MSI Showcases Liquid-Cooled AI Infrastructure, NVIDIA MGX, NVIDIA DGX Station and DC-MHS Platforms at COMPUTEX 2026

Taipei, Taiwan – Jun 2, 2026 – MSI showcases a comprehensive portfolio of AI and data center infrastructure platforms at COMPUTEX 2026 (Booth #J0605a), with liquid-cooled infrastructure at the center as increasing compute density drives greater thermal demands across modern data centers. The lineup spans liquid-cooled ORv3 rack-scale architectures for high-density AI infrastructure, NVIDIA MGX platforms for scalable AI training and inference, DGX Station desktop AI supercomputer for local AI development, and DC-MHS multi-node and enterprise server platforms for modular cloud and enterprise deployments. “Scaling AI infrastructure now requires a balance between compute performance, thermal efficiency, and deployment flexibility,” said Danny Hsu, General Manager of MSI’s Enterprise Platform Solutions. “MSI’s AI platform portfolio is designed to support AI deployment from rack-scale infrastructure to local AI development.” Liquid-Cooled and Air-Cooled Rack Architectures MSI expands its infrastructure portfolio with OCP ORv3 liquid-cooled and standard EIA air-cooled rack architectures for modern data centers. The ORv3 platform targets high-density AI and cloud infrastructure, while the EIA architecture supports standardized deployment within existing enterprise environments. The 21” 44OU ORv3 Liquid-Cooled Rack Architecture supports up to 100kW deployments with an integrated Liquid-to-Liquid Coolant Distribution Unit (L2L CDU). Configured with 28x 1OU2N Open Compute multi-node systems, the wider 21” ORv3 design enables higher compute density, efficient liquid cooling, and 48V busbar power distribution for large-scale AI infrastructure. The 19” 48RU EIA Air-Cooled Rack Architecture supports standardized deployment within existing data center environments. Configured with 16x 2U2N multi-node systems, the platform enables scalable cloud and enterprise infrastructure integration within standard EIA racks, with both AMD EPYC™ 9005 and Intel® Xeon® 6 platform options for deployment flexibility. NVIDIA MGX AI Servers and NVIDIA DGX Station MSI’s NVIDIA-based AI infrastructure portfolio spans both GPU-accelerated AI servers and desktop AI supercomputing platforms. Built on NVIDIA MGX architecture, the AI server portfolio supports scalable AI training, inference, and HPC deployments across air-cooled and liquid-cooled configurations. Built on NVIDIA DGX Station architecture, the desktop platform delivers data-center-class AI computing for local development, fine-tuning, and inference workloads. The NVIDIA MGX server portfolio includes 2U, 4U, and 6U GPU platforms designed for AI training, inference, HPC, and data-intensive workloads. Supporting NVIDIA H200 NVL, NVIDIA RTX PRO 6000, and NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, these systems provide scalable GPU configurations across modern AI infrastructure environments, while extending MSI’s collaboration within the NVIDIA MGX ecosystem toward next-generation Vera Rubin rack-scale platforms. CG681-S6093: A liquid-cooled 6U dual-socket AMD EPYC platform supporting up to 8 NVIDIA RTX PRO 6000 Blackwell Server Liquid Cooled Edition GPUs, 32 DDR5 DIMMs, and NVIDIA ConnectX-8 SuperNICs with up to 8×400Gbps networking for AI training and HPC deployments. CG480-S5063: A 4U dual-socket Intel Xeon 6 platform supporting up to 8 double-wide GPUs, 32 DDR5 DIMMs, 20 E1.S NVMe drives, and 5 additional PCIe 5.0 expansion slots for storage-rich AI and HPC workloads. CG481-S6053 / CG480-S6053: 4U dual-socket AMD EPYC 9005 platforms supporting up to 8 double-wide GPUs, 24 DDR5 DIMMs, and 8 U.2 NVMe drives for multi-GPU AI and HPC deployments. The CG481-S6053 features up to 8×400G QSFP112 networking via NVIDIA ConnectX-8 SuperNICs for distributed AI training and high-bandwidth GPU clusters, while the CG480-S6053 provides 5 additional PCIe 5.0 expansion slots for scalable AI infrastructure configurations. CG290-S3063: A 2U single-socket Intel Xeon 6 platform supporting up to 4 double-wide GPUs, 16 DDR5 DIMMs, and 4 rear U.2 NVMe drives for inference, edge AI, and space-constrained data center deployments. The XpertStation WS300 on NVIDIA DGX Station architecture is a desktop AI supercomputer designed for AI development, fine-tuning, inference, and data-intensive workflows with Windows support for local AI application and agent development. Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, the platform supports up to 748GB coherent memory and 7.1TB/s HBM3e bandwidth for high-speed CPU-GPU communication and large AI model processing. Dual 400GbE networking via NVIDIA ConnectX-8 SuperNICs and liquid-cooled thermal design further enable data-center-class AI computing within a compact deskside form factor. DC-MHS Open Compute and Core Compute Multi-Node Platforms MSI offers both 21” Open Compute and 19” Core Compute multi-node platforms for hyperscale and cloud data centers. Built on DC-MHS architecture, these systems enable modular platform integration, scalable infrastructure deployment, and simplified platform transition across modern compute environments. The 21” Open Compute portfolio includes air-cooled and liquid-cooled 1OU2N, 2OU2N, and 2OU4N platforms optimized for high-density AI and cloud infrastructure with 48Vdc busbar power distribution. CD281-S4051-X4 (Liquid Cooling): A liquid-cooled 2OU 4-Node platform supporting a single AMD EPYC 9005 processor, 12 DDR5 DIMMs, and 4 E1.S NVMe bays per node for AI inference and cloud-native infrastructure. CD281-S4051-X2: A 2OU 2-Node platform supporting a single AMD EPYC 9005 processor, 12 DDR5 DIMMs, 12 E3.S NVMe bays, and dual FHHL PCIe 5.0 expansion slots per node for storage-rich cloud and scale-out deployments. The 19” Core Compute portfolio spans 2U2N and 2U4N platforms for enterprise and cloud infrastructure deployment within standard 19” EIA rack environments. CD270-S3071-X4 / CD270-S3071-X2: Intel Xeon 6/6+ based 2U 4-Node and 2U 2-Node platforms with 12 DDR5 DIMMs per node, supporting Intel Xeon 6+ processors with up to 288 E-cores. The X4 supports 3 U.2 NVMe bays per node for compute-focused cloud infrastructure, while the X2 supports 6 bays per node for virtualization and data-centric services. CD270-S3061-X4: A 2U 4-Node Intel Xeon 6 platform supporting 16 DDR5 DIMMs and 3 U.2 NVMe bays per node for mainstream scale-out and containerized deployments. CD270-S4051-X4 / CD270-S4051-X2: AMD EPYC 9005-based 2U 4-Node and 2U 2-Node platforms supporting 12 DDR5 DIMMs per node. The X4 supports 3 U.2 NVMe bays per node for compute-dense infrastructure, while the X2 adds 6 U.2 NVMe bays per node for mixed compute and storage environments. Enterprise Platforms Across DC-MHS and Standard Architectures MSI’s enterprise platform portfolio spans DC-MHS enterprise servers, modular HPMs, and standard enterprise motherboards for cloud and enterprise infrastructure deployment. The portfolio includes GPU-ready server platforms, modular DC-MHS platform integration, and standard server motherboards designed for flexible deployment across enterprise and workstation environments. DC-MHS Enterprise Servers CX270-S5062 (-HE SKU) / CX170-S5062: Dual-socket Intel Xeon 6 based 2U and 1U platforms supporting 32 DDR5 DIMMs. The CX270-S5062 supports 8 U.2 NVMe drives and up to 2 double-wide 600W GPUs for virtualization and GPU-accelerated workloads, while the CX170-S5062 supports 12 U.2 NVMe drives for high-density cloud infrastructure. CX271-S4056 (-HE SKU) / CX171-S4056: Single-socket AMD EPYC 9005 based 2U and 1U platforms supporting 24 DDR5 DIMMs. The CX271-S4056 supports 8 U.2 NVMe drives and up to 2 double-wide 600W GPUs for AI inference and accelerated computing, while the CX171-S4056 supports 12 U.2 NVMe drives for scale-out cloud infrastructure. CX271-S3066 (-HE SKU) / CX171-S3066: Single-socket Intel Xeon 6 based 2U and 1U platforms supporting 16 DDR5 DIMMs. The CX271-S3066 supports 8 U.2 NVMe drives and up to 2 double-wide 600W GPUs, while the CX171-S3066 supports 12 U.2 NVMe drives for mainstream cloud deployments. DC-MHS HPMs and Standard Enterprise Motherboards Supporting M-DNO Type-2, M-DNO Type-4, and M-FLW form factors, the DC-MHS HPM portfolio provides modular DC-MHS platform integration, while standard server motherboards support mainstream enterprise and workstation platforms. Dual-Socket Intel Xeon 6 M-FLW HPMs: D5062 Single-Socket Intel Xeon 6/6+ M-DNO Type-2 HPMs: D3071 / D3061 Single-Socket Intel Xeon 6 M-DNO Type-4 HPMs: D3066 Single-Socket AMD EPYC 9005 M-DNO Type-2 HPMs: D4051 Single-Socket AMD EPYC 9005 M-DNO Type-4 HPMs: D4056 Standard Intel Xeon 6 Enterprise Motherboard: D3060 Standard AMD EPYC 9005 Enterprise Motherboard: D4050

