• Supermicro’s advanced GPU and storage architectures form the backbone of seven next-generation AI Data Platform solutions.
• Built with industry leaders including Cloudian, DDN, Everpure (formerly Pure Storage), IBM, Nutanix, VAST Data, and WEKA to deliver fully integrated, enterprise-ready AI infrastructure.
• Purpose-built AI Data Platforms unlock the full value of enterprise data — accelerating insight, automation, and intelligent transformation at scale.

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, today announced seven fully integrated AI Data Platform solutions designed to accelerate enterprise AI adoption. Built on NVIDIA reference architectures and powered by Supermicro’s high-performance GPU and storage systems, the platforms leverage NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and the new NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPUs, NVIDIA Spectrum-X Ethernet networking, and enterprise AI software including NVIDIA NIM microservices and NVIDIA NeMo, to enable advanced AI agents.

Supermicro AI Data Platform Solutions

“Supermicro is bringing together the industry’s most advanced GPU, storage, and networking technologies to deliver fully integrated AI Data Platforms to the enterprise and cloud,” said Charles Liang, president and CEO of Supermicro. “By combining our Data Center Building Block Solutions^®, rack-scale integration expertise, and advanced cooling innovations with leading ecosystem partners, we are making AI deployment faster, more efficient, and truly turnkey to accelerate enterprise AI adoption worldwide.”

For more information about the new Supermicro AI Data Platform solution please visit:  www.supermicro.com/aifactory

Developed in collaboration with leading data platform innovators Cloudian, DDN, Everpure, IBM, Nutanix, VAST Data, and WEKA, these purpose-built solutions unify compute, networking, storage, and AI software into turnkey platforms that help enterprises rapidly transform data into intelligent action at scale.

“Meeting the inference demands of advanced AI workloads require full-stack infrastructure that unifies compute, networking and storage,” said Jason Hardy, vice president, Storage Technologies, NVIDIA. “By building upon the NVIDIA AI Data Platform reference architectures, Supermicro and its partners are delivering turnkey AI Data Platforms that put enterprise data to work for AI.”

Cloudian

“Every AI initiative lives or dies on its data infrastructure,” said Amit Rawlani, Senior Director of Alliances at Cloudian. “With Cloudian HyperScale® AIDP, we’re bringing GPU-based compute directly to enterprise data. Leveraging best-of-breed compute, networking, and storage nodes from partners like Supermicro, the platform delivers a tightly integrated solution that enables organizations to manage massive datasets and run AI workloads at scale, from training to real-time inference.”

DDN

“AI factories require purpose-built compute and data platforms architected for measurable business outcomes,” said Sven Oehme, CTO at DDN. “Building on our long-standing collaboration, Supermicro, NVIDIA, and DDN are launching Driving AI Breakthroughs—a joint mobile AI Factory debuting at GTC and traveling nationwide. Featuring production-ready AI pipelines running on turnkey HyperPOD and AI factory systems, it gives enterprises a proven path from pilots to scalable, ROI-driven AI.”

Everpure

“Enterprise AI depends on data that is ready for AI consumption,” said Kaycee Lai, Vice President, AI, Everpure. “By collaborating with Supermicro, we bring Everpure’s enterprise data platform and our Data Stream software together with GPU-optimized infrastructure to deliver an integrated AI Data Platform that keeps GPUs fed, reduces operational complexity, and helps enterprises move from pilot to production faster.”

IBM

“Enterprise AI is only as powerful as the infrastructure behind it, and IBM Storage Scale on Supermicro Petascale Storage Servers deliver high-throughput, low-latency parallel data access that supports enterprises deploying NVIDIA AI Data Platform at scale,” said Sam Werner, GM Storage, IBM. “IBM Storage Scale automatically extracts semantic meaning from unstructured enterprise data, detecting changes in real time, and keeps data within NVIDIA AI Data Platform updated without costly data duplication. Together with Supermicro, we are giving enterprises a fully integrated platform that turns existing data estates into a secured, AI-ready intelligence layer — to reduce hallucinations, accelerate time to insight, and make inference at enterprise scale production-ready.”

Nutanix

“The Nutanix Agentic AI solution includes the integration of the Nutanix AHV hypervisor, the open Nutanix Kubernetes Platform, Nutanix Unified Storage, and new technologies that will include the Nutanix AI Gateway,” said Thomas Cornely, Executive Vice President, Product Management, Nutanix. “This solution, following a deployment model similar to the Nutanix NX platform, runs on a variety of specialized servers designed and built by Supermicro, along with the integration of supported NVIDIA’s software libraries, allowing enterprises to deploy and secure sovereign Agentic AI initiatives.”

