ASUS Revolutionizes AI Factories with Integrated Platforms for Enhanced Governance

At ASUS AI Tech 2026, a groundbreaking innovation was unveiled, fundamentally altering the concept of AI infrastructure. ASUS has transformed from merely providing systems that execute AI tasks to developing comprehensive platforms designed to construct and operate AI factories. This evolution was realized through collaborative efforts with technology giants like NVIDIA, alongside a myriad of partners including AMD, IBM, and Samsung. The goal is to propel enterprises beyond traditional infrastructure toward fully operational AI factories, where superior performance, operational resilience, and integrated governance are paramount throughout the entire lifecycle of AI deployment.

ASUS is now offering what it refers to as a unified AI infrastructure platform, which encompasses accelerated computing, networking, storage solutions, and software deployment tailored for AI operations and governance. By fusing these components into a seamless continuum, organizations can significantly reduce the time required to deliver initial AI outputs, boost revenue generation, and enhance overall infrastructure efficiency, all while ensuring trustworthiness in AI at scale.

Paul Ju, ASUS’s Senior Vice President and Head of Infrastructure Solution Business Group, articulated the company’s vision: "ASUS is now comprehensively embracing its All in on AI strategic initiative, dedicated to embedding AI across infrastructure, commercial solutions, and innovative physical devices." He emphasized that as AI factories evolve into always-on production environments, the interrelation of infrastructure performance and AI governance becomes vital, highlighting the necessity for a synergistic approach toward AI production.

Early Stages of AI Governance: Setting the Foundation

The establishment of a reliable AI factory requires extensive groundwork that starts long before the initial deployment of AI models. ASUS has integrated advanced system engineering with NVIDIA's DSX Sim Blueprint, a tool that aids enterprises in the design, simulation, and validation of their AI factories prior to physical deployment. Through this collaboration, crucial partners like Schneider Electric and IBM help ASUS create a unified digital representation of AI infrastructure, which enables businesses to foresee potential constraints, refine configurations, and diminish risks before the actual installation begins.

Once the infrastructure is deployed, the importance of governance persists throughout operational use. With the rising autonomy of both agentic and physical AI systems, continuous oversight is necessary across various models, data sets, and operational tools. ASUS expands beyond conventional infrastructure management solutions through the ASUS Control Center (ACC) and the ASUS Infrastructure Deployment Center (AIDC), offering clients direct access to a robust AI Software Stack. This stack includes tools like Quota Billing and an MLOps Portal that facilitate resource management within data centers, driving operational efficiency.

Moreover, this software stack serves as an operational bridge, interlinking enterprise governance directly with AI services and autonomous agents to ensure secure and effective deployment. By leveraging NVIDIA's robust integration capabilities, ASUS empowers organizations to hasten their AI journey, simplifying the transition from conceptual designs to active deployment and sustained operational oversight.

Scalable AI Solutions for Diverse Needs

To accommodate large-scale AI production, ASUS has introduced the AI POD, along with advanced servers such as the XA VR721-E3. This platform boasts enhanced intelligence and cost-efficient token generation, achieving ten times the performance efficiency per watt compared to previous models. Other enterprise-ready offerings include the XA NR1I-E12LR and the XA NR1I-E12L, designed for high-density AI infrastructure catering to intensive training and inference operations.

In response to the evolving landscape of agentic AI, ASUS has developed purpose-specific platforms like the XA P2N-E2. This dual-slot NVIDIA MGX platform facilitates agile reasoning and data processing while supporting significant energy efficiency.

ASUS also extends its capabilities to edge and visual computing solutions, featuring the ESC8000-E12P, which enhances enterprise inference and visual AI applications. Additionally, the compact PE3000N edge-AI platform brings real-time inference and automation capabilities to various industrial settings. This portfolio is designed to meet and exceed the storage and data management needs pivotal for robust AI pipelines.

Real-World Applications of AI Innovations

ASUS’s partners have demonstrated the tangible benefits of AI applications, showcasing their innovative capabilities in industrial automation through autonomous robotics and emphasizing the urgency for localized data management. This illustrative approach underscores ASUS’s commitment to delivering operational AI solutions that create ongoing business value and drive success in the token economy.

Looking Ahead: A Commitment to Excellence

ASUS is focused on continuing its partnership with NVIDIA and an expanding network of global technology collaborators. By intertwining advanced technology, validated deployment strategies, and an overarching governance framework, ASUS aims to assist organizations in safeguarding their infrastructure investments and upholding control as AI technologies expand and evolve. Ultimately, ASUS aspires to transform its clients from initial AI investors to pioneers of embedded intelligence throughout their operations, designed for peak efficiency and scalable growth.

Availability and Pricing

ASUS's servers and solutions are available globally, though specific products may vary depending on local regulatory environments. For detailed availability or inquiries regarding product offerings, customers are encouraged to contact their local ASUS representative.