MSI Accelerates Enterprise AI Strategy with Cloud-to-Edge Ecosystem at COMPUTEX 2026

Scaling Industrial AI from Liquid-Cooled Data Centers to Autonomous Edge Operations MSI, a global leader in high-performance computing and industrial solutions, returns to COMPUTEX 2026 (Booth #J0605a) to unveil its strategic AI roadmap. This year’s showcase centers on a seamless continuum from data center scale to autonomous edge execution, featuring liquid-cooled AI platforms and supercomputers built on NVIDIA MGX, NVIDIA DGX Station, and NVIDIA DGX Spark architectures. Cloud Foundation: Liquid-Cooled Infrastructure for Hyperscale AI To meet the demands of modern AI data centers, MSI is introducing high-density platforms that prioritize thermal efficiency and performance: CG681-S6093 6U Liquid-Cooled AI Server (based on NVIDIA MGX) Built on NVIDIA MGX architecture, this server supports dual AMD EPYC™ processors and up to eight NVIDIA RTX PRO 6000 Blackwell Server Edition Liquid Cooled GPUs. It delivers the compute density required for large-scale AI inference - with support for a wide range of agentic, physical AI, scientific computing, simulation, graphics, and video workloads. High-Speed Connectivity: The platform is equipped with NVIDIA ConnectX-8 SuperNICs, providing up to 8×400Gbps Ethernet connectivity for distributed AI environments. Rack-Scale Scalability: MSI’s liquid-cooled rack-scale architecture supports up to four CG681-S6093 GPU systems within a 48RU configuration. Networking is anchored by NVIDIA Spectrum-4 SN5600 Ethernet switches and SN2201 out-of-band switches for high-performance AI cluster connectivity. Deskside Development: The Desktop AI Supercomputer Bridging the gap between the data center and the developer's desk, MSI presents high-performance AI computing for local workflows: XpertStation WS300 (NVIDIA DGX Station): Built on NVIDIA MGX architecture, this server supports dual AMD EPYC™ processors and up to eight NVIDIA RTX PRO 6000 Blackwell Server Edition Liquid Cooled GPUs. It delivers the compute density required for large-scale AI inference - with support for a wide range of agentic, physical AI, scientific computing, simulation, graphics, and video workloads. Efficient AI Refinement: The WS300 is designed for AI model development, fine-tuning, and inference, utilizing a compact, liquid-cooled design with dual 400GbE networking powered by NVIDIA ConnectX-8 SuperNICs to sustain peak performance. (Recently showcased at GTC Taipei). Edge Execution: EdgeXpert and Autonomous Intelligence MSI is bringing data center-level performance directly to real-world environments through the debut of its edge supercomputing platform: EdgeXpert AI Supercomputer: Built on the NVIDIA DGX Spark platform, EdgeXpert enables enterprises to deploy smarter, faster, and more scalable AI agents and applications at the edge. OpenClaw/Hermes Agent on MSI EdgeXpert: MSI showcases prominent AI Agent frameworks, providing open-source Agentic AI structures that support sustainable local operations and self-optimization capabilities. EU CRA Compliant Agentic AI with Galene Elettra: Powered by a Multi-Agent System (MAS), this solution enables intelligent decision-making across complex workflows while maintaining compliance with the European Cyber Resilience Act (CRA). Legal AI Suite: A specialized platform for enterprise AI, streamlining legal research, document analysis, and IP governance. Smart Campus Patrol: The Smart Campus Patrol Vehicle demonstrates real-time computer vision for precision inspection and smarter industrial operations. Tarot AI Experience with Reachy Mini: An interactive demonstration of Agentic AI, blending robotics with generative AI to deliver personalized engagement. End-to-End AI in Action Across Industries MSI delivers purpose-built Edge AI solutions developed with leading industry partners across diverse vertical markets: Smart Manufacturing & Semiconductor: The Edge AI Box MS-C910E with Memorence AI enables real-time machine vision. Partnering with Qiming Tech, MSI leverages the Edge AI Box MS-C939 to deliver real-time, high-precision automated optical inspection (AOI) to optimize semiconductor production yield. Voice AI & Driver Safety: Powered by Ubestream, the Slim Box MS-C926 provides real-time translation, while the Embedded Box MS-C927 enables instant voice-to-order experiences