VAST Data

“Our collaboration with Supermicro continues to push the boundaries of production AI infrastructure,” said John Mao, Vice President, Global Technology Alliances, at VAST Data. “The CNode-X AI Data Platform, powered by the VAST AI Operating System, builds on the success of large-scale EBox deployments to deliver the performance, resilience, and operational simplicity enterprises require to power next-generation AI applications and accelerate real-world outcomes.”

WEKA

“Enterprises are under pressure to deploy AI fast, and that means infrastructure can’t be an obstacle,” said Ajay Singh, Chief Product Officer at WEKA. “By combining NeuralMesh™ by WEKA with Supermicro’s advanced GPU and rack-scale systems, we’re giving organizations a foundation that doesn’t just support AI workloads today but grows stronger as those workloads scale. That’s how enterprises can move from data to intelligent action without the friction of piecing together infrastructure themselves.”

These solutions will be shown in the Supermicro booth #1113 at the NVIDIA GPU Technology Conference (GTC) March 16-19.

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.

Expanded architecture lets businesses run AI at scale, from central data centers to the factory floor, without sacrificing performance or security

NEWS SUMMARY:

• Cisco expands its Secure AI Factory with NVIDIA to work not just in large data centers, but at local edge sites where real-time decisions can’t wait, from hospitals and warehouses to moving vehicles.
• Cisco is the premier partner to deliver partner-developed systems featuring NVIDIA Spectrum-X switch silicon paired with a Cisco operating system, providing customers the flexibility of leveraging both NVIDIA Cloud Partner-compliant reference architectures and Cisco Silicon One-based architectures.
• Cisco adds deeper security capabilities to its reference architecture by extending Hybrid Mesh Firewall policy enforcement to NVIDIA BlueField DPUs and integrating Cisco AI Defense to secure multi-agent systems.
• Cisco AI Defense will support and secure NVIDIA’s new open agent development platform, OpenShell, adding controls and guardrails to govern agent and claw actions.

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — Cisco (NASDAQ: CSCO) today announced a major expansion of its Secure AI Factory with NVIDIA, giving customers a framework for deploying AI across their entire infrastructure – from central data center to local sites where data is created and decisions are made.  Enterprises, neoclouds, sovereign clouds, and service providers can now move AI from pilot to full-scale production without stitching together disconnected systems, compressing deployment timelines from months to weeks and embedding security from the start.

“Most organizations understand the potential for AI to transform their businesses, but they’re navigating how to deploy the technology safely and at scale,” said Chuck Robbins, Chair and CEO, Cisco. “In partnership with NVIDIA, we’re solving that challenge with an architecture that sets a new standard for performance – making it simpler to deploy, operate, and secure AI infrastructure.”

“AI factories are transforming every industry, and security must be built into every layer—from silicon to software—to protect data, applications, and infrastructure,” said Jensen Huang, founder and CEO of NVIDIA. “Together, NVIDIA and Cisco are building the secure foundation for AI infrastructure—core to edge—so companies can scale intelligence with confidence.”

AI That Runs Everywhere, Not Just in the Data Center

AI inference happens where data lives and decisions can’t wait, whether on the hospital floor or for analyzing video of a factory floor in real-time to keep workers safe. This reality fundamentally reshapes infrastructure by requiring inference workloads to operate locally — closer to the data, the devices, and the moment a decision must be made. Cisco and NVIDIA are enabling organizations to support edge inferencing use cases by:

• Transforming the Enterprise Edge: Now supporting NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPUs across the Cisco UCS and Cisco Unified Edge portfolios, Cisco enables enterprises to run mission-critical AI workloads at the edge without the energy cost and footprint of data center-scale hardware.
• Transforming the Service Provider Edge: Today Cisco announces the Cisco AI Grid with NVIDIA reference design that combines the power of Cisco’s Mobility Services Platform with NVIDIA RTX PRO Blackwell Series GPUs. This enables service providers to leverage their existing networks to offer managed services for edge AI applications with carrier-grade reliability and sovereignty.

Driving Performance and Efficiency for Massive-Scale AI Factories

Building on the momentum of the recently launched systems powered by Cisco Silicon One G300 for scale-out and P200 for scale-across, Cisco continues to raise the performance ceiling while making the whole process faster and simpler.

• Next-Generation Performance: Cisco’s latest high-speed switches power the most demanding AI workloads, including a new 102.4Tbps Cisco N9100 powered by NVIDIA Spectrum-6 Ethernet switch silicon. This joins the now generally available 800G N9100 powered by NVIDIA Spectrum-4 Ethernet switch silicon.
• Rapid Deployment:Cisco Nexus Hyperfabric, now a part of Cisco Nexus One, will support Cisco N9000 Series switches, including the N9100 Series powered by NVIDIA Spectrum-X Ethernet silicon. Now organizations can transform a complex, multi-vendor integration puzzle into a simple, full-stack solution to cut deployment times and reduce the burden on IT.

