ASUS today announced its booth showcase at Ai4 2026, North America’s largest gathering of AI industry leaders, taking place August 4–6, 2026 at The Venetian in Las Vegas. Guided by its vision of Ubiquitous AI. Incredible Possibilities, ASUS brings its most complete AI infrastructure lineup yet to Booth #1348, under the theme “Trusted AI, Total Flexibility,” spanning enterprise AI servers through deskside AI supercomputing.

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ASUS presents its full-stack AI infrastructure at Ai4 2026 in Booth #1348 at The Venetian, Las Vegas, August 4–6, 2026. The showcase spans the ASUS ESC8000A-E13P NVIDIA MGX GPU server, the RS720A-E13-RS8G DC-MHS rack server, the ASUS Ascent GX10 AI Supercomputer based on NVIDIA DGX Spark, and the ASUS ExpertCenter Pro ET900N G3 deskside AI supercomputer built on NVIDIA DGX Station GB300 architecture, delivering up to 20 petaFLOPS of AI performance.

ASUS presents its full-stack AI infrastructure at Ai4 2026 in Booth #1348 at The Venetian, Las Vegas, August 4–6, 2026. The showcase spans the ASUS ESC8000A-E13P NVIDIA MGX GPU server, the RS720A-E13-RS8G DC-MHS rack server, the ASUS Ascent GX10 AI Supercomputer based on NVIDIA DGX Spark, and the ASUS ExpertCenter Pro ET900N G3 deskside AI supercomputer built on NVIDIA DGX Station GB300 architecture, delivering up to 20 petaFLOPS of AI performance.

Ai4 2026 draws the people building the future of AI: three days of technical deep dives on retrieval-augmented generation (RAG), multi-modal AI, world models, and “vibe coding”; industry tracks spanning healthcare, financial services, cybersecurity, energy, and manufacturing; and an AI Policy Summit shaping governance, ethics, and national strategy.

Inside the ASUS booth (#1348): the full AI stack, end to end

At Booth #1348, four ASUS platforms represent one continuous AI workflow — training in the rack, deployment at data-center scale, and inference at the deskside — in a 4-in-1 integrated showcase:

  • ASUS ESC8000A-E13P (server based on NVIDIA MGX architecture): Eight dual-slot NVIDIA H200 GPUs or NVIDIA RTX PRO™ 6000/4500 Blackwell Server Edition GPUs with an AMD EPYC™ 9005/9004 dual-processor based on a 4U NVIDIA MGX architecture supporting, with up to 24 DIMM and eight PCIe 5.0 slots. Full NVIDIA MGX compatibility enables fast, large-scale deployment.

  • ASUS RS720A-E13-RS8G (DC-MHS rack server): an AMD EPYC 9005 dual-processor 2U server optimized for up to three dual-slot GPUs, with up to 24 RDIMM and eight PCIe 5.0 expansion slots. Built on the flexible DC-MHS architecture for seamless integration, optimization, and scalability in modern data centers.

  • ASUS Ascent GX10 (AI Supercomputer, based on NVIDIA DGX Spark): powered by NVIDIA GB10 Grace Blackwell Superchip, delivering up to 1 petaFLOP of AI performance at FP4 precision and 128GB of coherent unified system memory — running AI models up to 200 billion parameters and always-on autonomous agents locally, right from the desktop.

  • ASUS ExpertCenter Pro ET900N G3 (deskside AI supercomputer, built on NVIDIA DGX Station): powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, with 748GB of coherent memory and up to 20 petaFLOPS of AI performance — enabling development and execution of massive AI workloads and models up to 1 trillion parameters locally.

ASUS is a global OEM partner for both NVIDIA DGX Spark and NVIDIA DGX Station, with Ascent GX10 and ExpertCenter Pro ET900N G3 listed among NVIDIA’s partner systems.

“Enterprises no longer ask whether to adopt AI, but how to scale it with confidence,” said Brian Ngo, Senior Product Marketing Manager at ASUS. “At Ai4 2026, we’re showing how ASUS delivers trusted AI infrastructure with total flexibility — from rack-scale training systems to a 20-petaFLOPS AI supercomputer that sits beside your desk.”

“Organizations are moving from AI pilots to production workflows. NVIDIA MGX, DGX Station and DGX Spark architectures provide the flexible foundation to build and run AI across the data center and desktop,” said Kaustubh Sanghani, Vice President of GPU Product Management at NVIDIA. “ASUS systems built on NVIDIA architecture can help enterprises build on-prem AI factories to enable always-on autonomous agents running locally.”

The ASUS showcase lands alongside one of the strongest keynote lineups in the industry — Geoffrey Hinton, Fei-Fei Li, Andrew Ng, and Waymo’s Dmitri Dolgov and Sebastian Thrun.

Why full-stack AI infrastructure matters now

As AI adoption rapidly expands across industries, organizations increasingly require powerful local AI infrastructure capable of supporting large-scale AI training, inference, and autonomous agentic AI workflows without relying entirely on cloud computing. Deploying AI capabilities locally enables greater control, lower latency, predictable operational costs, and enhanced data privacy. At the top of that stack, power density and cooling now decide what a data center can actually run: the ASUS AI POD built on NVIDIA Vera Rubin NVL72 with 100% liquid cooling at rack densities reaching 227kW, while the ASUS XA NR1I-E12L, an 8-GPU AI server built on NVIDIA HGX™ Rubin NVL8, gives teams a hybrid-cooled entry point to the same architecture. The ASUS Ai4 2026 showcase presents that continuum in one place: scale up the rack, train in the rack, deploy at data-center scale, and infer at the deskside.

For more information on ASUS at Ai4 2026, visit press.asus.com — or come see the full lineup at Booth #1348.

About ASUS

ASUS is a global technology leader that provides the world’s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today’s technologies. Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us. https://asus.com

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