for retail. For driver safety, the In-vehicle Box MS-C932 runs real-time AI Driver Fatigue Detection to enhance on-road security. Smart Transportation & Precision Agriculture Integrating edge inference with frontline mobility and field operations, MSI optimizes commercial transit and smart farming workflows: Smart Transportation × AI Vision Solutions: MSI is expanding its smart transportation portfolio with mobility solutions powered by Edge AI and in-vehicle vision. The lineup features fleet management tablets, telematics boxes, smart rearview mirrors, and AI-enabled ADAS and DMS systems for fleet monitoring and video analytics. Utilizing real-time AI processing, MSI helps logistics and fleet operators improve management efficiency and strengthen road safety. Smart Agriculture & Drone Integration: MSI introduces an intelligent agricultural solution that seamlessly integrates autonomous drone technology, Edge AI computing, and ground control systems. Built for harsh environments, this comprehensive platform combines drone ground control stations, rugged tablets, T-Box connectivity modules, and centralized multi-drone management platforms. It is engineered for critical use cases including automated field inspection, precision spraying, crop monitoring, and pest/disease identification. By leveraging real-time video analytics, edge inference, and cloud data synchronization, the solution empowers agricultural operators to boost efficiency, streamline operational workflows, and accelerate the transition to smart farming. Extreme Field Mobility (MS-NE21): The NE21 Rugged Industrial Tablet features an Intel® 13th Gen Core™ i Series (Raptor Lake-U) processor, supporting up to 32GB LPDDR5/LPDDR5X memory and 2TB PCIe SSD. Built to MIL-STD-810G standards with an IP65 rating, it survives 4-foot drops and functions from -10°C to 50°C. It offers a 650-nit sunlight-readable 11.6" display with glove/wet-touch modes and a continuous hot-swappable battery system (64Wh to 98.1Wh). Industrial Panel PCs & Robust Hardware Foundation To support heavy enterprise workloads, MSI highlights its high-reliability industrial hardware portfolio: Industrial Panel PCs: Features include the MS-1A81 (21.5") for Smart Healthcare clinical workflows; the MS-1A22 (12.1") and MS-1A32 (15") for factory floor monitoring; and the MS-1A91 (10.1") and MS-OP01 (15.6") for secure Smart Locker Systems. Hardware Backbone: For multi-industry infrastructure durability, MSI showcases its robust hardware portfolio featuring the Intel Wildcat Lake, NXP, and NVIDIA® Jetson™ Thor™ series platforms, alongside industrial 4U rackmount systems. Sustainability & EV Charging Infrastructure Bringing intelligent infrastructure to the energy transition, MSI presents its smart EV charging solutions: Eco Series Home EV Charger: Awarded the Taiwan Excellence Award, this residential smart charger delivers up to 22kW three-phase output. Powered by NXP industrial MCUs and AI smart control, it integrates with solar storage. Featuring a UL94-V0 fire-rated enclosure (extinguishing over-heat sources in 10 seconds) and RDC-DD leakage detection for underground parking safety, it holds global safety certifications, RPC certification in Taiwan, and $5M USD product liability insurance. MSI Hyper 80 Dual Fast Charger: Designed for urban commercial hubs, this DC fast charger delivers 80kW power distribution within an industry-leading 30cm ultra-slim chassis to maximize space efficiency. Visit MSI at COMPUTEX 2026, Booth #J0605a, Hall 1 (1F), to experience the future of the cloud-to-edge AI ecosystem. MSI: https://www.msi.comMSI YouTube: https://www.youtube.com/user/MSIGamingGlobalMSI Facebook: https://www.facebook.com/MSIGamingMSI Instagram: https://www.instagram.com/MSIGamingMSI X: https://x.com/msigaming

MSI Advances AI and Enterprise Infrastructure with NVIDIA MGX and DC-MHS Architectures at Japan IT Week Spring 2026

