Followin' new narratives and technological breakthroughs are always the core driving force behind the advancement of the industry. Currently, the AI Agent is undoubtedly one of the hottest tracks.
As the crypto world turns its attention to the AI field, most projects are still at the level of using AI as a tool or application scenario, trying to attract users by integrating AI models or optimizing on-chain functions. However, this superficial combination has not truly addressed the core pain points of the AI field - the high cost of computing power supply, the vulnerability of data privacy, and the limitations of centralized architecture. Blockchain technology should have brought revolutionary breakthroughs to the AI field with its decentralized, transparent and secure features, but the reality is that many projects have only treated AI as an additional function, rather than fundamentally solving the underlying problems of the AI ecosystem.
Especially, the rapid development of AI Agents has exposed the shortcomings of the existing infrastructure. Whether it is the high cost of computing power or the lack of data privacy protection, they have become the bottlenecks restricting the large-scale application of AI Agents.
How to truly solve the underlying problems of the AI ecosystem, rather than just riding the trend, is the key to the sustainable development of the project, and Lumoz is the practitioner of this concept. From the airdrop activity at the end of 2024, Non-Fungible Token incentives to the mainnet launch, Lumoz has been steadily advancing according to the roadmap, and continuously breaking through in technological innovation. Now, with the official launch of the Lumoz Chain, the integration of modular computing power and AI has finally ushered in a real landing scenario.
Dual-Node Architecture and Verifier Node Migration: A Milestone of Technological Independence
As a new generation of decentralized AI computing infrastructure, the architectural design of the Lumoz Chain is centered around the Verifier Node and the Compute Node.
The Verifier Node plays a crucial role in the Lumoz ecosystem. With the official launch of the Lumoz Chain, the Verifier Node network has completed the important migration from Arbitrum One to the Lumoz Chain. By establishing a dedicated chain, Lumoz has gained full autonomy over the network architecture, and can optimize the ZK verification and AI computing performance in a targeted manner. Just like building a factory can customize the production line according to specific needs, Lumoz can flexibly adjust and optimize its network parameters and functions based on the special needs of decentralized AI computing.
Furthermore, the migration, as a specific technical upgrade, can be interpreted from three dimensions:
First, the enhancement of technological independence allows Lumoz to break through the limitations of L2 solutions and achieve more efficient computing processing. For example, when handling large-scale AI model training, the dedicated chain can optimize the data transmission and verification mechanism in a targeted manner, significantly improving the processing efficiency. Secondly, the new dual-node architecture provides more comprehensive infrastructure support for decentralized AI applications. In practical applications, when users submit AI computing tasks, the Compute Nodes can respond and execute the computations quickly, while the Verifier Nodes ensure the accuracy and credibility of the computing results. Thirdly, the carefully designed migration plan ensures the security and continuity of the network service.
Of course, to ensure the smooth transition of the ecosystem, Lumoz has also taken a series of thoughtful measures, including launching the OG Non-Fungible Token reward program and automatically migrating node licenses, effectively maintaining the rights and interests of existing ecosystem participants and ensuring the stable operation of the network.
Innovative Compute Node: Breakthrough the Technical Barriers of AI Computing
Returning to the AI dilemma mentioned at the beginning, the Compute Node of the Lumoz Chain is the key to solving this problem.
In terms of reliability, Lumoz has built a distributed network consisting of tens of thousands of Compute Nodes worldwide. Each node acts as an independent GPU computing unit, and tasks are automatically allocated through smart contracts. This architecture ensures that even if individual nodes fail, the system can complete task migration within milliseconds, ensuring service continuity. In practice, the DeepSeek model running on this architecture has achieved 99.99% availability.
In terms of cost control, Lumoz Chain innovatively integrates the idle GPU resources from miners, data centers, and individual contributors. By establishing a dynamic bidding mechanism, the computing cost is reduced to about one-tenth of traditional cloud services.
In terms of data security, Lumoz adopts zero-knowledge proof (ZK) technology to ensure end-to-end data encryption, and stores the interaction records in the decentralized storage layer (DA). This architectural design fundamentally solves the problems of data tampering and leakage, and realizes users' complete control over their personal data.
Currently, the Lumoz Chain has successfully deployed and run the open-source DeepSeek model, verifying the technical feasibility of the decentralized computing network, with more than 80% of the inference requests responded within 3 seconds and a unit cost of only 12% of the centralized platform. It is worth mentioning that Lumoz has launched the Lumoz Decentralized AI experience entry (currently only users who have staked or delegated can experience it). This means that whether it's writing a paper or doing divination, users can use the AI function online at the same time, bidding farewell to the frustration of "DeepSeek server is busy, please try again later".
In the upcoming plans, Lumoz plans to open the AI computing market protocol standard in 2025, allowing any developer to seamlessly integrate into its computing network. At the same time, Lumoz will also introduce dozens of AI models in vertical fields, creating a decentralized AI application store to provide more scenarios with efficient and low-cost AI services.
How does the market view it? The anti-downward trend of MOZ says it all
The most direct way to judge a project is to look at its market participation and performance. As the core token of the Lumoz ecosystem, the market data of MOZ reflects the value capture capability of the Lumoz ecosystem.
Since the listing of MOZ on mainstream exchanges, its market performance has shown a significant growth trend. The daily trading volume of MOZ has remained around $260,000, with relatively good liquidity. In terms of price trend, after the initial price discovery stage, MOZ has shown a steady upward trend. Particularly during the recent market downturn, MOZ has exhibited strong anti-downward resilience. After the news of the Lumoz Chain launch, MOZ has risen nearly 5% even in the context of a sluggish market, further confirming the market's recognition of its technical strength and development prospects.
By connecting traditional GPU resource holders and emerging AI application developers, Lumoz has not only built an efficient computing power trading market, but also created a new model for the decentralized allocation of computing power resources.
If Lumoz continues to follow the roadmap, it is likely to develop into a complete decentralized AI ecosystem, covering multiple dimensions such as model development, data trading, and computing power allocation. With the lowering of access barriers and the continuous optimization of technology, more innovators will have the opportunity to participate in the development and application of AI technology, which will not only drive the explosive growth of AI application scenarios, but also become an important force in promoting the democratization of AI, laying the foundation for building a more open and inclusive AI future.
