construction, employing multiple security mechanisms to ensure effective protection of user data and meet high standards for data security.

EMC utilizes advanced encryption technologies to safeguard data during transmission and storage. From data entry to storage and usage, effective encryption is applied, reducing the risk of malicious attacks and data theft. EMC not only focuses on data security but also emphasizes user privacy protection. Personal information and sensitive data undergo encryption processes, and only users possess the decryption keys, ensuring the privacy of user data is not misused or compromised.

Value of EMC in the Digital World

Meeting the Needs of the Digital World

EMC addresses the demands of the digital world by establishing an edge computing protocol based on blockchain and peer-to-peer networks. This protocol caters to the digital world’s requirements for data processing and low latency, providing robust computing support for artificial intelligence systems. This aids in enhancing data processing efficiency, supporting a broader range of AI applications. Utilizing blockchain technology allows the secure allocation of AI tasks and data to decentralized network nodes, resulting in more efficient AI computation and secure data transmission.

A New Stage in Computational Economics

EMC integrates global idle computational power, constructing a decentralized computational network. This computational economic model not only offers users flexible, reliable, and efficient computational resources but also enhances the efficiency of the entire network by incentivizing the scheduling of decentralized computational nodes. This model provides new avenues for profit and participation for computational power providers, further propelling the development of computational economics.

Providing Secure and Reliable Decentralized Computational Power

Built on blockchain and peer-to-peer networks, the EMC Protocol offers features such as smart contracts, decentralized storage, and consensus mechanisms, providing a more secure and transparent foundation for its ecosystem. This comprehensive application helps address privacy and security challenges faced by the current digital world, offering businesses and individuals more efficient and secure AI services and bringing additional commercial and societal value.

Serving Various AI Enterprises

In EMC Hub and the AI model community, AI entrepreneurs and developers can find a range of AI models tailored for image, audio, text generation, and potential future AI capabilities. AI developers or community members can contribute pre-trained AI models to the community, earning EMC Hub developer rewards. Additionally, they can package well-trained models into model NFTs and generate income through NFT transactions in the model marketplace. Throughout the development cycle, EMC will provide a plethora of development tools to assist developers, from NFT issuance tools to DApp frameworks, DApp deployment platforms, and project bounty systems. EMC enables AI developers to efficiently commercialize their efforts.

Building a Comprehensive AI Ecosystem

EMC’s overarching goal is to establish a comprehensive AI ecosystem with a decentralized computational network as its cornerstone. EMC Hub serves as the core for model aggregation and developer collaboration, and EMC’s AI developer ecosystem is a key factor driving EMC’s computational demand. By interconnecting the entire business cycle through the Web3 economic system, this synergy enables community members to efficiently participate, share insights, collaborate, and seamlessly complete AI model training, promoting transparent and efficient value exchange within the ecosystem.

After months of effort, EMC has made significant strides in integrating artificial intelligence computational power and applications. It has successfully integrated AI computational power, including various GPUs such as 3080, 3090, A100, H100, through RWA. EMC has participated in or collaborated on various AI application training or inference, such as AI games, AI research, AI education, AI videos, digital avatars, and the metaverse.