ASUS describes integrated AI infrastructure for AI factories

ASUS described an integrated AI infrastructure platform focused on building and operating what it called “AI factories,” combining accelerated computing, deployment validation, AI operations, and AI governance. The company said the approach connects infrastructure engineering and governance across an AI lifecycle.

In the update, ASUS said it worked with NVIDIA and an ecosystem of technology partners, including Aleria, AMD, Crusoe, Foxlink, IBM, Intel, Samsung Electronics, Schneider Electric, and WD. ASUS also stated that its unified platform spans accelerated computing, networking, storage, deployment software, AI operations, and governance.

ASUS said it combined system engineering with the NVIDIA DSX Sim Blueprint to design, simulate, validate, and optimize complete AI factories before physical deployment. It described a unified digital twin environment incorporating compute, networking, storage, power, cooling, and facility infrastructure to identify constraints and reduce deployment risk. It also said governance extends through AI operations via ACC and AIDC and a software stack with tools such as Quota & Billing and an MLOps Portal.

ASUS outlined examples of products for different workloads, including an ASUS AI POD and server platforms built on NVIDIA Vera Rubin NVL72 and NVIDIA HGX Rubin. It also referenced an ASUS XA P2N-E2 for agentic AI, an ASUS ESC8000-E12P for edge and visual computing with NVIDIA RTX PRO GPUs, and storage and object storage solutions for data foundation. “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.

Press release, provided by Cision on behalf of ASUS. Read the original.