Sahara AI Opens User Access To AI Studio, Streamlining AI Development Lifecycle
In Brief
Sahara AI has opened user access to AI Studio, a platform designed to streamline and integrate the AI development process as part of the next phase of its testnet.
Decentralized artificial intelligence blockchain platform Sahara AI announced the launch of user access to AI Studio—a comprehensive solution designed to simplify and integrate the AI development process. This marks the next stage in its testnet expansion.
AI Studio unifies the entire AI development lifecycle, covering everything from dataset access and model training to secure storage and scalable computing. Through an integrated marketplace, users can obtain high-quality, domain-specific, open-source, and proprietary datasets. The platform enables developers to download, import, and label datasets efficiently, facilitating model training, fine-tuning, and retrieval-augmented generation (RAG) pipeline deployment. Secure upload options and seamless workflow integration further enhance usability.
In addition, AI Studio offers a curated selection of open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can quickly deploy models while ensuring privacy and security through Sahara Vaults, which provide a protected environment for AI assets.
The platform also grants access to scalable, secure computing resources optimized for various AI workloads. Built-in Trusted Execution Environment (TEE) capabilities safeguard data privacy, while integration with leading compute providers offers flexibility. Users can securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults ensure scalability, reproducibility, and user control over AI resources.
Access to AI Studio is being rolled out in phases, with a limited number of early access spots available. Interested developers must complete a designated application form provided in the official announcement.
Sahara AI Initiates Second Phase Of Its Testnet
Sahara AI is a decentralized blockchain platform designed to make AI more accessible to both individuals and businesses. By leveraging decentralized technologies, it seeks to democratize AI development, ensuring fairness, transparency, and privacy protection. The platform incorporates decentralized ownership and governance mechanisms, allowing contributors to receive appropriate recognition and rewards for their participation.
According to its roadmap, the mainnet for Sahara Chain is scheduled to launch in the first quarter of 2025, enabling the deployment and operation of decentralized AI applications. By the second quarter of 2025, Sahara agents—intelligent AI-driven entities—will be introduced. These agents will be capable of executing complex tasks and making decisions using decentralized data powered by advanced AI capabilities.
In December 2024, the project launched the initial phase of its testnet with the introduction of the Data Services Platform. This phase allows participants to earn rewards by contributing to essential AI development tasks, such as collecting, refining, and labeling datasets—key processes that improve AI model accuracy and performance.
Recently, Sahara AI announced the launch of Season 2. This phase expands the platform’s contributor base and introduces additional reward opportunities, enabling participants to play a more active role in shaping the future of decentralized AI.
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About The Author
Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
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Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
