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Zero Gravity Labs Raises $290M to Build Decentralized AI Operating System
Key Takeaways
- Zero Gravity Labs secures $290 million in funding for a decentralized AI operating system to support secure, efficient AI applications;
- The $290 million includes a $40M seed round from top VCs and a $250M liquid credit line;
- The system’s layered, blockchain-based structure aims for high data throughput and real-time, on-chain AI computations.
Zero Gravity Labs, commonly known as 0G Labs, recently secured $290 million in funding aimed at building the industry’s first decentralized artificial intelligence operating system (dAIOS).
This innovative project, as announced on November 13, positions 0G Labs to pave the way for a more open, decentralized AI ecosystem.
The funding for this ambitious venture was achieved through two key channels. Initially, a $40 million seed round was raised from various well-known venture capital firms, including Hack VC, Samsung Next, and Polygon
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To further support its objectives, 0G Labs arranged an additional $250 million financing agreement. This agreement provides the company with access to a line of credit that is both liquid and flexible, enabling the 0G Foundation to access substantial digital asset reserves held across various exchanges.
With this funding, 0G Labs is set to accelerate the development of its dAIOS. The operating system aims to create an infrastructure that can support AI applications within a decentralized network, significantly lowering operational costs and simplifying the management of large data and complex computations.
The architecture outlined in the project's white paper describes a structure comprising several interconnected layers, each dedicated to a unique function. This modular design will include a storage network, data availability network, and data-serving layer, collectively working to facilitate seamless data handling for AI applications.
One standout feature of 0G Labs’ operating system is its capacity for high-speed data processing, with a projected throughput of up to 50 gigabytes per second. Additionally, an on-chain inference layer will allow for real-time AI processing, cutting down the need for off-chain resources and enabling faster data-driven insights.
Michael Heinrich, the CEO and co-founder of 0G Labs, highlighted the team’s focus on decentralizing the AI ecosystem. Heinrich elaborated on the introduction of alignment nodes — a feature that allows network supporters to participate in and own portions of the infrastructure.
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