Tokyo, Japan – April 8, 2026 – At Japan IT Week Spring 2026 (Booth #W21-22), MSI presents a comprehensive portfolio of AI and enterprise infrastructure designed to support data-intensive workloads across modern IT environments. From AI training and inference to enterprise applications, MSI enables businesses to deploy right-sized compute with GPU-dense systems, modular NVIDIA MGX platforms, and OCP DC-MHS servers, helping simplify deployment, improve resource utilization, and accelerate AI adoption. “AI is moving from experimentation into core enterprise infrastructure,” said Danny Hsu, General Manager of MSI’s Enterprise Platform Solutions. “This shift is changing how organizations design, deploy, and scale IT. MSI is focused on helping customers build infrastructure that can support AI as a long-term capability across their operations.” Full-Spectrum AI Infrastructure for Every Workload A full-spectrum AI infrastructure portfolio spans 4U GPU-dense systems, a 2U GPU platform, and a deskside AI workstation, enabling organizations to match compute resources to workloads from large-scale training to inference and local AI development. The CG480-S5063 and CG290-S3063, built on NVIDIA MGX architecture, leverage a modular and standardized design to simplify system integration and accelerate deployment, helping organizations reduce validation effort and achieve faster time-to-revenue. For customers seeking an alternative to NVIDIA MGX, the G4201(-HE) offers an entry-level enterprise platform with flexible PCIe expansion options for compatibility with existing IT environments, making it suitable for organizations starting to integrate AI and data-intensive workloads. Together with the XpertStation WS300 built on NVIDIA DGX Station architecture, MSI delivers a flexible, multi-architecture portfolio that enables efficient AI scaling across development, deployment, and scaling stages. The CG480-S5063 4U GPU server, based on NVIDIA MGX architecture and powered by dual Intel® Xeon® 6 processors, supports up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition/NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs with high-bandwidth networking, enabling scalable performance for LLM training and large-scale generative AI workloads, while accelerating deployment through a modular MGX design. The CG290-S3063 2U GPU server, built on NVIDIA MGX architecture with a single Intel Xeon processor 6, supports up to 4 NVIDIA RTX PRO 6000 Blackwell Server Edition/NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, delivering a compact and efficient platform for inference and distributed AI deployments, especially in space-constrained data centers and edge scenarios. The XpertStation WS300, built on NVIDIA DGX Station architecture and powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, features 748GB of coherent memory pool and dual 400GbE networking, enabling developers to train, fine-tune, and run advanced AI models locally with data-center-class performance. The G4201(-HE) 4U server, powered by dual 5th Gen Intel Xeon Scalable processors, supports up to 32 DDR5 DIMM slots and 8 PCIe cards, adopting an industry-standard architecture for compatibility with existing IT environments. It serves as an entry-level enterprise platform for organizations beginning to integrate AI and data-driven applications into established environments. Modular Enterprise Platforms for Scalable IT Infrastructure Built on DC-MHS (Data Center Modular Hardware System) with DC-SCM, these MSI enterprise servers are designed for AI-enabled enterprise, virtualization, and cloud workloads. By separating system management from the host, DC-SCM enables faster CPU transitions and reduces firmware development effort, while the modular DC-MHS design allows independent upgrades and shorter validation cycles. Built on Intel Xeon 6 and AMD EPYC™ 9005 processor platforms, with high core density, DDR5 memory and NVMe storage scaling up to 32 DIMMs and 12 drives, these servers handle data-intensive workloads more efficiently, helping organizations shorten deployment cycles, improve system uptime, and scale AI-enabled services within existing IT environments. The CX270-S5062(-HE) 2U server, powered by dual Intel Xeon 6 processors, supports up to 32 DDR5 DIMMs, 8 U.2 NVMe drives, and GPU expansion capability, enabling balanced performance for virtualization, AI inference, and mixed workloads. The CX271-S3066(-HE) 2U server, based on a single Intel Xeon 6 processor, supports up to 16 DDR5 DIMMs and 8 U.2 NVMe drives, and GPU expansion capability, delivering balanced compute and storage performance for enterprise and data-driven workloads. The CX171-S4056 1U server, powered by a single AMD EPYC 9005 processor, supports up to 24 DDR5 DIMMs and 12 U.2 NVMe drives, enabling space-efficient enterprise deployments with high memory capacity.