Customers building large AI factories now have two validated paths to choose from: an AI factory based on a reference architecture compliant with the NVIDIA Cloud Partner (NCP) program, and a Cisco Cloud Reference Architecture built on Cisco Silicon One that adheres to the same design tenets.

Security Fused into Every Layer

In an era where AI models are high-value assets and agents are more autonomous, taking actions, making decisions and interacting with other agents – security can’t be an afterthought. Cisco is embedding protection into the fabric of the Secure AI Factory with NVIDIA to safeguard against both external threats and rogue agent behavior, including:

• Securing AI infrastructure: AI is only as safe as the hardware running it – and attackers know it. Cisco Hybrid Mesh Firewall delivers consistent security policies across a diverse set of enforcement points: network switches, workload agents, and more. Greater coverage means fewer gaps for attackers to exploit. Today, Cisco is extending the Cisco Hybrid Mesh Firewall solution to enable policy enforcement on NVIDIA BlueField data processing units (DPUs) embedded in NVIDIA GPU servers connected to Cisco Nexus One fabrics. Threats are blocked at the server level before they ever reach an organization’s data.  The result: AI workloads that can be protected from the inside out, with zero performance trade-off.
• Securing AI agents:Cisco AI Defense delivers model security, automated vulnerability testing, and now purpose-built guardrails for AI agents at the edge through integration with NVIDIA NeMo Guardrails, a part of NVIDIA AI Enterprise software. This helps AI developers and security teams stay ahead of emerging threats and maintain trust in AI. AI deployments are becoming increasingly distributed, with agents at edge locations often interacting with those at the core to accomplish tasks and execute workflows. AI Defense, as a part of the Cisco Secure AI Factory with NVIDIA, now extends to securing those agent-to-agent interactions.

Cisco Secures Enterprise AI Agent Development

Building on Cisco’s commitment to fuse security into all layers of AI infrastructure, as well as the agentic workforce, Cisco also announced today that Cisco AI Defense will support and secure NVIDIA’s OpenShell runtimes – part of the NVIDIA Agent Toolkit – adding controls and guardrails to govern agent and claw actions. By continuously monitoring and validating every tool and action an agent performs, Cisco AI Defense ensures that enterprises can confidently deploy AI agents to manage critical workflows without compromising security. This integration bridges the gap between innovation and risk, allowing organizations to trust their autonomous systems to operate reliably and securely.

Industry Reactions:
“As a leader in high-performance computing solutions, Cirrascale is thrilled by the introduction of new NVIDIA Spectrum-6 based Cisco’s N9100 series switches, extending Cisco’s NCP reference architecture-compliant portfolio with an impressive 102.4T capacity and a unified management plane through Nexus One. These innovations, combined with the flexibility of NX-OS and SONiC, enable us to scale our AI infrastructure seamlessly while maintaining operational simplicity. The availability of the 51.2T Spectrum-4 switch further enhances our ability to deliver cutting-edge AI solutions to our clients with unmatched performance and reliability.”
– Alex Nataros, CTO, Cirrascale Cloud Services

“Sharon AI looks forward to the Cisco’s N9100 series switches, offering 102.4T capacity with Nexus One’s cloud-managed Nexus Hyperfabric. With NCP RA compliance and the 51.2T Spectrum-4 based N9100 switch availability, we will be scaling our AI infrastructure with robust performance and efficiency. The G300 Silicon One-based N9300 switches provide the flexibility to meet evolving customer needs. Turnkey AI infrastructure deployment through Nexus One significantly simplifies operations and accelerates time-to-value for our initiatives.”
– Andrew Leece, COO and founder, Sharon AI

“World Wide Technology’s clients trust Cisco for enterprise networking. Their robust AI networking portfolio extends that trust to AI workloads. Cisco’s portfolio offers choice and flexibility to clients to build tailored AI infrastructure using Cisco Silicon One and NVIDIA Spectrum-X Ethernet switch silicon based switches with stellar performance up to 102.4Tbps running NX-OS or SONiC and unified by the Nexus One management plane. We’re excited about these advancements to deliver the scalability and performance required for the agentic era.”
– Jeff Fonke, Practice Director – Global Solutions & Architecture, World Wide Technology

“As organizations move beyond the experimentation phase of AI, the primary challenge has shifted from ‘what can AI do’ to ‘how do we operationalize it securely at scale.’ The industry is at a critical inflection point where AI workloads — specifically real-time inferencing —must move closer to the data at the edge without creating new security or infrastructure silos. The partnership between Cisco and NVIDIA is designed to offer customers the flexibility and choice they need to scale while helping them overcome complex integration challenges.”
 – Mary Johnston Turner, Global Lead, Digital and Datacenter Infrastructure and Services, IDC

Additional Resources

• For more information on the Cisco Secure AI Factory with NVIDIA, click here
• Executive Blog Post: Cisco Secure AI Factory: Powering Agentic AI at Scale
• Blog Post: Cisco Gives its Secure AI Factory with NVIDIA a Secure Multi-Agent Edge Up
• Blog Post: Securing Enterprise Agents with NVIDIA OpenShell and Cisco AI Defense

About Cisco
Cisco (NASDAQ: CSCO) is the worldwide technology leader revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry-leading AI-powered solutions and services, Cisco enables its customers, partners, and communities to unlock innovation, enhance productivity, and strengthen digital resilience. Discover more on The Newsroom and follow us on X at @Cisco.

