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ASUS Adopts NVIDIA DSX AI Factory Platform to Accelerate Time to First Revenue

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ASUS Adopts NVIDIA DSX AI Factory Platform to Accelerate Time to First Revenue
Business

Business

ASUS Adopts NVIDIA DSX AI Factory Platform to Accelerate Time to First Revenue

2026-06-02 13:20 Last Updated At:13:35

Delivering a total AI factory solution from blueprint to deployment, accelerating token generation and enterprise AI adoption

TAIPEI, June 2, 2026 /PRNewswire/ -- ASUS today announced its latest AI infrastructure solutions showcase at Computex 2026, delivering end-to-end AI factory capabilities in collaboration with ecosystem leaders including NVIDIA, Intel® and AMD. Spanning rack-scale AI factories 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 — from infrastructure design and deployment to large-scale token generation, inference, and real-world business adoption.

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 —significantly accelerating time to market while maximizing operational efficiency, cost-effectiveness, and strategic agility in an increasingly AI-driven competitive landscape.

Accelerating token generation with NVIDIA DSX

ASUS is at the forefront of AI infrastructure with the XA VR721-E3, ASUS AI POD built on NVIDIA Vera Rubin NVL72, a 100% liquid-cooled 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 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 customers can comprehensively evaluate critical deployment factors — including power delivery, cooling design, networking topology, storage integration, and facility readiness — 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.

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

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.

Strengthening context memory and storage for scalable inference

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™ storage server, UF920-E3-RS24, powered by NVIDIA Vera CPU with NVIDIA BlueField-4 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.

Enabling token consumption across enterprise and vertical AI adoption

For token consumption, ASUS demonstrates how its total AI infrastructure — built on scalable NVIDIA MGX architecture, NVIDIA RTX PRO Servers, NVIDIA Jetson edge computers and enterprise-ready software — 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:

  • Enterprise AI enablement:ASUS AI Hub with NVIDIA NemoClaw, deployed on ESC8000A-E13X, offers enterprise-level agentic tools to create autonomous AI assistants, support secure on-premises AI workflows and enable seamless knowledge retrieval through a curated library of personalized prompts. Built for scalable internal use, ASUS AI Hub can support role-based assistants such as HR, coding and legal assistants, helping teams streamline knowledge access, improve productivity and conduct preliminary compliance review in a controlled environment.
  • Smart healthcare innovation: ASUS Smart Healthcare Solutions integrates ASUS handheld ultrasound and ASUS VivoWatch technologies with NVIDIA NeMo open libraries, enabling secure on-premises hospital AI workflows through the ASUS Healthcare AI Agent Platform. Through a vertically integrated ecosystem spanning AI computing infrastructure, smart medical devices and healthcare data platform, ASUS delivers a comprehensive one-stop solution for hospitals and healthcare providers, supporting AI-powered clinical decision support and driving medical innovation.

In addition, ASUS collaborates with ecosystem partners such as Dobby DeepAgent Platform and NunoX to expand agentic AI and industry-specific AI adoption across SMB operations and traditional industries. ASUS is taking the NVIDIA supported Yocto project on NVIDIA Jetson to enable customers to customize Linux OS safely and securely. Together, these demonstrations show how ASUS helps customers move from infrastructure readiness to enterprise AI adoption, turning AI factory capabilities into practical value across vertical industries.

Strengthening AI factory operations and long-term scalability

ASUS demonstrates a complete AI infrastructure strategy that spans design, simulate, deployment, operations, management and vertical AI enablement. Empowered by ASUS total infrastructure solutions — from servers and storage to software and professional services — customers can accelerate infrastructure bring-up while addressing the most critical priorities in AI data centers: power efficiency, cooling readiness, system reliability, deployment risk and total cost of ownership. By combining rack-scale AI compute, storage, software services, ASUS helps customers optimize infrastructure from planning to deployment, improve PUE, lower TCO and build scalable AI factories ready to support diverse workloads from data center to edge.

AVAILABILITY & PRICING

ASUS servers are available worldwide. However, the availability of some ASUS products may be subject to local regulatory requirements. For specific product availability and offerings in your region, please contact your local ASUS representative.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

ASUS Adopts NVIDIA DSX AI Factory Platform to Accelerate Time to First Revenue

ASUS Adopts NVIDIA DSX AI Factory Platform to Accelerate Time to First Revenue

  • Arm AGI CPU is designed for maximum efficiency in agentic AI workload orchestration
  • Supermicro rack-scale Arm AGI CPU designs increase agentic AI compute performance density within any power envelope
  • Supermicro's DCBBS capabilities and global manufacturing footprint reduce time-to-online (TTO) for large-scale AI infrastructure deployments

SAN JOSE, Calif. and TAIPEI, June 2, 2026 /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, 5G/Edge total solution provider featuring Data Center Building Block Solutions® (DCBBS), today announced a new class of AI-centric solutions featuring Arm® AGI CPUs. The increasing compute demands of modern agentic AI require a new class of rack-scale infrastructure that maximizes compute performance within the power envelopes and physical footprints of enterprise data centers. Supermicro's new solutions are built to support the rapid growth of agentic AI, delivering performance, efficiency, and density that maximizes the economics of rack-scale deployments backed by Supermicro's, end-to-end DCBBS capabilities reduce time-to-online.

