Leanid Palkhouski is the Head of Ecosystem at Network3, helping AI developers efficiently train and validate models using Network3’s AIoT Layer 2 technology. 

Why you should listen

Network3 builds a dedicated AI Layer2, enabling AI developers worldwide to efficiently train, validate, and optimize models at scale through advanced techniques like AI model optimization, compression, federated learning, edge computing, and confidential computing. 

They recently secured $5M to build Edge AI infrastructure, growing to over 300,000 nodes and 100,000 daily active sessions.

Network3 announced its new Local Large Language Model (LLM) feature at the TOKEN2049 DePIN Summit. This feature enhances the AI processing capabilities of smart devices by optimizing performance and reducing reliance on cloud computing. With Edge AI, data processing is done directly on local devices, improving efficiency, reducing costs, and enhancing privacy. Network3 aims to make AI and Web3 more accessible by allowing IoT devices to train small AI models and offer rewards for shared computing power. The new LLM will launch for testing soon.

Network3’s N3 Edge V1 mining device, designed for decentralized physical infrastructure (DePIN) applications, sold out within seconds of its release. The high demand for the device reflects strong market interest in DePIN, which enables the deployment of decentralized infrastructure networks using token incentives. The N3 Edge V1 offers powerful edge computing capabilities, contributing to Network3's broader goal of enhancing smart device networks. 

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