Disclaimer:  Many of the products and features described herein remain in varying stages of development and will be offered on a when-and-if-available basis. The delivery timeline of these products and features is subject to change at the sole discretion of Cisco, and Cisco will have no liability for delay in the delivery or failure to deliver any of the products or features set forth herein.

Seven winners of a public vote for favorite organizations honored with crystal People’s Choice Stevie Award trophies.

FAIRFAX, Va., March 16, 2026 /PRNewswire/ — The Stevie® Awards, organizer of the world’s premier business awards programs, announced winners of seven People’s Choice Stevie® Award trophies in the 13th annual Asia-Pacific Stevie Awards, the only awards program to recognize innovation in the workplace throughout the Asia-Pacific region.

The People’s Choice Stevie Awards for Favorite Companies, a long-time feature of several Stevie Awards programs, was introduced to the Asia-Pacific Stevie Awards in 2023. All winning organizations and nominees in the Company/Organization categories in the 2026 competition were automatically included in voting for the People’s Choice Awards. Voting was conducted from 16 February through 13 March, with the highest number of votes determining the winners in several industry categories. More than 35,000 votes were cast this year by members of the general public worldwide.

Each People’s Choice winner received at least 100 votes, the minimum number required to be eligible to win.

The winners of the 2026 People’s Choice Stevie Awards for Favorite Companies are:

Business Products & Services: Just Right Parking Co., Ltd., Taiwan

Education: Megaworld Foundation, Inc., the Philippines

Healthcare Industries: SANAME, Australia

Startups: Garasi Travel (PT GARA Indonesia Group), Indonesia

Tech Startups: Deegenics Pvt. Ltd., Sri Lanka

Technology Industries: ASRock Inc., Taiwan

All Other Industries: Quezon City Business Permits and Licensing Department, the Philippines

These honorees will receive crystal People’s Choice Stevie Award trophies.

The 2026 Asia-Pacific Stevie Awards have recognized organizations in 23 markets, including Australia, Bangladesh, Cambodia, China, France, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, Maldives, Myanmar, New Zealand, Pakistan, Philippines, Saudi Arabia, Singapore, Sri Lanka, Taiwan, Thailand, United States, and Vietnam. More than 1,000 nominations about innovative achievements were considered by the judges this year.

Gold, Silver, and Bronze Stevie Award winners in various categories were announced on 12 February. Those awards were determined by the average scores of more than 250 executives worldwide acting as judges. Five Grand (“best of show”) Stevie Award winners were announced on 24 February.

Winners in attendance will be celebrated on stage during a gala event at the Venetian Hotel in Macau, China, on Friday, 17 April.

The 2027 Asia-Pacific Stevie Awards will begin accepting nominations this October. Sign up to get the entry kit at https://Asia.StevieAwards.com.

PR Newswire Asia is the official news release distribution partner of the 2026 Asia-Pacific Stevie Awards.

adobo magazine is the official Creative Media Partner of the 2026 Asia-Pacific Stevie Awards.

Advancements across GPU-native data analytics, unstructured data extraction, on-premises and cloud infrastructure, Nestlé global supply chain decision speed, and consulting to mobilize enterprise AI at scale

ARMONK, N.Y., March 17, 2026 /PRNewswire/ — IBM (NYSE: IBM) today announced at GTC 2026 an expanded collaboration with NVIDIA to help enterprises operationalize AI at scale. Advancing efforts across GPU-native data analytics, intelligent document processing, on-premises and regulated infrastructure deployments, cloud, and consulting, the collaboration aims to give enterprises the data foundation, infrastructure, and expertise to move AI from pilot to production.

IBM Corporation logo.

Enterprises are making significant investments in AI, but too many remain stuck between experimentation and production at scale. The barriers are consistent: data is fragmented and difficult to access; infrastructure wasn’t built for advanced AI workloads; AI deployments don’t support the compliance and residency requirements of regulated industries; and many organizations still need the guided expertise to implement and deploy the technologies.  Today’s announcements from IBM and NVIDIA are designed to close these gaps.

“In the next wave of enterprise AI, the model layer will rely on the data, infrastructure, and orchestration layers – and on businesses that can bring all three together,” said Arvind Krishna, Chairman and CEO, IBM. “Our partnership with NVIDIA goes to the heart of that challenge. Together, we’re giving enterprises the solutions they need to stop experimenting with AI and start running on it.”