Japan IT Week Spring 2026

MSI Highlights Cloud, AI, and Enterprise Server Platforms at CloudFest 2026

Rust, Germany – March 24, 2026 – At CloudFest 2026 (Booth #H08+H09), MSI showcases a server portfolio spanning hyperscale cloud platforms, NVIDIA-accelerated AI systems, and enterprise servers for hybrid cloud environments. The lineup features multi-node and ORv3 architectures for hyperscale deployments, GPU-dense platforms for AI training and inference, and high-memory enterprise systems for virtualization and data-intensive workloads, enabling cloud service providers and enterprises to deploy scalable, high-density infrastructure for cloud, AI, and enterprise workloads. “Cloud infrastructure is evolving rapidly as AI services and data-intensive workloads continue to expand,” said Danny Hsu, General Manager of MSI’s Enterprise Platform Solutions. “Service providers and enterprises need platforms that can scale efficiently while maintaining performance and operational flexibility across next-generation data center environments.” Scalable Compute Platforms for Cloud Infrastructure The cloud platform portfolio supports hyperscale and service provider deployments, offering deployment flexibility across 2U 4-node, 2U 2-node, and ORv3 21-inch server architectures, with platforms powered by AMD EPYC™ and Intel® Xeon® 6 processors. These platforms optimize compute density and rack-level efficiency across large-scale cloud workloads. Built on DC-MHS (Data Center Modular Hardware System) architecture, the platforms improve serviceability and hardware interoperability, allowing operators to streamline maintenance and reduce operational complexity across large-scale deployments. For hyperscale environments, MSI also provides an ORv3-compliant 21-inch platform designed for Open Compute racks and 48V rack power architectures, enabling improved compute density, power efficiency, and seamless rack-scale integration. The CD270-S3071-X4 is a 2U 4-node platform designed for high-density cloud deployments. Each node supports a single Intel Xeon 6 processor (up to 400W TDP) with 12 DDR5 DIMM slots across 12 memory channels, and 3 front U.2 NVMe bays, enabling high compute density and efficient scaling for cloud-scale workloads. AI Platforms for Scalable Cloud AI Infrastructure NVIDIA-accelerated AI platforms extend the portfolio from large-scale training clusters to local AI development environments, spanning a 4U GPU server, a 2U GPU server, and an AI development workstation. Designed for cloud service providers and AI operators, the systems combine NVIDIA GPUs, high-bandwidth memory architectures, PCIe 5.0/6.0 connectivity, and high-speed networking to deliver the throughput and scalability required for data center-scale AI workloads. The CG481-S6053 is a 4U NVIDIA MGX server powered by dual AMD EPYC™ 9005 processors, supporting up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition/NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and 8 400Gb QSFP112 networking ports. With PCIe 6.0 GPU connectivity and high-bandwidth networking, the platform is optimized for large-scale AI training clusters and model fine-tuning environments. The CG290-S3063 is a 2U NVIDIA MGX server built on Intel Xeon 6 processors, supporting up to 4 NVIDIA RTX PRO 6000 Blackwell Server Edition/NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs. Its balanced GPU density and compact footprint make it well suited for scalable inference and distributed AI deployments across cloud and edge infrastructure. Completing the lineup, the XpertStation WS300, based on the NVIDIA DGX Station architecture, integrates an NVIDIA Grace CPU paired with an NVIDIA Blackwell Ultra GPU, featuring a 748GB coherent memory pool and 2×400GbE networking powered by NVIDIA ConnectX®-8 SuperNICs. The system enables developers and AI teams to develop, prototype, fine-tune, and validate AI models locally before deploying workloads to production-scale AI infrastructure. Enterprise Servers for Hybrid Cloud Infrastructure Enterprise platforms designed for hybrid cloud environments support enterprise data center deployments. The lineup spans 1U and 2U systems powered by AMD EPYC 9005 and Intel Xeon 6 processors, combining high core-count CPUs, DDR5 memory, PCIe 5.0 expansion, and high-density NVMe storage to support virtualization, databases, and cloud-native workloads. The CX270-S5062 is a 2U dual-socket Intel Xeon 6 platform supporting 32 DDR5 DIMMs, flexible NVMe storage configurations of up to 24 front U.2 NVMe drives, and 2 PCIe 5.0 double-wide GPUs, delivering strong compute performance and storage density for virtualization and enterprise database workloads. The CX271-S4056 (-HE SKU) is a 2U single-socket AMD EPYC 9005 platform with 24 DDR5 DIMMs, 2 PCIe 5.0 double-wide GPUs, and NVMe storage, delivering high memory bandwidth and balanced performance for enterprise applications and cloud infrastructure services. The CX171-S4056 is a 1U AMD EPYC 9005 platform supporting 24 DDR5 DIMMs and up to 12 front NVMe drives, enabling high compute density for space-efficient data center deployments.

