ASUS has expanded its artificial intelligence infrastructure ecosystem through strategic collaborations with Intel, AMD and a wider network of technology partners, including Aleria, Foxlink, IBM, Samsung, Schneider Electric and WD.
The announcement was made at ASUS AI Tech 2026, where the company showcased how it and its partners are advancing AI innovation across the technology stack, accelerating adoption and helping shape the future of computing.
Advanced AI infrastructure powered by Intel and AMD
At ASUS AI Tech 2026, ASUS and its technology partners demonstrated how AI infrastructure is evolving into high-performance, resilient and governed AI factories.
For enterprise and general-purpose applications, ASUS offers a broad AI infrastructure portfolio powered by Intel and AMD technologies, enabling organisations to deploy diverse AI workloads across a range of computing environments.
The showcase includes the ASUS RS700-E12-RS4U and RS720-E12-RS12U, powered by Intel Xeon 6 processors and designed as scalable computing platforms for artificial intelligence, high-performance computing and data-intensive workloads.
The XA P8I-E13A is also featured as a high-density 6U system built on the Intel Xeon Next-Gen processor platform, supporting advanced GPU acceleration for demanding AI applications.
For AMD-powered solutions, the RS720A-E14B-R32U, RS500A-E14B-R12U and ESC8000A-E13P provide flexible and scalable platforms for enterprise and AI workloads.
The RS720A-E14B-R32U and RS500A-E14B-R12U feature AMD EPYC 9006 Series server CPUs, delivering optimised performance and efficiency for modern data centres and business applications.
Meanwhile, the ESC8000A-E13P is equipped with AMD Instinct MI350P PCIe accelerators, providing scalable computing performance for inference, agentic AI and high-performance computing workloads.
Bringing real-time AI intelligence to industrial edge applications
As AI moves beyond traditional data centres into real-world environments, organisations increasingly require reliable edge AI infrastructure capable of delivering real-time intelligence across sectors such as transportation, public safety, manufacturing and healthcare.
Processing data locally rather than sending it to the cloud can help organisations keep sensitive information, including patient records, production data and video footage, onsite. This can strengthen data confidentiality while supporting compliance requirements in industrial and healthcare environments.
Unlike conventional servers designed for climate-controlled data centres, computing hardware deployed in environments such as factory floors, hospitals and power plants must operate reliably despite extreme temperatures, unstable power supplies and electrical noise.
Industrial edge computing therefore requires hardware engineered to support wide temperature and voltage ranges while providing protection against electrostatic discharge.
ASUS said its Industrial Edge Server delivers enterprise-grade AI computing, rugged reliability and long-term availability for applications including factory automation, automated optical inspection, video surveillance and healthcare.
The company also introduced the new RUC-2000 series embedded computer, powered by Intel Core Ultra Series 3 processors and capable of delivering up to 180 AI TOPS.
The rugged, fanless system is designed for applications including machine vision, video analytics and in-vehicle AI, extending AI computing capabilities into demanding industrial and mobile environments.
Advancing AI innovation from cloud to edge
ASUS said it remains committed to its vision of “Ubiquitous AI, Incredible Possibilities”, with intelligence increasingly embedded across products, platforms and strategic partnerships.
Through its expanding AI ecosystem, the company is enabling organisations to build, deploy and scale AI solutions across the full computing spectrum, from cloud infrastructure to edge environments.
The expansion reflects the growing shift towards distributed AI computing, where organisations can combine powerful data-centre infrastructure with edge systems capable of processing information closer to where it is generated.
ASUS said this approach will support the next era of intelligent computing by helping businesses deploy AI solutions that are scalable, resilient and suited to increasingly diverse real-world applications.
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