“IBM pioneered enterprise computing and data processing six decades ago — and today they are redefining it for the AI era,” said Jensen Huang, founder and CEO of NVIDIA. “Data is the ground truth that gives AI context and meaning. Together with IBM, we are bringing CUDA GPU acceleration directly into the data layer — turning analytics and document processing from bottlenecks into real-time intelligence engines.”

Accelerating Structured Data Analytics with GPU-Native Computing
IBM and NVIDIA are collaborating on an open-source integration to increase performance and reduce costs around how enterprises extract intelligence from their massive datasets. IBM watsonx.data’s SQL engine Presto is accelerated by NVIDIA cuDF to enable faster query execution on large datasets.

To validate in production, IBM and NVIDIA applied GPU-accelerated watsonx.data to Nestlé’s Order-to-Cash data mart. The data mart tracks every order, fulfillment, delivery, and invoice across 186 countries and processes terabytes across 44 tables. Nestlé was ideal for this proof of concept because of its strong digital backbone. With globally unified data models, a consolidated data foundation, and a single source of truth across markets, Nestlé already had timely, accurate, and trusted data at scale — the right foundation to put GPU-accelerated analytics to the test in a real production environment.

On CPUs, a single refresh previously took Nestlé 15 minutes and only ran a handful of times a day. Nestlé reports that with NVIDIA’s software and GPUs, the IBM watsonx.data Presto engine reduced query runtime down to three minutes – achieving 83% cost savings and an overall 30X price-performance improvement.

“For a company that serves billions, data underpins decision making across our global operations,” said Chris Wright, Chief Information and Digital Officer of Nestlé. “Working with IBM and NVIDIA, a targeted proof of concept has demonstrated the ability to refresh global operations data in a few minutes and at reduced cost. Our focus now is on turning this capability into tangible business impact — further improving decision speed in areas such as manufacturing and warehousing, and scaling these capabilities across our enterprise.”

Helping Enterprises Unlock the Full Value of Their Data
Most enterprises aren’t lacking data. But often, they’re unable to access and use it. SharePoint sites, CMS systems, vendor research, SME knowledge: the information exists but it is trapped in unstructured, multi-modal formats that are difficult to extract, standardize, and trust at decision speed.

IBM and NVIDIA are addressing this with Docling from IBM and NVIDIA Nemotron open models – a combination designed to make intelligent document extraction available at enterprise scale. Docling standardizes and converts documents into AI-ready formats with source-level traceability, while NVIDIA Nemotron models accelerate ingestion of multi-modal content. Early results show significantly higher throughput compared to other open-source models, while maintaining or improving accuracy wherever GPU-accelerated infrastructure is available.

GPU-Optimized Infrastructure for On-Prem and Regulated Deployments
IBM and NVIDIA are extending their data efforts to the infrastructure layer. NVIDIA has selected IBM Storage Scale System 6000 to provide 10PB of high-performance storage to serve massive data for its GPU-native advanced analytics engines, pairing IBM’s unified data access layer and massive parallel throughput with NVIDIA’s GPU pipelines. IBM Storage Scale 6000 is certified and validated on NVIDIA DGX platforms.¹

For enterprises and governments requiring data residency and regulatory control, IBM and NVIDIA are exploring the integration of IBM Sovereign Core and NVIDIA infrastructure and NVIDIA Nemotron models that would focus on enabling GPU-intensive AI workloads that run entirely within regional boundaries – without compromising governance or compliance.

Advancing the Enterprise AI Stack with IBM, NVIDIA and Red Hat
IBM and NVIDIA are also deepening their partnership across cloud and enterprise consulting to advance clients’ enterprise AI adoption. IBM plans to offer NVIDIA Blackwell Ultra GPUs on IBM Cloud in early Q2 2026 for large-scale training, high-throughput inferencing, and AI reasoning. This technology will also be integrated across Red Hat AI Factory with NVIDIA, and VPC servers with enterprise-grade compliance and data residency controls.

Additionally, IBM Consulting plans to bring Red Hat AI Factory with NVIDIA to clients through IBM Consulting Advantage – an IBM enterprise AI platform that helps clients build and scale AI across their technology environments. Combined with Red Hat AI Factory with NVIDIA, the platform is built to simplify how companies prepare data, build models, and deploy AI, while also enhancing performance and oversight. This builds on IBM Consulting’s broader efforts to help clients maximize outputs from their AI investments.

Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service.

Visit www.ibm.com for more information.

