{"id":44743,"date":"2026-06-02T05:20:00","date_gmt":"2026-06-02T05:20:00","guid":{"rendered":"http:\/\/www.prnasia.com\/story\/archive\/4973506_AE73506_0"},"modified":"2026-06-02T05:20:00","modified_gmt":"2026-06-02T05:20:00","slug":"asus-adopts-nvidia-dsx-ai-factory-platform-to-accelerate-time-to-first-revenue","status":"publish","type":"post","link":"https:\/\/transmediavictoria.net.au\/?p=44743","title":{"rendered":"ASUS Adopts NVIDIA DSX AI Factory Platform to Accelerate Time to First Revenue"},"content":{"rendered":"\n

Delivering a total AI factory solution from blueprint to deployment, accelerating token generation and enterprise AI adoption<\/p>\n

TAIPEI<\/span>, June 2, 2026<\/span> \/PRNewswire\/ — ASUS today announced its latest AI infrastructure solutions<\/a> showcase at Computex 2026, delivering end-to-end AI factory capabilities in collaboration with ecosystem leaders including NVIDIA, Intel®<\/sup> and AMD. Spanning rack-scale AI factories<\/a> and POD architectures to ultrafast content memory storage solutions and enterprise-ready agentic AI applications, ASUS provides enterprise with a complete foundation for the entire AI lifecycle \u2014 from infrastructure design and deployment to large-scale token generation, inference, and real-world business adoption.<\/p>\n

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ASUS Adopts NVIDIA DSX AI Factory Platform to Accelerate Time to First Revenue<\/span><\/p>\n<\/p><\/div>\n

By providing flexible, tightly integrated solutions across compute, storage, networking, and software, ASUS empowers enterprises to build, deploy, and optimize high-performance AI infrastructure at scale \u2014significantly accelerating time to market while maximizing operational efficiency, cost-effectiveness, and strategic agility in an increasingly AI-driven competitive landscape.<\/p>\n

Accelerating token generation with NVIDIA DSX<\/b><\/p>\n

ASUS is at the forefront of AI infrastructure with the XA VR721-E3, ASUS AI POD<\/a> built on NVIDIA Vera Rubin NVL72, a 100% liquid-cooled<\/a> rack-scale platform purpose-built for trillion-parameter models and next-generation AI factories. To facilitate the deployment of these advanced AI capabilities and leverage the NVIDIA DSX<\/a> platform for token generation, ASUS assists customers to simulate the AI factory blueprints into deployment-ready infrastructure. By integrating ASUS rack-scale AI systems with NVIDIA DSX<\/a> customers can comprehensively evaluate critical deployment factors \u2014 including power delivery, cooling design, networking topology, storage integration, and facility readiness \u2014 before physical buildout commences. This is further enhanced through OpenUSD-based digital-twin workflows, where ASUS and ecosystem partner solutions are represented as simulation-ready assets, enabling customers to accurately anticipate infrastructure requirements and optimize deployment plans in advance.<\/p>\n

Addressing rigorous AI workload demands, ASUS will also showcase systems accelerated by NVIDIA HGX<\/a> Rubin NVL8 and Intel®<\/sup> Xeon®<\/sup> 6 processor, including XA NR1I-E12L<\/a>, an innovative hybrid-cooled option, and XA NR1I-E12LR<\/a>, a 100% liquid-cooled system. The lineup also includes XA NB3I-E12<\/a>, featuring NVIDIA HGX B300, delivering high-performance acceleration for training, inference and simulation. The portfolio is further strengthened by a comprehensive lineup of high-performance, scalable NVIDIA MGX<\/a> servers. Making their debut are XA P8A-E14AXL, a high-density 6U system supporting eight liquid-cooled NVIDIA RTX PRO 6000 Blackwell Server Edition<\/a> GPUs; and XA P4N-E2, a 2U AI server powered by NVIDIA Vera<\/a> C2 processors for next-generation agentic AI systems. ASUS will also showcase its ESC8000 series, including ESC8000-E12P<\/a> and ESC8000A-E13P<\/a>, supporting NVIDIA RTX PRO 6000<\/a> Blackwell and RTX PRO <\/a>4500 Blackwell Server Edition GPUs<\/a> for demanding AI, data processing, video and visual computing workloads, as well as ESC8000A-E13X<\/a>, integrated with NVIDIA ConnectX-8 SuperNICs<\/a> for extreme GPU-to-GPU connectivity.<\/p>\n

For broader enterprise and general-purpose applications, ASUS presents the latest RS700A\/RS720A\/RS500A\/RS520A series servers featuring 6th generation AMD EPYC CPU. Together, these platforms ensure flexible infrastructure options across AI, HPC, virtualization and data-driven workloads, reinforcing the ability of ASUS to support customers from large-scale AI factories to everyday enterprise computing.<\/p>\n

Strengthening context memory and storage for scalable inference<\/b><\/p>\n

As AI workloads evolve toward long-context, multi-turn and agentic workflows, inference context has become a major infrastructure bottleneck. ASUS addresses this with the new CMX\u2122 storage server<\/a>, UF920-E3-RS24, powered by NVIDIA Vera CPU with NVIDIA BlueField-4<\/a> DPU and NVIDIA ConnectX-9 SuperNIC. This platform delivers high-performance KV cache access to accelerate token generation for training, inference and enterprise-scale AI deployments. In collaboration with WEKA and IBM, it offers advanced data management, intelligent services and high-speed storage access, optimizing AI data pipelines and maximizing GPU utilization and overall compute efficiency. This reinforces ASUS as a total AI infrastructure solution provider, delivering integrated compute, storage, networking, and software integration to power enterprise AI at scale.<\/p>\n

Enabling token consumption across enterprise and vertical AI adoption<\/b><\/p>\n

For token consumption, ASUS demonstrates how its total AI infrastructure \u2014 built on scalable NVIDIA MGX architecture, NVIDIA RTX PRO <\/a>S<\/a>ervers<\/a>, NVIDIA Jetson edge computers and enterprise-ready software \u2014 can serve as the foundation for diverse AI adoption across enterprises, SMBs, traditional industries and healthcare. Working with industry innovators and ecosystem partners, ASUS enables customers to turn AI infrastructure into practical, vertical-ready workflows, including:<\/p>\n