Swan Chain, The First EVM Compatible AI Computing Chain

Swan Chain is the first AI computing chain built on OP Stack, a layer 2 scaling solution for Ethereum. In this article, we will discuss how Swan Chain leverages the advantages of OP Stack to offer a superior platform for AI developers and users, and showcase a use case of Lagrange, a Web3 version of Hugging Face, a popular natural language processing (NLP) library.

What Advantages Does the OP Stack Bring to Swan Chain?

OP Stack is an open-source development stack for Optimism, a system for creating and running L2 blockchains that can interoperate within the Superchain ecosystem. OP Stack consists of software components that define or support different layers of the Optimism ecosystem, from the OP Mainnet and Superchain governance to the tools and applications built on top of them.

Learn more about OP Stack: Getting Started with the OP Stack

Swan Chain inherits the benefits of OP Stack, such as:

  • Low gas fee: Swan Chain reduces the gas fee by up to 90% compared to Ethereum, making it affordable for AI developers and users to deploy and run their applications.
  • High throughput: Swan Chain achieves a high transaction per second (TPS) rate of up to 1024 per lock, thanks to the parallel processing and batching of transactions on OP Stack.
  • Fast block time: Swan Chain has a fast block time of 2 seconds, which enables near-instant confirmation and finality of transactions.
  • EVM compatibility: Swan Chain is fully compatible with the Ethereum Virtual Machine (EVM), which means that any smart contract or dApp written for Ethereum can be easily ported to Swan Chain without any modification.

How Swan Chain Reformat The Decentralized AI Computing Using OP Stack?

Swan Chain is set to revolutionize decentralized AI computing by leveraging OP Stack and integrating DePIN model for enhanced cross-chain connectivity and resource optimization. It offers a complete solution for web3 developers to integrate decentralized storage, edge computing, and payment across multiple chains with ease.

Swan Chain introduces two key innovations that differentiate it from other AI platforms:

1. AI Computing Global Resource Access

Utilizing DePIN, Swan Chain enables AI developers to access a global network of computing resources, such as VCPU, GPU, Storage, and Memory, through the Swan Orchestrator, a decentralized computing orchestrator that connects and coordinates the supply and demand of AI computing power.

Swan Orchestrator connects and coordinates computing resources globally

Swan Orchestrator uses a novel AI container auction engine to match the best computing resource for each AI task, based on the price, performance, and availability. Swan Orchestrator also ensures the security and privacy of the AI data and code, by encrypting and sharding them before sending them to the edge data centers.

2. AI Provide Base Income Model

Swan Chain enables AI users to earn a base income by contributing their idle computing resources to the Swan Chain network, through the zk-UBI model. zk-UBI is a revolutionary model that allocates computational tasks based on various zero-knowledge proof systems, and aims to provide a basic level of compensation to qualified Computing Providers within the Swan decentralized computing ecosystem.

Learn more about ZK-UBI: “Swan zk-UBI: Building a Decentralized ZKPs Computing Market with Filecoin Integration

A Use Case: Lagrange — Web3 Version of Hugging Face

Hugging Face is a popular NLP library that provides state-of-the-art models and datasets for various NLP tasks, such as text classification, sentiment analysis, question answering, and natural language generation. Hugging Face is widely used by researchers and developers to build and deploy NLP applications on the web. However, Hugging Face relies on centralized cloud services, such as Amazon Web Services (AWS), to store and process the NLP data and models, which poses several challenges, such as high costs, low efficiency, and lack of privacy.

Lagrange is a Web3 version of Hugging Face, built on Swan Chain, that aims to overcome these challenges and offer a better alternative for NLP development and deployment.

Learn more about Lagrange in its documentation.

Lagrange leverages the advantages of Swan Chain, such as:

  • 70% cheaper than AWS: Lagrange reduces the cost of NLP development and deployment by 70% compared to AWS, by using the decentralized computing network of Swan Chain, which offers lower and more stable prices than the centralized cloud services.
  • Decentralized storage of the code and data: Lagrange ensures the security and privacy of the NLP code and data, by storing them on the decentralized storage network of Swan Chain, which uses encryption and sharding techniques to protect them from unauthorized access and manipulation.
  • Cross-chain interoperability: Lagrange enables the integration and interaction of the NLP applications and services with other blockchains and platforms, such as Ethereum, IPFS, and Filecoin, by using the cross-chain bridge of Swan Chain, which allows for the seamless transfer of assets and data across different chains.
Stable Diffusion Space on Lagrange

Now, Lagrange offers many advanced AI models like Stable Diffusion, Music Generation, and Text-to-Speech. Users can not only experience these models but also build and deploy them on the web, without relying on the centralized and expensive cloud services.

Learn more: “How to Build Stable Diffusion Space

Conclusion

In this article, we have introduced Swan Chain, the first AI computing chain using the OP Stack. Swan Chain leverages the advantages of OP Stack and DePIN model to develop some innovative features to provide a fast and efficient layer 2 for AI computing.

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