Sahara AI will launch its Mainnet in Q3 2025, with the protocol architecture and whitelist acquisition method for the testnet exposed.

Sahara AI, an AI project that raised 43 million in financing, recently announced its roadmap for 2025, including the participation method of the testnet and the launch of the Mainnet in the third quarter of 2025. Sahara AI is an EVM compatible high-performance Layer 1 that focuses on decentralization AI platform, aiming to solve the problem of over-centralization of existing AI resources. During the KBW in September, they also invited popular singer Kwon Eunbi, who recently visited Taiwan, and gained a lot of exposure.

Tokenizing AI assets, Sahara creates Decentralization AI

Sahara AI is an EVM Layer 1 blockchain platform that emphasizes Decentralization Artificial Intelligence (AI), aiming to create an open, transparent, and secure AI ecosystem. Its main goal is to democratize the development and application of AI technology and break the monopoly of existing centralized AI platforms. The narrative of the Decentralization AI platform also aligns with Tether's investment outlook, as both aim to address the problem of Web2 giants monopolizing AI resources. Paolo Ardoino, the CEO of Tether, also recently stated that the Tether AI platform will be launched soon.

The core concept of Sahara AI has three:

Fairness and accessibility: Promote the popularization and fair distribution of AI technology, so that it is no longer monopolized by a few, and promote global innovation.

AI Asset: Sahara AI has introduced an innovative framework that allows users to own and manage private AI resources, such as personal data and proprietary models.

Transparency and Traceability: Through blockchain technology, the platform ensures that all records are fully recorded and can clearly trace the contributions of each participant.

The part of sovereignty and traceability is to decentralize the ownership and governance of AI assets, and record every transaction and development process through blockchain to ensure transparency, trust, and traceability. Sahara AI also simplifies the process of data collection, model development, and AI deployment, and uses Sahara Blockchain as a Layer 1 blockchain designed specifically for AI development to achieve AI Utility.

Sahara AI launches a four-layer architecture

Sahara AI platform operates on a four-layer architecture, supporting the complete lifecycle from data management to AI asset trading:

Application Layer: The main user interface that provides users with native built-in applications to create artificial intelligence assets and profit from them.

Transaction Layer: Supported by Sahara Blockchain, it manages the traceability, access control, and transactions related to AI assets.

Data Layer: Integrates data management on and off the chain to achieve seamless data access and storage.

Execution Layer: Provides AI computing infrastructure, dynamically allocates computing resources, ensuring high performance and scalability.

Using Sahara ID as the identification for humans or AIs

Whether it is artificial intelligence entities or human users, both can use the built-in Sahara ID identity management system of Sahara AI. This identity can be used to track contributions or reputation within the ecosystem, and to access artificial intelligence assets.

What is Sahara Agent? A more powerful AI agent.

In addition, Sahara Agent is different from regular AI agents. Regular AI agents usually focus on a single task or function (such as dialogue generation, data analysis, etc.), while Sahara Agent has a complete three-part architecture (brain, sensor, and actuator), supporting operations from perception to decision-making, and then execution. The design of Sahara Agent focuses more on universality and flexibility, suitable for complex and changing application scenarios, while regular AI agents are mostly for specific purposes.

Launch EVM compatible Layer 1, providing a traceable and efficient public chain for AI

Sahara Chain is a Proof of Stake EVM-compatible Layer 1 that uses the Tendermint algorithm to achieve Byzantine fault tolerance consensus. Like the next generation public chain, it has fast block confirmation time, fast average block time, and near-instant finality. At the same time, it maintains extremely low gas fees through batch transaction confirmation and dynamic fee mechanism. The design of Layer 1 also leaves room for future potential expansion plans (such as Layer 2).

As a reference, the current highest circulating market value of AI-related blockchain NEAR is up to 12.7 billion.

Remember to register for the waiting list for the Mainnet launch in Q3 2025.

Now let's take a look at the roadmap section:

The testnet for the first quarter is now live. You can register for the whitelist of the second quarter to participate in the next testnet. Participants in the first quarter are rewarded for collecting, refining, and labeling datasets. Sahara AI is also committed to being user-friendly, ensuring that the rewards for participants and developers are not too disparate.

In the first quarter of 2025, Sahara AI Marketplace will go online. As a peer-to-peer trading center, developers can access, deploy AI data, models, etc. Everything is completely transparent and traceable on the chain.

The Sahara Studio will be launched in the second quarter of 2025. This is a comprehensive tool for simplifying AI development:

Model training toolkit: fine-tune the accuracy and performance of the model.

Model deployment toolkit: large-scale and efficient deployment of artificial intelligence models.

Model Arrangement Tool Kit: Instantly improve and manage workflows across multiple models.

In the third quarter of 2025, Sahara Mainnet went live, with officials stating that everyone, from individual developers to startups and large enterprises, will benefit from secure, transparent models and data sources, trusted transactions, and new opportunities for monetizing AI assets from datasets to models.

This article Sahara AI will be launched on Mainnet in the third quarter of 2025, and the protocol architecture and white list acquisition method for the test network are exposed. It first appeared on Chain News ABMedia.