Reso Network: A Blockchain Execution Engine Tailored for AI Applications
With the rapid development of AI technology, we are becoming increasingly familiar with chatbots, smart assistants, and automated analysis systems. But have you ever thought about what challenges these powerful AI applications would face if they were integrated into the Web3 world?Note: This article is a submission and does not represent the views of ChainCatcher, nor does it constitute investment advice. Please approach it with caution.
Reso is a one-stop foundational platform specifically designed for "decentralized AI," enabling the development, training, deployment, and invocation of AI to be efficiently coordinated in a decentralized manner without the need for trust and while protecting privacy. Whether you are a data owner, a model builder, or a developer of AI applications, you can create and advance the entire AI ecosystem based on Reso, achieving safer, multi-task parallel, and modular workflow management.
With the rapid development of AI technology, we are becoming increasingly familiar with chatbots, intelligent assistants, and automated analysis systems. But have you ever considered what challenges these powerful AI applications would face if they were integrated into the Web3 world?
The answer is: Traditional blockchains cannot support AI.
Why is it difficult for Web3 to accommodate AI?
Blockchain systems like Ethereum were not designed with AI in mind from the outset. They function like a "shared computer" that can only process tasks incrementally:
- Each transaction can only run for a very short time;
- Each block has a limited capacity for computation and data;
- Complex AI models require long run times, numerous steps, and strong interactivity, which cannot fit into a single transaction.
Thus, to run AI applications on-chain, developers have to break down a complete process into dozens or even hundreds of steps, relying on off-chain services to repeatedly trigger transactions, which is not only cumbersome but also insecure.
Reso Network: A blockchain execution engine tailored for AI applications
The computational resource and execution process requirements of AI applications far exceed the capacity of existing blockchains. Reso was born not by "forcing AI" onto traditional blockchains, but by redesigning a more suitable execution platform for AI from the ground up. Its key core is: preemptive execution engine.
The preemptive execution engine allows a long process task (such as model inference or data analysis) to be executed in segments on the blockchain, enabling it to be "paused-saved-resumed," much like how an operating system intelligently schedules applications in the background.
Let's use an analogy:
- Traditional blockchains are like a delivery person who can only handle one package at a time, while AI applications are large orders that need to traverse the entire city.
- Reso's preemptive execution engine is like an intelligent logistics system equipped with transfer warehouses, allowing checkpoints to be set at every "intersection" to temporarily store tasks, waiting for the right moment to continue execution.
- All intermediate states (data, progress) are saved by the blockchain's "semi-persistent storage," which is automatically cleared, saving resources and ensuring security.
On traditional blockchains, transactions are instantaneous; once started, they must be completed in one go, or they fail. However, AI applications are not button-like; they resemble a process, a task, or even a conversation—requiring waiting, decision-making, interaction, and then continuation.
Reso's true breakthrough lies in managing tasks as "long-term processes," similar to how an operating system manages background programs, allowing them to be suspended, awakened, and tracked for status, rather than completing and terminating like ordinary transactions.
What Reso does is enable these "process-type tasks" to be atomically controlled on-chain, safely interrupted and continued, achieving fine-grained scheduling akin to an operating system. Reso has given blockchains the capability to "run AI workflows" for the first time.
Reso takes a real step forward for Web3 AI
The current mainstream approach to "AI on-chain" is to simply wrap existing AI models or services as Web3 applications, supplemented by token incentives or smart contract calling interfaces. This approach may seem quick, but it is ultimately a stopgap that fails to address the fundamental incompatibility between blockchain and AI in terms of architecture and logic.
Reso does not cleverly force AI onto the chain; instead, it redefines how blockchains should natively support AI. We do not act as task agents, nor do we merely call a model or build a specific functional module; rather, we have comprehensively rewritten the underlying operational logic from the execution engine, storage structure, to task flow scheduling, creating a truly "operable" chain infrastructure for AI.
What does this mean for Web3?
- When building AI projects, you do not need to worry about the underlying limitations of blockchain and complex foundational setups; Reso provides a one-stop technology stack.
- You can focus on refining your business logic and invest your efforts in models and product experiences.
- Everything runs on-chain, safely and transparently, without relying on centralized giants for services or computing power.
Reso's execution architecture has achieved a critical breakthrough, making it the first blockchain platform capable of supporting a complete AI workflow, truly integrating training, deployment, inference, and collaboration on-chain. This allows complex intelligent applications to natively operate on-chain, safely, efficiently, and without reliance on centralized tools. Reso is no longer just "calling AI," but truly "carrying AI."
