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NBTC News
Home»Blockchain»Sahara Labs Unveils Data Services Planform to Revolutionize AI Training
Blockchain

Sahara Labs Unveils Data Services Planform to Revolutionize AI Training

NBTCBy NBTC26/07/2025No Comments2 Mins Read
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Sahara Labs, a popular AI-native L1 blockchain infrastructure entity, has recently launched Data Services Platform (DSP). The purpose of launching the Data Services Platform (DSP) is to bolster the training of cutting-edge AI models. Sahara Labs views this endeavor as a significant step toward democratizing access to AI-driven data finance. The development paves the way for relatively sustainable and equitable AI advancement.

Sahara Labs Introduces Data Services Platform (DSP) with $450,000 Allocated in Rewards

Sahara Labs’ launch of Data Services Platform (DSP) permits everyone to make money for their contribution to the cutting-edge artificial intelligence (AI) model training. The project is commencing today with the allocation of rewards equaling $450,000. Sahara’s DSP is unique as it utilizes a collaborative reward mechanism.

This mechanism is developed in collaboration with MIA, xFractal, IO.net, Solo AI, Camp Network, apart from other AI-centered organizations. Hence, this broader collaboration lets contributors earn massive rewards for accomplishing their tasks to directly back the creation of influential AI solutions. Simultaneously, apart from the initial $450,000 specified for the 1st day, Sahara Labs also plans a continuous reward and task stream.

Successful Testnet Phase Shows DSP’s Significant Potential to Reform AI Model Training

Additionally, Sahara DSP also permits contributors to leverage rapid payments as well as perpetual royalties coming from the datasets that they assist in creating. The respective royalty-based model guarantees that individuals keep benefiting from their contributions because they are recurrently utilized to improve artificial intelligence (AI) systems. Having already proven viability of the platform at scale, its testnet phase witnessed the generation of 8M data points, leading to a huge accuracy extent of more than 92%.

According to Sahara Labs, DSP’s successful testnet trial displays its potential to deliver high-quality data to boost AI training, apart from maintaining efficiency and scalability. The customer portfolio of Sahara Labs takes into account MIT, Google Cloud, Amazon, and Microsoft, signifying the rising trust from key tech players. Moreover, with its revolutionary approach backing DSP, Sahara Labs is elevating its position as a leading platform in redefining the data sourcing, validation, and rewarding to advance AI development sector.

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