# ASUS Advances AI Factories with Integrated Infrastructure and Operational Governance

- Link: https://www.thailand-business-news.com/pr-news/asus-advances-ai-factories-with-integrated-infrastructure-and-operational-governance
- Published: 2026-09-03T23:23:00+07:00
- Author: PR Newswire

Uniting accelerated computing, simulation-validated deployment and AI governance
into one continuous AI factory platform

SEOUL, South Korea, Sept. 4, 2026 /PRNewswire/ — At ASUS AI Tech 2026, [ASUS](https://servers.asus.com/)
today redefined AI infrastructure from systems that run AI to platforms that build
and operate AI factories. Working with NVIDIA and a growing ecosystem of technology
partners — including Aleria, AMD, Crusoe, Foxlink, IBM, Intel, Samsung, Schneider
Electric and WD — ASUS is enabling enterprises to move beyond standalone infrastructure
to production-ready AI factories where performance, operational resilience and AI
governance are engineered across the entire lifecycle.

 [⌊From left: Eric Leandri, CEO of Aleria; Chang-Ho Lee, C&SP Sales Team Leader and Regional Cooling BD at Schneider Electric Korea; JY Jung, DRAM Product Planning Group Leader at Samsung Electronics; David Fu, General Manager of ASUS APAC, ISBG; Soyoung Jeong, NVIDIA Korea Enterprise Business Lead; Andrew Wee, Vice President of Procurement at Crusoe; Paul Ju, ASUS Senior Vice President and Head of ISBG; Freddy Kuo, CEO of Foxlink; Craig McKenna, IBM Storage Sales Vice President, APAC; C.H. Hsieh, Corporate Vice President of the R&D Center, ISBG; and Minhyung Lee, NVIDIA SA⌉](https://mmx.prnasia.com/media/MS1981324/20260903104413EDT_image_1.jpg?id=OA2929012&p=medium600)

From left: Eric Leandri, CEO of Aleria; Chang-Ho Lee, C&SP Sales Team Leader and
Regional Cooling BD at Schneider Electric Korea; JY Jung, DRAM Product Planning 
Group Leader at Samsung Electronics; David Fu, General Manager of ASUS APAC, ISBG;
Soyoung Jeong, NVIDIA Korea Enterprise Business Lead; Andrew Wee, Vice President
of Procurement at Crusoe; Paul Ju, ASUS Senior Vice President and Head of ISBG; 
Freddy Kuo, CEO of Foxlink; Craig McKenna, IBM Storage Sales Vice President, APAC;
C.H. Hsieh, Corporate Vice President of the R&D Center, ISBG; and Minhyung Lee, 
NVIDIA SA

ASUS also reinforced its unified AI infrastructure platform spanning accelerated
computing, networking, storage, deployment software, AI operations and governance.
By integrating infrastructure engineering, deployment and operational intelligence
into a continuous platform, ASUS helps organizations shorten time to first token,
accelerate time to revenue and optimize infrastructure efficiency while maintaining
trusted AI at scale. This strategic evolution solidifies the role of ASUS as a pivotal
end-to-end AI infrastructure partner, transforming computing capacity into tangible,
business-driving AI innovation.

"ASUS is now comprehensively embracing its _All in on AI_ strategic initiative, 
dedicated to embedding AI across infrastructure, commercial solutions, and innovative
physical devices. As AI factories evolve into always-on production environments,
infrastructure performance and AI governance can no longer be addressed separately.
Infrastructure is the foundation of AI production itself. From the decisions that
shape the first token to the controls that govern AI at scale, ASUS is engineering
for what comes next—bringing compute, connectivity, power, cooling and automation
together to turn every watt, every dollar and every minute invested into AI output."
said Paul Ju, Senior Vice President, Head of Infrastructure Solution Business Group,
ASUS.

**AI governance starts before the first token**

Building a trusted AI factory begins long before the first model is deployed. ASUS
combines advanced system engineering with the [NVIDIA DSX Sim Blueprint](https://blogs.nvidia.com/blog/omniverse-dsx-blueprint/)
to help enterprises design, simulate, validate and optimize complete AI factories
before physical deployment. Working with ecosystem partners including Schneider 
Electric, AVEVA and IBM, ASUS brings compute, networking, storage, power, cooling
and facility infrastructure into a unified digital twin environment, enabling organizations
to identify constraints, optimize configurations and reduce deployment risk before
installation begins.

Once deployed, governance extends throughout AI operations. As agentic AI and physical
AI become increasingly autonomous, organizations require continuous visibility, 
oversight, and operational control across models, data, tools and enterprise systems.
Beyond the infrastructure management platforms, ACC (ASUS Control Center) and AIDC(
ASUS Infrastructure Deployment Center), ASUS significantly extends these capabilities
through its comprehensive AI Software Stack and Turnkey AI Applications. Within 
the AI Software Stack, customers gain direct access to essential tools such as Quota&
Billing and an MLOps Portal. These facilitate efficient resource management within
the data center, thereby accelerating overall operational speed. At the application
level, the AI Software Stack acts as a crucial operational layer and cross-platform
software stack. It functions as an ‘operational harness’, connecting enterprise 
governance directly with AI services and autonomous agents, enabling secure, manageable,
and production-ready deployment of agentic AI.