CloudFest 2026

MSI Accelerates Enterprise AI with NVIDIA MGX Servers and DGX Workstations at GTC 2026

From liquid-cooled AI training platforms to desktop AI supercomputing, MSI expands its portfolio to power next-gen generative AI, HPC, and real-time video analytics. San Jose, CA – March 17, 2026 – MSI, a global leader in high-performance server solutions, today unveils its latest AI infrastructure portfolio built on NVIDIA’s modular architectures, including the NVIDIA MGX platform and NVIDIA DGX Station technology. Designed to accelerate AI training, large-scale inference, HPC, edge, and next-generation data center workloads, MSI’s expanded lineup delivers exceptional scalability, performance density, and deployment flexibility. Scalable AI Infrastructure Built on NVIDIA MGX Architecture Leveraging the modular design of NVIDIA MGX architecture, MSI has developed a comprehensive portfolio of 4U and 6U liquid-cooled servers supporting NVIDIA RTX PRO 6000 Blackwell Server Edition and NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs. The NVIDIA MGX architecture enables flexible CPU selection, high-capacity memory configurations, and seamless integration of high-speed networking — empowering enterprises to deploy infrastructure tailored to diverse workload requirements, from data center deployments to edge applications. MSI’s platforms based on NVIDIA MGX support both Intel and AMD CPU options, up to 32 DDR5 DIMM slots, and as many as eight 400G Ethernet ports powered by NVIDIA ConnectX-8 SuperNICs. With advanced thermal engineering, including both liquid cooling and optimized air-cooling designs, these systems are purpose-built to sustain peak performance under the most demanding AI workloads. The CG480-S5063 represents MSI’s flagship 4U server based on NVIDIA MGX, featuring dual Intel® Xeon® 6 processors, eight dual-width PCIe GPU slots, and 32 DDR5 DIMM slots for maximum memory scalability. Supporting up to twenty PCIe Gen5 E1.S NVMe bays, the system delivers ultra-fast data throughput and expansive storage capacity. Expanding the NVIDIA MGX family, the CG481-S6053 integrates dual AMD EPYC™ 9005 Series processors to maximize core density and I/O bandwidth. Featuring eight PCIe 5.0 GPU slots, 24 DDR5 DIMM slots and eight high-bandwidth 400G Ethernet ports via NVIDIA ConnectX-8 SuperNICs, this platform is designed for compute-intensive AI clusters, HPC simulations, and multi-tenant enterprise AI deployments. The CG681-S6093 is a 6U liquid-cooled AI platform built on a dual-socket architecture, supporting eight dual-width PCIe GPU slots and eight 400G Ethernet ports powered by NVIDIA ConnectX-8 SuperNICs. It delivers exceptional performance and efficiency for high-density AI data center deployments. To reinforce its commitment to next-generation AI computing, MSI is showcasing NVIDIA’s Vera CPU option, highlighting its ongoing innovation in data-driven, AI-powered infrastructure solutions. Accelerating Computer Vision and Video Analytics The NVIDIA MGX architecture is particularly well-suited for computer vision and real-time video analytics applications. With high GPU throughput and ultra-fast networking, MSI’s AI platforms enable real-time multi-camera processing for smart cities, industrial inspection, and advanced surveillance systems. At GTC 2026, MSI is demonstrating AI-powered smart video search and automated summarization capabilities, showcasing how enterprises can extract actionable intelligence from massive volumes of live and archived video data. Data Center AI Performance at the Desk: MSI XpertStation WS300 For AI developers, researchers, and data scientists requiring data center-class performance in a workstation form factor, MSI announces the availability of the XpertStation WS300 beginning March 16. Built upon the NVIDIA DGX Station architecture, the WS300 is powered by NVIDIA Grace Blackwell Ultra Desktop Superchip and features 748GB of large coherent memory. Equipped with dual 400GbE networking ports via NVIDIA ConnectX-8 SuperNICs and a robust 1600W ATX power supply, the system delivers unprecedented AI compute capability directly at the deskside with a plug-and-play supercomputing feature. The XpertStation WS300 enables advanced AI model development, fine-tuning, inference, data science workflows, and complex simulations — bringing data center-level acceleration to enterprise developers and research teams. With its expanded NVIDIA MGX server portfolio and NVIDIA DGX-powered workstation platform, MSI continues to deliver scalable, high-performance AI infrastructure, empowering organizations to accelerate innovation from the data center to the edge and the desktop.

