INFINITIX's "AI-Stack" is an industry-leading AI infrastructure management software and an essential tool for enterprises adopting AI services. It integrates a wide range of features, including GPU partitioning technology (NVIDIA/AMD), GPU aggregation, cross-node computing (HPC), an intuitive user interface, containerization and MLOps workflows, open-source deep learning tools, and environment deployment functionalities, enabling enterprises to easily overcome the challenges of rapid AI iteration.

In 2025, the platform was honored with both the COMPUTEX "Best Choice Award" and the "AI Award Best Solution" (Excellence) from the Taiwan AI Association (TAIA). This dual recognition showcases INFINITIX's strength in technical innovation in the fields of AI resource orchestration and high-performance computing.

AI-Stack Solutions

GPU Partitioning, Aggregation, and Cross-Node Computing

AI-Stack supports GPU partitioning, aggregation, and cross-node computing for both NVIDIA and AMD GPUs, allowing for flexible and fine-grained resource allocation based on different task requirements. Small-scale projects can effectively utilize compute power through the GPU partitioning feature. Meanwhile, for high-intensity workloads like training large language models, maximum performance can be achieved through GPU aggregation and cross-node computing.

AI-Stack is currently the only platform on the market that simultaneously supports partitioning and management for the two major mainstream GPU companies(Nvidia and AMD), providing enterprises with unprecedented flexibility and efficiency.

Single Platform for Unified Management of Multi-brand GPUs

AI-Stack stands out in the market by offering a single, integrated management platform that can orchestrate and manage GPU resources from different brands. With AI-Stack, enterprises can say goodbye to multiple management interfaces and cumbersome compatibility issues, truly achieving centralized, intelligent GPU resource management that significantly simplifies the burden of IT operations.

One-Minute Development Environment Setup

In traditional development workflows, AI researchers often spend one to two weeks on the tedious process of requesting environment resources and installing packages. However, with AI-Stack, this can be completed in just one minute. Through a user-friendly interface, users can set up a container and begin model training with just a few simple steps, which significantly boosts development efficiency.

Rapid Container Service (RCS)

RCS is a solution designed specifically for AI inference and application services. Based on a Kubernetes architecture, it allows enterprises to easily configure service specifications, manage container deployments, and perform auto-scaling and rolling updates. This significantly boosts the operational efficiency and stability of AI applications. RCS offers several key advantages:

• Rapid Deployment
• Real-time Monitoring
• High Scalability
• Efficient Version Management

Monitoring Visualization Dashboard

AI-Stack features a comprehensive dashboard that provides a unified interface, enabling enterprise managers and IT teams to easily monitor the load, memory, and compute consumption of every GPU for each project. The clear, graphical data not only helps you connect resource utilization to operational costs, allowing you to effectively optimize resources and future investments, but also ensures the smooth operation of your AI system through real-time alerts.