Sahara AI Announces the Launch of Public Testnet SIWA in April

With the announcement of the launch time for Sahara AI's new testnet SIWA, the project has finally stepped into the spotlight.

Let's break down the core logic of Sahara AI, its development milestones, and why the SIWA public testnet deserves attention.

Quick Understanding of Sahara AI

In a nutshell: Sahara AI is an operating system for building a privacy - protected AI network!

It provides a comprehensive infrastructure for collaboration around "data + model + computing power," focusing on solving the following three major issues:

1. Privacy Paradox in AI Computing

Traditional AI relies on massive amounts of data, but high - quality data often involves privacy concerns. In particular, in real - world enterprise - level applications, data providers simply cannot trust centralized platforms to handle this information. Sahara uses privacy - computing technologies such as Fully Homomorphic Encryption (FHE) to achieve "data availability without visibility." This allows models to run on encrypted data, with the entire process being tamper - proof and non - snoopable.

1. Monopoly in AI Services

Through its decentralized network and development suite (such as Sahara Studio), Sahara empowers developers to create a decentralized AI developer's paradise. This eliminates the current mainstream AI monopoly problem!

1. Silent Value of Data Contributors

Your data is a source of value, but you have never benefited from it. Sahara allows data owners to earn incentives through secure data sharing and labeling, achieving data assetization and activating the dormant value of data.

Who Will Benefit from the Public Testnet SIWA?

The launch of Sahara AI's public testnet SIWA is not only one of the most critical milestones before the mainnet goes live but also brings direct benefits on multiple levels.

Let's break down these significant benefits from five dimensions: users, ecosystem, and future mainnet value capture.

I. User Benefits: Direct Participation, Task Rewards, and Airdrop Expectations

1. Early Participation in Ecosystem Interaction

The public test of SIWA means that all participants can directly experience Sahara's core functions: creating agents, uploading data, and participating in training processes.

1. Task Incentive Mechanism Activated

Based on previous testnet situations, Sahara provides incentive points or token mappings for users who participate in data labeling, model invocation, and task interactions.

1. Increased Airdrop Expectations

The public test launch is usually an important stage before TGE (token generation event). Early participants are highly likely to gain future token airdrop qualifications.

II. Ecosystem Expansion Benefits: Facilitating Data Inflow, Collaboration, and Scenario Testing

1. Guiding Real - World Data Inflow

After the launch of SIWA, Sahara can collect encrypted data from users, including medical, financial, and behavioral data, for AI training. This breaks the dilemma of "no data, no AI."

1. Opening Up for Collaboration

AI projects, Web3 games, DeFi protocols, and others can use SIWA to integrate with the Sahara network, testing data privacy APIs and agent services.

1. Quick Scenario Compatibility Testing

SIWA provides a sandbox where partners can test their data flows or AI service integration capabilities risk - free, facilitating seamless migration when the mainnet goes live.

III. Mainnet Benefits: Verifying Security and Economic Mechanisms, Accumulating Cold - Start Resources

1. Early Verification of On - Chain AI Computing Stability and Performance

The public test phase will verify the stability of model invocation and data encryption computing, exposing potential issues in advance to enhance the mainnet's stability.

1. Accumulating Cold - Start Resources

The SIWA phase will accumulate the first batch of data assets, agent models, and developer applications, providing an "instantly prosperous" ecosystem foundation for the mainnet.

1. Reinforcing the "Mainnet Assetization" Expectation

SIWA is the core bridge before the Sahara Chain mainnet goes live. Once models and data are assetized on the testnet and form trading prototypes, it will directly benefit the future mainnet's token value support.

Sahara Development Roadmap

Product Development Timeline

• 2024 Q4: Testnet & Data Labeling Platform Launched

• 2025 Q1: AI Marketplace Launched

• 2025 Q2: Development Suite Sahara Studio Launched

• 2025 Q3: Mainnet Sahara Released, Achieving Full Assetization and Incentive Mechanism Closure

Top - Tier Capital Endorsement

• Raised over $50 million in funding, led by Binance Labs and co - invested by OKX, Animoca, HashKey, and other capital firms. The testnet SIWA will be open to the public in April 2025, with the potential for real - user growth.

In Conclusion

In the Web3 world, the most valuable projects are not those that create buzz for traffic but those that build real - world economic closed - loops and serve developers and user bases as protocol - based infrastructure.

One thing we cannot deny is that AI will be an indispensable part of human life in the future.

What Sahara is building is not a new "model" but a new "order" – one that ensures data is treated with dignity, AI is trustworthy, and value is no longer silent.

In the coming years, when AI becomes an assistant for all decision - making, Sahara may be the underlying protocol that guarantees "privacy, fairness, and freedom."