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Q: What is the main advantage of this tool technical architecture?

A: This tool is built using a multi-Docker environment, which provides significant flexibility. This architecture allows for rapid customization and adaptation, making it an ideal solution for a wide range of industry applications and specific business domains.

Q: We are a machine vendor. How do we integrate this tool into our products?

A: We partner with machine vendors to provide a tailored solution. Think of us as your Original Design Manufacturer (ODM) for AI functionality. Please contact us directly to discuss your specific needs and how we can best collaborate to meet them.

Q: We are a shop floor and want to use AI to improve efficiency. Can this tool help us?

A: Absolutely. Our tool can be customized to meet the unique demands and workflows of a shop floor environment, helping you enhance productivity and operational efficiency. We can adjust the features of tool to fit your specific requirements.

Q: Can the LLM run locally? We do not want to share our factory data with the cloud.

A: Yes, our VAISense Automation GenAI Tool infrastructure is designed to be flexible and supports both local (on-premise) and cloud-based LLM deployment. We understand that data privacy is a top priority, especially with sensitive factory data. While most cloud LLM providers offer robust data protection and security measures, running the model locally gives you complete control over your data, ensuring it never leaves your network. For an on-premise setup, a dedicated AI server is required. This server must have sufficient hardware resources—particularly a high-performance GPU with ample VRAM—to run the LLM effectively and with low latency. Our team can work with you to assess your specific needs and recommend the appropriate hardware configuration.

Q: Why do I experience this demonstration tool being unavailable at times?

A: Our VAISense Automation GenAI Tool is a demonstration environment that we are continually enhancing. We perform regular updates and maintenance to introduce new features and improve performance. To ensure minimal disruption, these updates are scheduled during off-peak hours, typically at midnight (Taipei Time). We apologize for any inconvenience this may cause and appreciate your understanding as we work to provide a better, more feature-rich experience.