Media contacts:

Sarah Benchaita
Software Communications, IBM
sarah.benchaita@ibm.com

Bethany McCarthy
Infrastructure Communications, IBM
bethany@ibm.com

¹ IBM Storage Scale System 6000 is NVIDIA-Certified Storage

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — MSI today announced the launch of XpertStation WS300 on NVIDIA DGX Station Architecture, a next-generation deskside AI supercomputer built to support the accelerating demands of large language models (LLMs), generative AI, and advanced data science workflows. Powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, supporting up to 748GB of large coherent memory and dual 400GbE networking, the platform extends advanced AI infrastructure capabilities into a compact deskside deployment model and is available for order starting today.

“MSI has a strategic vision to advance AI-first computing,” said Danny Hsu, General Manager of MSI’s Enterprise Platform Solutions. “With NVIDIA, we are defining the next era of AI infrastructure, bridging centralized performance and distributed innovation, and enabling organizations to move from experimentation to production with greater speed, scale, and confidence.”

Bringing Data-Center AI to the Desktop
XpertStation WS300 integrates up to 748GB of large coherent memory, combining high-bandwidth HBM3e GPU memory and LPDDR5X CPU memory into a unified domain to enable efficient CPU-GPU data sharing for large-scale model training and fine-tuning.

With dual 400GbE connectivity powered by NVIDIA ConnectX-8 SuperNIC, the platform delivers up to 800Gb/s of aggregate networking bandwidth to support distributed AI workloads and multi-node scalability. High-speed PCIe Gen5 and Gen6 NVMe storage accelerates dataset ingestion and AI data pipelines, ensuring sustained compute utilization during intensive training and inference operations. Combined with full support for NVIDIA AI Software Stack, the platform provides an integrated hardware-software foundation for seamless AI development and deployment from desktop to data center.

Expanding AI Workflows from Development to Deployment
XpertStation WS300 supports the full AI lifecycle, from large-scale model training and data-intensive analytics to real-time inference and emerging physical AI and robotics workloads. The platform enables organizations to accelerate deep learning models, process massive datasets efficiently, and execute complex AI workloads locally with high-throughput performance.

The system can also function as a centralized AI compute node for collaborative fine-tuning and on-demand deployment, providing teams greater operational flexibility while maintaining control over proprietary data and intellectual property.

By extending data-center-class performance to the deskside, XpertStation WS300 allows organizations to move AI initiatives from experimentation to production with infrastructure-level consistency and reliability.

Supporting Autonomous AI Agents
NVIDIA NemoClaw is an open-source stack installing OpenShell runtime with a policy-controlled sandbox that enables autonomous AI agents to operate continuously more safely. Running OpenShell on XpertStation WS300, developers can run trillion-parameter models locally with up to 20 petaFLOPS of AI compute and 748GB of memory, enabling always-on AI agents at the deskside without relying on cloud infrastructure.

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — PEGATRON, a globally recognized total server solutions provider, will showcase its latest AI infrastructure platforms at NVIDIA GTC 2026. Powered by NVIDIA Vera Rubin NVL72, NVIDIA HGX Rubin NVL8, and NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs, these platforms deliver breakthrough performance, rack-scale integration, and liquid-cooled efficiency for hyperscale and enterprise AI deployments.

NVIDIA Vera Rubin NVL72 Rack-Scale AI Supercomputer

The Pegatron RA4803-72N3, powered by NVIDIA Vera Rubin NVL72, is a liquid-cooled rack-scale AI supercomputer designed for next-generation workloads. Integrating 72 NVIDIA Rubin GPUs, 36 NVIDIA Vera CPUs, NVIDIA NVLink 6 scale-up networking, NVIDIA ConnectX-9 SuperNICs, NVIDIA BlueField-4 DPUs, and NVIDIA Spectrum-X Ethernet networking, the solution delivers 3.6 EFLOPS inference performance, 260 TB/s bandwidth, and 20.7 TB HBM4 memory. Compared with NVIDIA Blackwell architecture, it trains mixture-of-experts models using one-fourth the GPUs, reduces inference costs by up to 10X, and achieves 5X higher throughput—dramatically improving performance per watt, lowering footprint, and optimizing total cost of ownership for AI factories.

Powering Rack-Scale AI with Up to 9 HGX Rubin NVL8 Systems

The Pegatron AS210-2T1-8H3 is a 2U liquid-cooled server based on NVIDIA HGX Rubin NVL8 and dual Intel Xeon 6 processors, designed to accelerate enterprise AI workloads. Leveraging NVIDIA Rubin GPUs, NVLink 6, ConnectX-9 SuperNICs, BlueField-4 DPUs, and Spectrum-X Ethernet networking, it delivers optimized AI and HPC performance. Scaling up to rack-level AI infrastructure, the RA4800-64H3 and RA4800-72H3 deliver ultra-high-density performance in liquid-cooled rack architectures. The RA4800-64H3 integrates eight 2U systems per rack, supporting up to 64 NVIDIA HGX Rubin GPUs and 16 Intel Xeon 6 processors, while the RA4800-72H3 integrates up to nine 2U systems in a 48U rack—scaling to 72 GPUs and 18 CPUs to enable unprecedented compute density and faster time-to-insights for large-scale AI workloads.