"Supermicro continues to lead the industry when it comes to deploying new and innovative rack-scale solutions that maximize performance and efficiency," said Charles Liang, president and CEO of Supermicro. "Our DCBBS technology stack delivers end-to-end data center solutions of any size, which combined with the new density and efficient performance optimized Arm AGI CPU microarchitecture, helps enterprises realize significant TCO savings on their agentic AI infrastructure investments."

Learn more about the Supermicro Arm server line here.

"Agentic AI is driving a fundamental shift in infrastructure requirements, where efficiency, scalability, and orchestration performance are becoming just as critical as raw compute," said Mohamed Awad, Executive Vice President, Cloud AI Business Unit, Arm. "By combining Arm AGI CPUs with Supermicro's rack-scale system expertise, we're enabling infrastructure designed to deliver higher AI throughput, maximum compute density, and improved data center economics at scale."

Supermicro's new computing platforms consist of air-cooled dual-socket 2U compute-optimized and 5U GPU-optimized rackmount servers, as well as a liquid-cooled multi-node solution designed specifically for rack-scale agentic AI deployments. Combining Supermicro's proven modular, high-density architectures with the energy-efficient Arm Neoverse® CSS V3-based CPUs enables scalable, flexible infrastructure that maximizes performance-per-watt and dramatically lowers energy demand to accelerate AI adoption across modern data centers.

When deployed in Supermicro solutions, the Arm AGI CPU can deliver over 2x performance per rack compared to traditional architectures and help enterprises save up to $10 billion in CAPEX per Gigawatt of AI data center capacity based on Arm's estimates. Building on Supermicro's industry-leading rack density and performance-per-watt, these solutions help ensure maximum utilization of data center space and power resources.

Arm AGI CPU boasts a dense 136-core microarchitecture purpose built for performance, minimizing legacy overhead and completing more work per cycle for sustained, unthrottled performance. 6GB/s memory bandwidth per core and latency-optimized memory access support linear scaling, while expanded memory capacity and flexible I/O provides energy-efficient, scalable agentic AI infrastructure to orchestrate thousands of parallel tasks across distributed infrastructure.

With over 6,000 cores in a single air-cooled rack, enterprises can efficiently deploy numerous dedicated systems for a high volume of agentic AI tasks.

The Supermicro lineup of Arm-based servers includes five models:

2U Hyper Server – Optimized for agentic AI, Cloud, and memory-intensive workloads
https://www.supermicro.com/en/products/system/hyper/2u/ars-222h-nr

  • Two Arm AGI CPUs, up to 136 cores per CPU
  • Up to 6TB of DDR5-8800 MT/s RDIMMs
  • Up to two GPUs

5U GPU Server – GPU-dense configuration for AI training and inference
https://www.supermicro.com/en/products/system/gpu/5u/ars-522gp-nr

  • Two Arm AGI CPUs, up to 136 cores per CPU
  • Up to 6TB of DDR5-8800 MT/s RDIMMs
  • Up to 8 Double Width GPUs

2U4N Liquid-Cooled Server – For OCP ORV3 environment
https://www.supermicro.com/en/products/system/hyper/2-ou/ars-242tp-qnr-lcc

  • Two Arm AGI CPUs per node, up to 136 cores per CPU
  • 4 Nodes in 2-OU potentially up to 20,672 cores per one ORV3 Rack.
  • Up to 6TB of DDR5-8800 MT/s RDIMMs per node

2U Hyper-E Server – Single-socket edge-optimized architecture with front I/O
https://www.supermicro.com/en/products/system/hyper/2u/ars-212he-fnr

  • Single socket Arm AGI CPU, up to 136 cores
  • Up to 3TB of DDR5-8800 MT/s RDIMMs
  • Up to 2 GPUs

1U 4N in an OCP ORW rack – Massive Compute Density

  • ORW - 48U rack
  • 336 Arm AGI CPUs per rack
  • 168 Servers per rack with 45,696 cores per rack

Supermicro continues to lead the industry with its comprehensive portfolio of AI infrastructure solutions, enabling organizations worldwide to deploy scalable, efficient, and environmentally responsible AI data centers.

The latest rack-scale solutions will be on display at the Supermicro booth at Taipei Nangang Exhibition Center Hall 1, 4F, N0602, offering attendees a first-hand look at their design and capabilities.

About Super Micro Computer, Inc.

Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Asia, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names, and trademarks are the property of their respective owners.

 

  • Arm AGI CPU is designed for maximum efficiency in agentic AI workload orchestration
  • Supermicro rack-scale Arm AGI CPU designs increase agentic AI compute performance density within any power envelope
  • Supermicro's DCBBS capabilities and global manufacturing footprint reduce time-to-online (TTO) for large-scale AI infrastructure deployments

SAN JOSE, Calif. and TAIPEI, June 2, 2026 /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, 5G/Edge total solution provider featuring Data Center Building Block Solutions® (DCBBS), today announced a new class of AI-centric solutions featuring Arm® AGI CPUs. The increasing compute demands of modern agentic AI require a new class of rack-scale infrastructure that maximizes compute performance within the power envelopes and physical footprints of enterprise data centers. Supermicro's new solutions are built to support the rapid growth of agentic AI, delivering performance, efficiency, and density that maximizes the economics of rack-scale deployments backed by Supermicro's, end-to-end DCBBS capabilities reduce time-to-online.