Backed by advanced integration capabilities and a long-standing collaboration with
NVIDIA, ASUS enables enterprises to accelerate AI from design to deployment and 
ongoing operations. Strong business growth reflects increasing market demand for
integrated AI infrastructure that shortens time to first token, accelerates time
to revenue and supports AI factories ranging from frontier-scale model development
to enterprise, agentic and edge AI deployments.

 ◦ **For large-scale AI factories:** ASUS AI POD, [XA VR721-E3](https://www.asus.com/event/asus-ai-pod-nvidia-vera-rubin-nvl72/),
   built on [NVIDIA Vera Rubin NVL72](https://www.nvidia.com/en-us/data-center/vera-rubin-nvl72/),
   provides a rack-scale platform for high-volume intelligence and low cost token
   generation delivering 10X the performance per watt versus the prior generation.
   Complementing this, the enterprise-ready [XA NR1I-E12LR and XA NR1I-E12L](https://www.asus.com/event/liquid-cooled-nvidia-hgx-rubin-gpu-server/),
   based on [NVIDIA HGX Rubin](https://www.nvidia.com/en-us/data-center/hgx/)[ NVL8](https://www.nvidia.com/en-us/data-center/hgx/),
   accelerate high-density AI infrastructure for demanding enterprise training, 
   inference, and post-training workloads.
 ◦ **For agentic AI:** The ASUS XA P2N-E2, a 2U NVIDIA MGX platform equipped with
   two [NVIDIA Vera](https://www.nvidia.com/en-us/data-center/vera-cpu/) CPUs and
   supporting up to two dual-slot NVIDIA GPUs, is purpose-built for responsive, 
   energy-efficient agentic reasoning, data processing, and orchestration at scale.
 ◦ **For edge and visual computing:** ASUS [ESC8000-E12P](https://servers.asus.com/products/Servers/GPU-Servers/ESC8000-E12P/),
   featuring [NVIDIA RTX PRO 6000](https://www.nvidia.com/en-us/data-center/rtx-pro-6000-blackwell-server-edition/)
   and [RTX PRO ](https://www.nvidia.com/en-us/data-center/rtx-pro-4500-blackwell-server-edition/)
   [4500](https://www.nvidia.com/en-us/data-center/rtx-pro-4500-blackwell-server-edition/)
   Blackwell Server Edition GPUs, extends acceleration for enterprise inference,
   vision AI, and visual computing from the data center to the edge. Additionally,
   the compact[ PE3000N ](https://www.asus.com/networking-iot-servers/aiot-industrial-solutions/embedded-computers-edge-ai-systems/pe3000n/)
   edge-AI platform, powered by [NVIDIA Jetson Thor T5000](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/)
   [ module](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/),
   delivers real-time inference, sensor fusion, and autonomous control for robotics
   and industrial automation environments.
 ◦ **For robust data foundation:** The ASUS UF920-E3-RS24 server, based on the [NVIDIA](https://www.nvidia.com/en-us/data-center/ai-storage/stx/)
   [ STX](https://www.nvidia.com/en-us/data-center/ai-storage/stx/)[ ](https://www.nvidia.com/en-us/data-center/ai-storage/stx/)
   [modular foundation for AI-native storage](https://www.nvidia.com/en-us/data-center/ai-storage/stx/),
   together with the ASUS OJ340A-RS60 object storage solution and VS320D-RS26N storage
   system, provides the resilient data foundation required for enterprise AI. Designed
   to meet the capacity, availability and data management demands of modern AI pipelines,
   the portfolio supports AI factories from design validation to production-scale
   deployment.

**Customer applications and AI factory implementation**

Beyond foundational infrastructure, ASUS showcased AI’s tangible impact through 
key partner demonstrations, illustrating real-world applications and emerging AI
paradigms. Foxlink demonstrated next-level industrial automation with autonomous
robotics, while Aleria highlighted the critical need for Sovereign AI deployments
designed to support localized data control and secure operations. This holistic 
approach, combined with robust ASUS software-hardware integration and Kubernetes
platforms, significantly shortens time-to-revenue for our customers. The ASUS vision
extends beyond merely selling computing power; we deliver operational AI factories
designed to continuously generate business value and drive the token economy.

**Accelerating AI adoption for transformative growth**

Looking ahead, ASUS is committed to continuously deepening its collaboration with
NVIDIA and a growing global ecosystem of technology partners. By integrating accelerated
computing, simulation-validated deployment, and AI harness engineering into one 
continuous governance framework, we empower organizations to protect their infrastructure
investments and maintain control as AI applications grow in complexity and autonomy.
Our overarching goal is to help enterprises transition from simply investing in 
AI to embedding intelligence across their entire operations. This strategic shift
is designed to shorten time to revenue, improve efficiency of tokens per watt, significantly
reduce resource waste and TCO, and ultimately build AI Factories engineered for 
peak performance, designed for adaptability, and governed for scalable growth.

**AVAILABILITY & PRICING**

ASUS servers are available worldwide. However, the availability of certain other
ASUS products is subject to local regulatory requirements. For specific product 
availability and offerings in your region, please contact your local ASUS representative.

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**Read the original article :** [ASUS Advances AI Factories with Integrated Infrastructure and Operational Governance ](http://www.prnasia.com/story/archive/5040121_AE40121_0?rand=184833)