Enterprise AI in action: Insights from GTC 2026, San Jose | ASUS Press Room

At GTC 2026 in San Jose, enterprise AI was deployed across data centers, edge sites, and physical systems. Actual business value depends on reliable, scalable, and practical infrastructure, software, and services. A complete ecosystem is essential for AI to produce results. ASUS combines powerful hardware, flexible infrastructure, and expert services to help organizations leverage AI from the data center to the edge.

Building on these efforts, ASUS recently announced the strategic expansion of its Infrastructure Solutions Business Group (IS BG) to strengthen its commitment to next-generation AI infrastructure. IS BG will provide integrated, future-ready systems including servers, storage, networking and edge-to-cloud solutions, while adding R&D, sales and operational resources to support high-growth customers around the world.

At this year’s GTC, ASUS demonstrated its latest innovations and highlighted how the right ecosystem of infrastructure, software, and services can produce tangible results.

Scale AI at the enterprise level

ASUS showcased next-generation AI infrastructure designed for large-scale deployments, from rack-scale AI factories to enterprise and edge environments. Powered by NVIDIA Vera Rubin NVL72, ASUS AI POD delivers ultra-dense AI performance, flexible cooling, enterprise-grade redundancy, and simplified full-stack deployment.

Our portfolio spans liquid, hybrid, and air-cooled systems, giving organizations the flexibility to build energy-efficient clusters to suit their needs. Through close collaboration with NVIDIA, we are preparing AI PODs for mass production and working with customers to meet anticipated demand. These solutions allow businesses to safely and efficiently scale AI while maintaining operational control and energy efficiency.

Rack-scale servers such as the XA NR1I-E12L/R and high-performance systems such as the XA NB3I-E12, ESC8000A-E13X, and ESC8000A-E13P support workloads ranging from AI model training to high-end visual computing. Additionally, partnerships with Vertiv, Schneider, and NVIDIA certified storage providers ensure resilient, optimized, and redundant performance in any deployment.

Bringing AI to the physical world

ASUS is also extending AI beyond the data center, Robotics, automation and intelligent systems. Our key solutions in this area include:

• PE3000N – Robust edge AI platform powered by NVIDIA Jetson Thor. Designed for real-time computing, sensor fusion, and autonomous operations.

On the software side, ASUS AI Hub provides a turnkey platform for deploying agent AI, building custom AI assistants, implementing RAG-powered document intelligence, and scaling secure operations. Together, these systems enable AI to perceive, reason, and act, bridging the digital and physical worlds and turning experiments into results.

GTC key points

At the event, our colleagues from ASUS took to the stage to share how they operate enterprise AI at scale. Their session highlighted how infrastructure, software, and orchestration, from data centers to edge sites, digital models to physical systems, work together to enable real-world AI deployments. These presentations articulated how ASUS is partnering with NVIDIA, IBM, and other ecosystem leaders to deliver solutions that transform the potential of AI into measurable outcomes.

Build an enterprise AI factory

The session “Building an Enterprise AI Factory: Integrated Stack with ASUS, IBM, and NVIDIA” featured my colleague, ASUS Division Director Alber Wu. of the solutionand Vincent Hsu, vice president of IBM Storage Solutions, shared how businesses can turn raw data into actionable insights at scale. They highlighted a validated, integrated AI architecture that enables reliable and efficient deployment from the data center to the edge.

• AI Factory in the Age of Generative AI: Businesses need to transform raw data into actionable insights at scale. ASUS, IBM, and NVIDIA offer an integrated “AI Refinery” to enable secure and scalable deployment of Agentic AI from the data center to the edge.
• Integrated converged architecture: The solution combines NVIDIA-certified ASUS GPU servers, NVIDIA AI Enterprise pipelines, and IBM storage with built-in intelligence to support vector indexing, real-time change detection, secure access, KV cache offload, and optimized inference.
• Orchestration and hybrid deployment: Red Hat OpenShift integrates with the NVIDIA GPU Operator, NVIDIA NIM Operator, and IBM Content-Aware Storage (CAS) to enable secure containerized deployments across hybrid environments and support advanced inference and search extension generation (RAG) workflows.
• Validated AI blueprints: ASUS GPU Servers and AI Blueprints accelerate deployment and ensure reliability, performance, and scalability for enterprise-grade AI workloads.
• Centralized management and deployment: ASUS Infrastructure Deployment Center (AIDC) enables rapid deployment of NVIDIA certified storage, and ASUS Control Center (ACC) provides real-time monitoring of the health of GPU servers, storage servers, and CAS/Spectrum Scale SDS services.

Get your AI factory up and running — enable agile automation with Gen AI agents and digital twins

“AI Factory in Action: Achieving Agile Automation with Gen AI Agents and Digital Twins” was a talk by my colleague Joseph Lu, Senior Director at ASUS, along with Jesse Chen, CEO of Spingence. They investigated how factories are evolving into AI factories, where intelligence is created along with products.

• AI Factory Paradigm: As manufacturing moves from high-volume production to high-mix, low-volume demands, flexibility becomes important. AI factories integrate intelligence into production, enabling adaptive and autonomous manufacturing.
• Agent AI behavior: AI agents reduce adaptation to robot workflows from weeks to minutes by recognizing changes, reasoning through complex tasks, and validating strategies in virtual simulations before physical execution.
• Integrated infrastructure and edge AI: ASUS provides high-performance edge AI hardware and NVIDIA AI Enterprise for secure and scalable model deployment, forming the backbone of autonomous operations and generative AI workflows.
• Digital Twin and NVIDIA Omniverse: NVIDIA Omniverse enables physically accurate simulations, allowing manufacturers to virtually test and optimize processes before applying them to the manufacturing floor.
• Full-stack AI-centric solution: ASUS certified AI servers and edge devices are integrated with NVIDIA AI Enterprise and Omniverse to streamline generative AI deployments and transform fragmented automation into integrated intelligent systems.

Core collaboration

What stood out most at GTC 2026 was that enterprise AI grows through collaboration. The combination of our partners’ expertise, from ASUS Infrastructure, NVIDIA Platforms, and IBM Storage to Omniverse Digital Twin, shows that complex AI deployments are successful when technology, guidance, and services come together.

Building impactful AI is never a solo effort. It requires trusted partnerships, integrated solutions, and a shared commitment to performance, scalability, and real-world results. At ASUS, we’re proud to work with industry leaders and customers to deliver an AI ecosystem that turns possibilities into measurable results, whether in the data center, at the edge, or in the physical world.