TOP AI Network Biweekly Report: October 15, 2025 -October 28, 2025

Technical Progress

1. AI Model Market Launch Preparation

The AI Model Market brand has completed its final testing phase and is preparing for official launch. The platform has integrated more original model providers, including Claude, Grok, and Gemini, further enriching the available ecosystem. The system remains stable as the team finalizes performance validation and user experience refinement.

2. Internal Testing & Product Experience Optimization

Over the past two weeks, we’ve focused on improving model loading and inference performance — achieving an average 50% increase in response speed.
The user interface and interaction design have been updated with clearer model details, transparent pricing, and more intuitive browsing. Additional safety and access control measures have also been integrated.

3. Infrastructure & Compute Scheduling Enhancement

The compute scheduling system continues to perform reliably under high-concurrency scenarios, ensuring stable multi-model inference and resource allocation across nodes.

Next Steps

• Officially open the Model Marketplace brand to developers and enterprise users
• Expand partnerships with model providers and introduce more types such as ASR and TTS models
• Implement crypto-based settlement to improve flexibility for global users
• Continue optimizing scheduling performance and model management experience

About TOP AI Network

TOP AI Network is a decentralized AI Model platform and also the infrastructure for AI Agents, empowering AI model developers to deploy and host their models without the need for costly hardware or complex software. TOP AI Network aims to provide a robust Layer 1 blockchain infrastructure that serves a wide range of users, from individual developers to large-scale businesses. With a mission to support decentralized AI computing power for Web3.0, DePIN, and gaming ecosystems, it ensures low transaction fees, high speed, scalability, and an exceptional user experience, addressing the growing demand for AI-driven applications.

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