The rapid development of generative AI has driven massive demand for efficient and scalable AI data centers while introducing a series of challenges.
AI Data Center Business Challenges
- Surging Demand for AI Development Capabilities: The widespread adoption of generative AI has exponentially increased the need for high-performance computing resources and model training, leaving enterprises searching for effective solutions.
- Lack of a Unified Management Platform: Many computing centers rely on multiple tools to manage different resources, lacking a centralized platform for coordination and management. This not only increases complexity but also reduces management efficiency.
- Resource Conflicts in Multi-User Environments: Users often have overlapping resource demands in shared computing center environments. Without a robust resource allocation mechanism, resource conflicts may arise, negatively impacting user experience.
- Challenges in Cost Control: Operating data centers involves significant expenses, including hardware, electricity, and maintenance. Effectively controlling costs and improving resource utilization are critical challenges for data center operators.
AI-Stack Solutions
- Unified Management Platform: AI-Stack supports heterogeneous computing, enabling the management of GPUs from different brands and specifications (NVIDIA & AMD), as well as other computing resources, through a single unified platform. Administrators can monitor, schedule, and allocate all resources centrally.
- Flexible Allocation: GPU resources can be flexibly allocated based on application scenarios and user requirements. The platform automatically assigns the most suitable resources according to task priorities and resource demands, maximizing utilization.
- Multi-tenant Management: Provides comprehensive multi-tenant management functionality, allowing administrators to set different access permissions and quotas for users, ensuring fair resource allocation.
- Visualized Dashboard: Offers an intuitive graphical interface for administrators to easily monitor system performance and manage resources effectively.
- Cost Optimization: Accurately tracks and analyzes resource usage, helping users understand expenses and reduce operational costs.
AI-Stack not only helps AI data centers overcome operational and management challenges but also enhances overall efficiency, cost management, and stability through centralized management and efficient resource allocation. It provides robust support for enterprises’ AI applications.
Success Story: Collaboration with Taiwan’s Ministry of Digital Affairs
INFINITIX partnered with Taiwan’s Ministry of Digital Affairs (MODA) on the “Digital Industry Cross-Domain Software Infrastructure and Service Enhancement Program,” a key milestone for MODA. This project aims to provide Taiwan’s startups with efficient and reliable AI computing resources.
Through the AI-Stack GPU management platform, the first compute management system in Taiwan supporting cross-brand GPU integration (NVIDIA & AMD) was created. The platform leverages virtualization technology, distributed training, and automated resource allocation to optimize compute resource usage, significantly reducing AI model development cycles and driving Taiwan’s digital industry transformation and startup innovation.
This project highlights the tremendous potential of public-private collaboration in advancing the digital economy and establishes a solid foundation for Taiwan’s global digital strategy.
Learn more about the case: https://ai-stack.ai/en/moda-infinitix-data-center
