• Supermicro’s NVIDIA Vera Rubin NVL72 and HGX Rubin NVL8 systems are built on the DCBBS liquid-cooling stack, targeting up to 10x throughput per watt and one-tenth the token cost, compared to NVIDIA Blackwell solutions.
• Supermicro’s 2U HGX Rubin NVL8 system is the most flexible platform supporting NVIDIA Vera and next-generation x86 CPUs, scaling to 72 Rubin GPUs per rack, as well as a DCBBS Liquid-to-Air (L2A) Sidecar CDU option for data centers without liquid-cooling.
• Supermicro’s new NVIDIA Vera CPU systems include a 2U server supporting up to 6 RTX PRO 4500 Blackwell Server Edition GPUs and a new AI storage system for context memory extension integrated with NVIDIA BlueField-4 DPU.

SAN JOSE, Calif., March 17, 2026 /PRNewswire/ — Super Micro Computer, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for Cloud Computing, AI/ML, Storage, and 5G/Edge, today unveiled its upcoming system portfolio powered by the NVIDIA Vera Rubin platform. As data centers transform into AI factories, producing intelligence at massive scale, agentic reasoning, long-context AI, and Mixture-of-Experts (MoE) workloads are driving demand for an entirely new class of compute and storage infrastructure. Supermicro’s NVIDIA Vera Rubin NVL72, NVIDIA HGX Rubin NVL8, NVIDIA Vera CPU systems are being designed and built with Supermicro’s Data Center Building Block Solutions (DCBBS) advanced liquid-cooling technology stack to accelerate time-to-market for customers.

Supermicro Reveals DCBBS® with New NVIDIA Vera Rubin NVL72, HGX Rubin NVL8, and Vera CPU Systems, Designed to Accelerate Customer Time-to-Market

“We are entering a new era where every organization requires an AI factory to win in the marketplace, as the demand for inference workloads is reshaping what data center infrastructure must deliver,” said Charles Liang, president and CEO of Supermicro. “Supermicro’s DCBBS technology stack is being engineered to empower upcoming NVIDIA Vera Rubin NVL72, HGX Rubin NVL8, and Vera CPU systems to give our customers a fast, clear path to deploying next-generation AI factories, at scale. We are excited to provide an early look at these solutions as a testament to being first to market with the infrastructure that will power the next frontier of AI.”

For more information visit NVIDIA Vera Rubin | Supermicro.

Supermicro DCBBS for NVIDIA Vera Rubin and Rubin Platforms

Delivering AI factory performance at scale requires much more than just compute — It demands power, cooling, and networking infrastructure that performs seamlessly. Supermicro’s modular DCBBS approach enables data center operators to deploy validated, pre-engineered rack solutions rather than custom-building infrastructure for each project — reducing time-to-online, minimizing integration risk, and lowering total cost of ownership across AI factory deployments of any scale.

Supermicro’s DCBBS are engineered specifically to meet the evolving thermal, power, and networking demands needed to enable rapid and robust deployment of upcoming NVIDIA Vera Rubin NVL72, NVIDIA HGX Rubin, and NVIDIA Vera CPU infrastructure. To meet the needs of Vera Rubin platforms, which will be fully liquid-cooled from this generation forward, DCBBS includes a full suite of validated liquid-cooling infrastructure. This expansion includes in-rack and in-row components such as coolant distribution units (CDUs), manifolds, and liquid-to-air sidecar. Also included are infrastructure solutions such as cooling towers and cabling design and implementation services — designed to integrate seamlessly with Supermicro’s next-generation system portfolio.

Supermicro NVIDIA Vera Rubin NVL72 SuperCluster

Supermicro is engineering its NVIDIA Vera Rubin NVL72 with new DCBBS liquid-cooling components to fully support the power and thermal envelope at rack and cluster scale. This includes the manufacturing of optimized NVIDIA MGX racks, in-rack or in-row CDU, RDHx and L2A sidecar to streamline production and deployment of the rack-scale AI supercomputer at scale. The Vera Rubin NVL72 operates as a single rack-scale accelerator, unifying six co-designed chips — Rubin GPU, Vera CPU, NVIDIA NVLink 6, NVIDIA ConnectX-9 SuperNIC, NVIDIA BlueField-4 DPU, and NVIDIA Spectrum-X Ethernet — to deliver up to 3.6 Exaflops of inference, 75TB of fast memory, and 1.6 PB/s of HBM4 bandwidth, targeting up to 10x the throughput per watt and one-tenth the token cost compared to NVIDIA Blackwell.

NVIDIA HGX Rubin NVL8 System

The 2U HGX Rubin NVL8 system provides the densest and most flexible HGX platform — and the first HGX platform to offer greater flexibility in CPU selections including NVIDIA Vera CPUs alongside next-generation AMD and Intel x86 processors. Built on the NVIDIA MGX rack architecture with Supermicro’s blind mate busbar and manifold for tool-free rack integration, it gives customers the freedom to pair eight Rubin GPUs with the CPU platform that best fits their workload and software stack.

The design supports 9 HGX Rubin NVL8 systems per rack — up to 72 Rubin GPUs total — for large-scale AI training, inference, and accelerated HPC. DCBBS provides in-rack CDU, in-row CDU, RDHx and an optional Liquid-to-air (L2A) sidecar for customers deploying in liquid-cooled or air-cooled data center environments.

NVIDIA Vera CPU System with RTX PRO

Supermicro’s Vera CPU next-generation agentic AI system is being engineered as a versatile AI compute node for organizations targeting next-generation agentic AI deployments. The system features dual NVIDIA Vera CPUs supporting up to 6 RTX PRO 4500 Blackwell Server Edition GPUs in a compact 2U chassis — delivering the compute density and energy efficiency that enterprise AI inference, agentic workloads, visualization, and adding accelerated computing to all enterprise workloads. It is a high-bandwidth LPDDR5X memory subsystem and PCIe GPU acceleration in a space-efficient footprint.

NVIDIA BlueField-4 STX Context Memory Storage Platform

Supermicro’s upcoming Context Memory Storage Platform (CMX) introduces a new class of AI-native storage for context memory — architected as an intelligent pod-level context memory storage tier that extends GPU KV cache capacity and serves long-context inference data at the throughput that Vera Rubin NVL72 super pod clusters demand. Powered by NVIDIA BlueField-4 processor, NVIDIA Vera CPUs, NVIDIA ConnectX-9 SuperNICs, Spectrum-X Ethernet NVIDIA DOCA, and NVIDIA Dynamo, the system provides the high-bandwidth, low-latency fabric and intelligent data path offload that large-scale AI inference pipelines and RAG workloads require.

Supermicro NVIDIA Blackwell Solutions — Available Now

With next-generation systems in rapid development, Supermicro’s current portfolio of NVIDIA Blackwell-based systems is in full production and available for immediate deployment through Supermicro’s US and global manufacturing capacity, enabling customers to build and scale production AI infrastructure today. Supermicro is investing across both its current Blackwell lineup and its next-generation systems to ensure customers have the right platform at every stage of this transformation.

Visit Supermicro at GTC San Jose 2026

Supermicro will be unveiling early previews of its Vera Rubin platform systems alongside its current production Blackwell portfolio. Supermicro experts will be available to discuss current procurement options, roadmap planning, and deployment timelines for both near-term and next-generation AI infrastructure in Supermicro booth #1113.

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.

• 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.

• 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.