From AI Compute to Industry Deployment: Visionbay.ai Powers Foxconn’s 3+3+3 AI Applications

From AI Compute to Industry Deployment: Visionbay.ai Powers Foxconn’s 3+3+3 AI Applications

In the Era of AI Deployment, Enterprises Need More Than GPUs — They Need Production-Grade Compute

As Generative AI, AI Agents, and multimodal models evolve, AI is moving from experimentation to reliable, large-scale deployment in real-world environments. Enterprises need more than GPUs—they need stable, scalable compute for model training, fine-tuning, inference, and continuous production workloads. Visionbay.ai provides high-performance NVIDIA GPU compute services, delivering the underlying compute foundation that helps enterprises move AI from models to real-world industry applications.

Empowering Foxconn’s 3+3+3 Strategy

As part of Foxconn’s 3+3+3 strategy, AI is being applied across Smart City, Smart Manufacturing, and Smart EV scenarios. Visionbay.ai provides the underlying GPU compute infrastructure that supports these applications, helping bring AI into urban governance, manufacturing, and intelligent mobility.

1. Smart City | CityGPT Makes AI a Foundational Capability for Urban Governance

Smart city AI needs to integrate diverse data while supporting real-time inference, AI Agents, and multimodal applications across citizen services and government operations.

With CityGPT, citizens can submit suspicious messages or potential scam content through a citizen service app for AI-powered analysis. CityGPT integrates cross-departmental data, government knowledge bases, and AI Agents to identify risks, classify incidents, and provide recommendations.

When incidents are reported, CityGPT can further support government personnel by analyzing cases, generating draft official documents, and assisting with case routing and follow-up—improving information integration, case handling, and decision-making efficiency.

Through its Token Platform, Visionbay.ai connects underlying GPU compute to support CityGPT’s model training, fine-tuning, and real-time inference, helping transform AI capabilities into continuously operating smart city services.

2. Smart Manufacturing | Genesis Uses Multi-Agent AI to Accelerate Production Decisions

When production capacity or delivery schedules are at risk, engineers need to quickly identify bottlenecks across equipment, workforce, production plans, and other operational data.

Through Agentic Ops AI within Foxconn Genesis, complex production issues can be broken down into tasks handled by different AI Agents. Through Multi-Agent collaboration, Genesis analyzes production capacity, equipment, workforce, and scheduling data, while simulating scenarios and generating optimization strategies for engineers to evaluate.

This transforms AI from a data analysis tool into an intelligent assistant for production-line decision-making, accelerating problem resolution and improving production efficiency.

Visionbay.ai provides the high-performance GPU compute required for Agentic Ops AI inference and AI workloads, delivering a stable and scalable foundation for smart manufacturing.

3. Smart EV | ADAS Continuously Builds on Every Driving Experience

Imagine a driver traveling on a highway with ADAS enabled. As a truck approaches, AI Agents analyze the vehicle, road, and surrounding environment to understand the driving scenario and behavioral patterns. Through AI Agents and scenario generation, different driving situations can be transformed into accumulated AI data and experience, continuously expanding scenario coverage and model capabilities. Every journey becomes another experience for AI to learn from. Every “Foxconn Inside” vehicle becomes smarter with every drive. Visionbay.ai supports the model training, scenario generation, and inference workloads behind ADAS and AI Agents, helping enhance AI perception and decision-making for safer, smarter driving.

World-Class AI Infrastructure for Production-Grade Compute

To support next-generation AI workloads, Visionbay.ai has built a new 5MW AI cluster powered by NVIDIA HGX B300, featuring liquid cooling, 2N high availability, and NVIDIA Quantum-X800 InfiniBand networking.

The cluster has also achieved NVIDIA Exemplar Cloud validation for NVIDIA HGX B300 training workloads, making Visionbay.ai one of the top 10 globally and the second in Asia to pass NVIDIA’s production-grade AI training validation as an NVIDIA Cloud Partner (NCP).

This validation demonstrates Visionbay.ai’s capabilities in AI compute performance, network efficiency, cluster stability, and long-duration operation for production-grade AI workloads.

From AI Compute Services to a Tokenized AI Factory

From smart cities and manufacturing to smart EVs, AI is moving toward large-scale industrialization. Visionbay.ai continues to expand AI infrastructure across the Asia-Pacific region, powered by NVIDIA Blackwell and NVIDIA Vera Rubin architectures.

By integrating GPU Cloud, AI platforms, AI observability and operations, and Token Factory capabilities, Visionbay.ai provides services spanning model training, fine-tuning, inference, and AI Agent deployment—building toward a production-ready Tokenized AI Factory.

Visionbay.ai will continue working with enterprises, governments, and industry partners to build the infrastructure for the next generation of the AI economy—helping AI move from models and compute to real-world industry value.