Reso Network: A blockchain execution engine tailored for AI applications
Note: This article is a contribution and does not represent the views of ChainCatcher, nor does it constitute investment advice, please be cautious.
Reso is a one-stop infrastructure platform built for "decentralized AI", enabling AI development, training, deployment, and invocation to be efficiently and collaboratively completed in a decentralized manner without trust and privacy protection. Whether you are a data owner, model builder, or developer of AI applications, you can create and promote the entire AI ecosystem based on Reso to achieve more secure, multi-task parallel, and modular workflow management.
With the rapid development of AI technology, we are becoming more familiar with chatbots, intelligent assistants, and automated analytics systems. But have you ever wondered what challenges these powerful AI applications will face if they are connected to the Web3 world?
The answer is: traditional blockchains can't run AI.
Why is it so hard for Web3 to accommodate AI?
Blockchain systems like Ethereum weren't designed for AI. It's like a "shared computer" that can only process things step by step:
- each transaction can only run for a short time;
- Each block can carry a limited amount of computation and data;
- Complex AI models take a long time, have many steps, and are highly interactive, and they simply can't fit into a transaction.
As a result, to run AI applications on-chain, developers have to break down a complete process into dozens or hundreds of steps, and rely on off-chain services to repeatedly trigger transactions, which is not only troublesome, but also insecure.
Reso Network: A blockchain execution engine tailored for AI applications
, the requirements for computing resources and execution processes far exceed the carrying capacity of existing blockchains. The birth of Reso is not to "hard-shoe-screw AI" on the traditional blockchain, but to redesign an execution platform that is more suitable for AI from the bottom. Its key core is a preemptive execution engine.
The preemptive execution engine allows a long-process task (such as model inference and data analysis) to be executed in segments on the blockchain by "pause-save-resume", just like the operating system scheduling applications in the background.
Let's take an analogy:
- the traditional blockchain is like a brother who can only process one express order at a time, and the AI application is a large order that needs to run all over the city.
- Reso's preemptive execution engine is like an intelligent logistics system equipped with a transit warehouse, which can set up checkpoints at each "intersection", temporarily store tasks, and wait for the right time to continue executing.
- All intermediate states (data, progress) are stored by the "semi-persistent storage" on the chain and are automatically cleared, which not only saves resources, but also ensures security.
On traditional blockchains, transactions are instantaneous and must be completed once they are started or fail. But AI applications aren't button-based—they're like a process, a task, or even a conversation—it waits, decides, interacts, and continues.
Reso's real breakthrough lies in managing tasks as a "long-term process", just like an operating system management daemon, which can be suspended, woken up, and tracked at any time, rather than running and terminating all at once like ordinary transactions.
What Reso does is to make such "process-based tasks" atomically controlled on the chain, safely interrupted and resumed, and achieve fine-grained scheduling like an operating system. For the first time, Reso has given blockchains the ability to "run AI workflows."
Reso makes Web3 AI take a real step
, and the current mainstream path of the so-called "AI on-chain" is to simply encapsulate existing AI models or services into Web3 applications, supplemented by token incentives or smart contract call interfaces. This approach seems to be quick, but in fact, it is a thirst-quenching solution, and it cannot solve the problem of incompatibility between blockchain and AI in architecture and logic.
Instead of putting AI on the chain, Reso redefines how blockchains should natively support AI. We don't act as a task broker, or just call a model or build a functional module, but comprehensively rewrite the underlying operation logic from the execution engine, storage structure, and task flow scheduling to create a truly "running" chain infrastructure for AI.
What does this mean for Web3?
- When building AI projects, you don't need to worry about the underlying limitations and complicated infrastructure of the blockchain, Reso provides a one-stop technology stack;
- You can focus on polishing your business logic and use your efforts on models and product experiences;
- Everything runs on-chain, securely and transparently, without relying on centralized giants to provide services or computing power.
Reso's execution architecture has achieved a key breakthrough, making it the first blockchain platform capable of hosting a complete AI workflow, truly integrating training, deployment, inference, and collaboration on-chain. Complex intelligent applications can also be native to the chain, safe, efficient, and without relying on centralized tools. Reso is no longer just "invoking AI", but truly "carrying AI".