NVIDIA RTX PRO 6000 and NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPUs for AI and Digital Workloads

Pegatron’s servers powered by NVIDIA RTX PRO Blackwell Server Edition GPUs enable generative AI, data processing, simulation, and visualization workloads with exceptional efficiency.

The MS303-2A1G-P60 supports up to four liquid-cooled NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and dual AMD EPYC™ 9005 processors. Featuring ultra-fast 96GB GDDR7 memory, it delivers high-density, multi-workload performance and reliability for mission-critical deployments.

Complementing this platform, the AS205-2T1 supports up to four NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs with fifth-generation Tensor Cores and 32GB GDDR7 memory in a single-slot form factor, along with dual Intel Xeon 6 processors. This power-efficient design provides scalable, cost-effective AI acceleration for enterprise and edge applications.

“Building AI factories requires more than powerful hardware—it demands deep system integration expertise and execution at scale,” said Dr. James Shue, SVP & CTO of Pegatron. “With the launch of our platforms powered by NVIDIA Vera Rubin NVL72 and NVIDIA HGX Rubin NVL8, combined with proven deployment capabilities, Pegatron enables customers to move from infrastructure build-out to AI production faster, more efficiently, and with greater operational confidence.”

Explore the Next Generation of AI

Visit Pegatron Booth #830 at NVIDIA GTC 2026 to discover how integrated rack-scale systems, liquid cooling innovation, and factory-scale manufacturing are powering the next wave of AI infrastructure.

For more information, please visit PEGATRON SVR website and follow us on LinkedIn and YouTube.

https://svr.pegatroncorp.com 

https://www.linkedin.com/showcase/pegatron-svr

https://www.youtube.com/@PEGATRONSVR 

About PEGATRON

PEGATRON Corporation (hereafter referred to as “PEGATRON”), with abundant product development experience and vertically integrated manufacturing, is committed to providing clients with innovative design, systematic production, and manufacturing services to comprehensively and efficiently satisfy all our customers’ needs.

Drawing on accumulated experience in server design, manufacturing, and deployment, Pegatron focuses on developing a variety of state-of-the-art servers including liquid-cooled/air-cooled server solutions based on x86 and ARM architectures, racks, and AI clusters, that meet the requirements of present and future Cloud Service Providers’ data centers, as well as enterprise-grade data centers.

• Strategic collaboration combines Hyundai Motor Group’s Software-Defined Vehicle expertise with NVIDIA’s AI to accelerate data-driven autonomous vehicle development
• Expanded partnership positions Hyundai Motor Group as an autonomous driving ecosystem leader with scalable deployment strategy for Level 2 and above systems
• Collaboration to deploy safe, scalable autonomous driving across Hyundai Motor Group select vehicles and Motional robotaxi services

SEOUL, South Korea, March 17, 2026 /PRNewswire/ — Hyundai Motor Company and Kia Corporation announced today an expanded strategic partnership with NVIDIA to advance autonomous driving technology development. This broadened framework aims to drive the activation of the future autonomous vehicle ecosystem in the rapidly evolving global software-defined vehicle (SDV) and autonomous driving markets.

Under this collaboration, Hyundai Motor, Kia, and NVIDIA will combine Hyundai Motor Group’s proven SDV capabilities with NVIDIA’s industry-leading autonomous driving technology to create next-generation autonomous driving solutions.

Hyundai Motor Group – grounded in its customer-centric philosophy of quality and safety – will integrate NVIDIA’s autonomous driving technology of Level 2 and above in select vehicle models. This integration will enhance customer safety and convenience, positioning Hyundai Motor Group at the forefront of AI-defined driving.

Through its autonomous vehicle joint venture Motional, Hyundai Motor Group will advance discussions with NVIDIA to leverage new technologies in support of further advancements to its Level 4 robotaxi capabilities, while accelerating technology and service capability. This partnership represents a key milestone in Hyundai Motor Group’s commitment to safe and reliable autonomous driving technology implementation.

This partnership is a strategic step for Hyundai Motor Group to accelerate the internalization of its proprietary driving AI, with data as the central driver. In the autonomous driving domain, competitive advantage is determined by both the excellence of foundation models and platforms and the continuous ability to generate and learn from high-quality, real-world driving data at scale. As Hyundai Motor and Kia continuously train their models using data collected under real-world driving conditions, Hyundai Motor Group is positioned to significantly strengthen its autonomous driving capabilities, including the development of proprietary AI models.

