Lumoz Launches DeepSeek, Enabling an Ecosystem for AI Model Deployment
In Brief
Lumoz is actively operating DeepSeek, with plans to establish its AI computing market protocol standard within this year, release multiple AI models across different industries, and develop a decentralized app store for AI applications.
A modular computing layer alongside a Rollup-as-a-Service (RaaS) offering Lumoz announced its support for the AI model DeepSeek , paving the way for decentralized computing capabilities to revolutionize advancements in AI tech.
The Lumoz chain is currently deploying the open-source DeepSeek model and is proving the effectiveness of its decentralized computing network. Notably, over 80% of inference requests are processed in under 3 seconds, with costs amounting to just 12% of traditional centralized services.
In 2025, Lumoz aims to launch its AI computing market protocol standard, simplifying integration for developers into its computing ecosystem. The platform plans to showcase varied AI models across multiple sectors, facilitating the creation of a decentralized AI application marketplace.
By adopting this integration, developers can roll out AI models without having to worry about massive infrastructure investments, gaining access to potent computational resources whenever needed. Compute node operators can capitalize on unused GPUs and engage in the AI marketplace, while enterprise clients will enjoy secure, cost-effective, and dependable AI solutions.
Lumoz’s Approach to Tackling the AI Industry Crisis: A Decentralized Computing Network Underpinned by Blockchain
The AI sector is currently grappling with issues relating to centralization, steep costs, and privacy concerns. Major worries include the frailties of centralized systems, the exorbitant computing expenses, and rising trust deficits around data confidentiality. Lumoz endeavors to mitigate these challenges by constructing a flexible computing network that links numerous compute nodes worldwide. Leveraging blockchain tech, it streamlines the transparent allocation and transfer of computing assets, delivering three primary advantages for both AI developers and users.
Each compute node within the Lumoz framework operates autonomously as a GPU computing unit, with AI inference tasks distributed automatically through smart contracts. If one node encounters a problem, the system rapidly transitions to a different operational node, ensuring uninterrupted service. The open-source DeepSeek model boasts 99.99% uptime thanks to this configuration, effectively eliminating the risks tied to single points of failure.
Lumoz consolidates idle GPU resources from miners, data centers, and independent contributors. By utilizing a dynamic bidding process, it can significantly decrease computing costs to merely a fraction (one-tenth) of conventional cloud services. This enables developers to tap into sophisticated models like DeepSeek almost free of charge, while individual users gain access to AI services without unnecessary barriers, thereby promoting the growth of AI applications in less conventional circumstances.
The platform employs zero-knowledge Utilizing zero-knowledge (ZK) computations, user information remains encrypted throughout the entire process, preventing computing nodes from accessing raw data. All interaction histories are securely stored in decentralized storage, effectively removing the risks of data tampering or exposure. Consequently, users regain complete authority over their data.
Lumoz , a modular hashing power extension, along with a ZK RaaS platform, offers computational support for Rollups, ZK machine learning (ZK-ML), and zero-knowledge proofs (ZKP) verification, all backed by Proof of Work (PoW) mining mechanisms. Earlier this year, the company successfully completed its Pre-A and strategic funding rounds, raising a total of $14 million from prominent investors like OKX Ventures, HashKey Capital, KuCoin Ventures, Polygon, and IDG Blockchain.
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