Reso Network: A blockchain execution engine tailored for AI applications

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Reso is a one-stop basic platform specially designed for "decentralized AI", which enables the development, training, deployment and call of AI to be efficiently coordinated in a decentralized way without trust and privacy protection. Whether it is a data owner, model builder, or AI application developers, they can create and promote the entire AI ecosystem based on Reso to achieve safer, multi-task parallel and modular workflow management.

With the rapid development of AI technology, we are becoming more and more familiar with chatbots, intelligent assistants and automated analysis systems. But have you ever wondered what challenges these powerful AI applications will encounter if they are connected to the Web3 world?

The answer is: traditional blockchain cannot run AI.

Why is it difficult for Web3 to accommodate AI?

Blockchain systems like Ethereum were not designed for AI at the beginning. It's like a "shared computer" that can only handle things step by step:

• Each transaction can only run for a short time;
• The amount of computation and data that each block can carry is limited;
• The complex AI model has a long running time, many steps and strong interactiveness, and cannot be inserted into a single transaction at all.

Therefore, in order to run AI applications on the chain, developers have to break 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 unsafe.

Reso Network: A blockchain execution engine tailored for AI applications

The requirements for computing resources and execution processes by AI applications far exceed the carrying capacity of existing blockchains. The birth of Reso is not to "hard-pull AI" on traditional blockchains, 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-recovery", just as intelligent as the operating system schedules applications in the background.

Let's give an example:

• Traditional blockchain is like a guy who can only process one courier order at a time, and AI applications are a big order that needs to travel all over the city.
• Reso's preemptive execution engine is like an intelligent logistics system equipped with a transit warehouse. It can set up checkpoints at each section of "intersection", temporarily store tasks, and wait for the right time to continue execution.
• All intermediate states (data, progress) are saved 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 in one go once they start, otherwise they will fail. But AI applications are not button-like, they are like a process, a task, or even a conversation - they need to wait, make decisions, interact, and continue.

Reso's real breakthrough lies in managing tasks as "long-term processes", just like an operating system management background program, which can be suspended, awakened, and tracked at any time, rather than running and terminating them at once like ordinary transactions.

What Reso does is to enable such "process-based tasks" to be atomically controlled on the chain, safely interrupted and then continued, achieving fine scheduling like an operating system. Reso gives blockchain the ability to "run AI workflow" for the first time.

Reso takes a real step towards Web3 AI

The current mainstream path of "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 quick, but in fact it can only help quench thirst and cannot solve the incompatibility between blockchain and AI in architecture and logic from the root.

Reso does not take AI into the chain, but instead redefines it: how blockchain should natively support AI. We do not act as a task agent, nor do we not only call a model or build a functional module, but we have completely rewrite the underlying operation logic from the execution engine, storage structure to task flow scheduling, and tailor a chain infrastructure that can truly "run" for AI.

What does this mean for Web3?

• When building an AI project, you don’t have to worry about the underlying limitations and complicated basic settings of blockchain. Reso provides a one-stop technology stack;
• You can focus on polishing your business logic and put your skills into models and product experiences;
• Everything runs on the chain, safe and transparent, and does not need to rely on centralized giants to provide services or computing power.

Reso's execution architecture has achieved a key breakthrough, making it the first blockchain platform that can carry complete AI workflows, truly integrating training, deployment, reasoning and collaboratively onto the chain. Let complex intelligent applications be native to the chain, safe, efficient, and require no dependence on centralized tools. Reso is no longer just " calling AI" , but truly " carrying AI".