Hyundai Motor Group will leverage NVIDIA’s expansive data platforms and AI technologies while systematically integrating all accumulated data into a unified learning pipeline. This strategic approach will enhance autonomous driving development maturity, enabling Hyundai Motor Group to respond comprehensively to market dynamics while accelerating the internalization of data-driven autonomous driving technology.

Building on the NVIDIA DRIVE Hyperion platform, Hyundai Motor Group will establish an integrated autonomous driving architecture scalable from Level 2 through to Level 4. Through the convergence of its in-house developed SDV architecture with NVIDIA DRIVE Hyperion, Hyundai Motor Group aims to launch a data cycle of continuous improvement encompassing:

• Real-world driving data collection across Hyundai Motor Group’s vehicle fleet
• AI model training and continuous performance improvement
• Deployment and validation in production vehicles

Hyundai Motor Group, including Motional, aims to fully internalize state-of-the-art autonomous driving technology and will simultaneously advance its internal autonomous driving technology development initiatives in parallel, ensuring continuous enhancement and strengthening its flexible global response capabilities.

“The expanded partnership with NVIDIA marks an important milestone in realizing Hyundai Motor Group’s vision for safe and reliable autonomous driving technology. Based on a unified, Group‑wide collaborative framework, we will strengthen our differentiated technological competitiveness — from Level 2 and above autonomous driving technology to Level 4 robotaxi services.” – Heung-Soo Kim, Executive Vice President and Head of Global Strategy Office of Hyundai Motor Group.

“The future of mobility will be built on AI and software. We’re combining Hyundai Motor Group’s leadership in vehicle engineering with NVIDIA’s accelerated computing and AI to build safe, intelligent, NVIDIA DRIVE-based autonomous driving systems — from advanced driver assistance in select production vehicles to scalable robotaxi services with Motional.” – Rishi Dhall, Vice President of Automotive at NVIDIA.

More information about Hyundai Motor Group can be found at: http://www.hyundaimotorgroup.com or Newsroom: Media Hub by Hyundai, Kia Global Media Center (kianewscenter.com), Genesis Newsroom

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — PC Partner Technology Pte. Limited, a leading global hardware solutions manufacturer, is attending NVIDIA GTC 2026 in San Jose, California from March 16 to March 19, 2026, to showcase the latest high-performance computing solutions powered by the latest NVIDIA technologies.

These systems can support workflows built on NVIDIA Omniverse Enterprise, specifically focusing on industrial digitalization and the creation of large-scale digital twins, targeting key customers and industry leaders looking to accelerate their AI training and 3D workflows through robust, enterprise-grade hardware.

ZRS-MGX-R1 4U GPU Server based on NVIDIA MGX integrating with NVIDIA ConnectX-8 SuperNIC
Enterprise-Scale Simulation Hub

The 4U GPU Server based on NVIDIA MGX integrating with NVIDIA ConnectX-8 SuperNIC, powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, was made to be the ultimate simulation hub for large-scale enterprise environments. Purpose-built for NVIDIA Omniverse workloads, this server provides the massive computational density required for Physical AI and high-fidelity digital twins of entire industrial facilities. Featuring a modular architecture that supports up to 8x GPUs and 96GB of GDDR7 memory per card, this system bridges the gap between physical operations and digital optimization at an industrial scale.

ZRS-326SV2 6U 8GPU Server
Affordable On-Premises Solution

The ZRS-326SV2 6U 8GPU Server offers a high-performance, affordable platform for companies looking to prioritize data security and on-premises AI deployment to retain sensitive digital twins and proprietary industrial data within their own secure firewall without sacrificing computational power. This system is highly flexible and scalable in hardware configuration with up to 8 GPUs possible, which allows clients to tailor internal components to meet specific budget and project profiles, making it a top-tier solution that balance reliability and cost-performance ratio.

W511Z-1P6E GPU Workstation
Innovation on Your Desktop

The GPU Workstation is engineered to be the desktop solution for professional creators and engineers who are driving the next wave of industrial digitalization. Powered by NVIDIA RTX PRO 4500 Blackwell Workstation GPUs, it is a powerful entry point into the NVIDIA Omniverse ecosystem, allowing users to develop, test and optimize complex 3D workflows and digital twins with real-time, local AI capabilities at a desktop scale.

Visit Us at GTC 2026

Learn more about PC Partner’s full range of HPC solutions firsthand at Booth 178, San Jose Convention Center, San Jose, California, on March 16 – 19, 2026.

About PC Partner Technology Pte. Limited
PC Partner was founded in 1997. Over the years, the Company has grown into a leading global manufacturer of computer electronics with overseas offices selling products worldwide, and a full range product portfolio which includes video graphics cards, Mini PCs, motherboards, embedded systems, gaming hardware, and more. The company also offers one-stop electronic manufacturing services to reputable brands all over the world. PC Partner Technology Pte. Limited also address business and enterprise computing and visualization needs of today’s ever-changing market with GPU Server offerings.