"Supermicro continues to lead the industry when it comes to deploying new and innovative rack-scale solutions that maximize performance and efficiency," said Charles Liang, president and CEO of Supermicro. "Our DCBBS technology stack delivers end-to-end data center solutions of any size, which combined with the new density and efficient performance optimized Arm AGI CPU microarchitecture, helps enterprises realize significant TCO savings on their agentic AI infrastructure investments."

Learn more about the Supermicro Arm server line here.

"Agentic AI is driving a fundamental shift in infrastructure requirements, where efficiency, scalability, and orchestration performance are becoming just as critical as raw compute," said Mohamed Awad, Executive Vice President, Cloud AI Business Unit, Arm. "By combining Arm AGI CPUs with Supermicro's rack-scale system expertise, we're enabling infrastructure designed to deliver higher AI throughput, maximum compute density, and improved data center economics at scale."

Supermicro's new computing platforms consist of air-cooled dual-socket 2U compute-optimized and 5U GPU-optimized rackmount servers, as well as a liquid-cooled multi-node solution designed specifically for rack-scale agentic AI deployments. Combining Supermicro's proven modular, high-density architectures with the energy-efficient Arm Neoverse® CSS V3-based CPUs enables scalable, flexible infrastructure that maximizes performance-per-watt and dramatically lowers energy demand to accelerate AI adoption across modern data centers.

When deployed in Supermicro solutions, the Arm AGI CPU can deliver over 2x performance per rack compared to traditional architectures and help enterprises save up to $10 billion in CAPEX per Gigawatt of AI data center capacity based on Arm's estimates. Building on Supermicro's industry-leading rack density and performance-per-watt, these solutions help ensure maximum utilization of data center space and power resources.

Arm AGI CPU boasts a dense 136-core microarchitecture purpose built for performance, minimizing legacy overhead and completing more work per cycle for sustained, unthrottled performance. 6GB/s memory bandwidth per core and latency-optimized memory access support linear scaling, while expanded memory capacity and flexible I/O provides energy-efficient, scalable agentic AI infrastructure to orchestrate thousands of parallel tasks across distributed infrastructure.

With over 6,000 cores in a single air-cooled rack, enterprises can efficiently deploy numerous dedicated systems for a high volume of agentic AI tasks.

The Supermicro lineup of Arm-based servers includes five models:

2U Hyper Server – Optimized for agentic AI, Cloud, and memory-intensive workloads
https://www.supermicro.com/en/products/system/hyper/2u/ars-222h-nr

  • Two Arm AGI CPUs, up to 136 cores per CPU
  • Up to 6TB of DDR5-8800 MT/s RDIMMs
  • Up to two GPUs

5U GPU Server – GPU-dense configuration for AI training and inference
https://www.supermicro.com/en/products/system/gpu/5u/ars-522gp-nr

  • Two Arm AGI CPUs, up to 136 cores per CPU
  • Up to 6TB of DDR5-8800 MT/s RDIMMs
  • Up to 8 Double Width GPUs

2U4N Liquid-Cooled Server – For OCP ORV3 environment
https://www.supermicro.com/en/products/system/hyper/2-ou/ars-242tp-qnr-lcc

  • Two Arm AGI CPUs per node, up to 136 cores per CPU
  • 4 Nodes in 2-OU potentially up to 20,672 cores per one ORV3 Rack.
  • Up to 6TB of DDR5-8800 MT/s RDIMMs per node

2U Hyper-E Server – Single-socket edge-optimized architecture with front I/O
https://www.supermicro.com/en/products/system/hyper/2u/ars-212he-fnr

  • Single socket Arm AGI CPU, up to 136 cores
  • Up to 3TB of DDR5-8800 MT/s RDIMMs
  • Up to 2 GPUs

1U 4N in an OCP ORW rack – Massive Compute Density

  • ORW - 48U rack
  • 336 Arm AGI CPUs per rack
  • 168 Servers per rack with 45,696 cores per rack

Supermicro continues to lead the industry with its comprehensive portfolio of AI infrastructure solutions, enabling organizations worldwide to deploy scalable, efficient, and environmentally responsible AI data centers.

The latest rack-scale solutions will be on display at the Supermicro booth at Taipei Nangang Exhibition Center Hall 1, 4F, N0602, offering attendees a first-hand look at their design and capabilities.

About Super Micro Computer, Inc.

Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Asia, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names, and trademarks are the property of their respective owners.

 

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Supermicro Collaborates with Arm to Deliver a New Class of Energy-Efficient Rack-Scale Infrastructure for Enterprise Agentic AI

Supermicro Collaborates with Arm to Deliver a New Class of Energy-Efficient Rack-Scale Infrastructure for Enterprise Agentic AI

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