GTC 2026: MSI Drives End-to-End AI Implementation by Bridging Cloud Computing and Autonomous Edge Inspection

Comprehensive Showcase Features NVIDIA MGX Servers, NVIDIA DGX Workstations, and Digital Twin Validation MSI, a global leader in high-performance server solutions and Edge AI, unveils its comprehensive AI ecosystem at NVIDIA GTC 2026. In addition to launching the servers based on NVIDIA MGX architecture and powered by the NVIDIA Blackwell GPUs, MSI introduces the XpertStation WS300, built on NVIDIA DGX Station architecture. MSI also showcases the OmniGuard smart patrol vehicle, integrated with NVIDIA Alpamayo-R1 Vision-Language-Action (VLA) inference model, demonstrating a complete workflow from AI infrastructure and Digital Twin validation to real-world deployment. High-Performance Foundations: MSI servers based on NVIDIA MGX Based on the modular design of NVIDIA MGX architecture, MSI has engineered a robust portfolio of 4U and 6U liquid-cooled servers supporting NVIDIA RTX PRO 6000 Blackwell Server Edition and NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs. These platforms are optimized to accelerate a wide range of AI workloads, from data center deployments to edge applications. This flexible architecture empowers enterprises to tailor CPU, memory, and networking configurations to meet specific performance, scalability, and workload demands. CG480-S5063: A flagship 4U server based on NVIDIA MGX, featuring dual Intel® Xeon® 6 processors, eight dual-width PCIe GPU slots, and 32 DDR5 DIMM slots for exceptional memory scalability. It supports up to 20 PCIe Gen5 E1.S NVMe drives for ultra-high data throughput. CG481-S6053: Powered by dual AMD EPYC™ 9005 Series processors to maximize core density and I/O bandwidth. It integrates eight PCIe 5.0 GPU slots, 24 DDR5 DIMM slots and eight 400G Ethernet ports via NVIDIA ConnectX-8 SuperNICs, designed for compute-intensive AI clusters and HPC simulations. CG681-S6093: The 6U liquid-cooled AI platform, designed with a dual-socket architecture and equipped with eight dual-width PCIe GPUs, integrates eight 400G Ethernet ports via NVIDIA ConnectX-8 SuperNICs to deliver exceptional performance and efficiency for high-density AI data center deployments. Advanced Thermal Engineering and Future-Ready AI Innovation MSI’s platforms based on NVIDIA MGX integrate liquid cooling and optimized air-cooling designs to sustain Peak Performance under the most rigorous AI workloads. Leveraging exceptional GPU throughput and high-speed connectivity, MSI is demonstrating AI-powered intelligent video search and automated summarization. These capabilities optimize multi-camera analytics for smart cities and industrial inspection, empowering enterprises to rapidly extract actionable intelligence from massive datasets to enhance decision-making efficiency. To reinforce its commitment to next-generation AI computing, MSI is also showcasing NVIDIA Vera CPU option, highlighting its ongoing innovation in data-driven, AI-powered infrastructure solutions. MSI XpertStation WS300: Data Center-Class AI Power at the Desk For researchers requiring massive compute power in a deskside form factor, MSI announced the XpertStation WS300, available starting March 16. Core Architecture: Built on NVIDIA DGX Station architecture, the WS300 is powered by NVIDIA Grace Blackwell Ultra Desktop Superchip and features 748GB of coherent memory. Connectivity and Power: Equipped with dual 400GbE ports via NVIDIA ConnectX-8 and a 1600W ATX power supply, the system delivers unprecedented AI acceleration directly at the desktop with a plug-and-play supercomputing feature. "The growth of Generative AI and LLMs has driven extreme demand for underlying infrastructure," said Danny Hsu, General Manager of Enterprise Platform Solutions at MSI. "Through our platforms based on NVIDIA MGX and XpertStation WS300, MSI is extending data center-level momentum to the developer’s desk, accelerating innovation across the data center, the edge, and the desktop." Real-World Impact: Reducing Deployment Risk with Digital Twins & EdgeXpert MSI utilizes NVIDIA Omniverse libraries and NVIDIA Isaac Sim open simulation framework to create high-precision virtual environments to eliminate uncertainties in physical deployments. Through Sim2Real (Simulation to Reality) technology, OmniGuard patrol vehicle underwent rigorous virtual testing of patrol routes and pedestrian interactions to ensure functional validation before real-world implementation. Core Intelligence: NVIDIA Alpamayo-R1 Autonomous Decision System OmniGuard deeply integrates the Alpamayo, granting the vehicle "thought-and-action" perception to master complex Long-tail scenarios. Testing confirms a 12% increase in navigation planning accuracy and a 35% reduction in off-road rates. Scalable Edge AI Implementation: Models are deployed and monitored via the MSI EdgeXpert platform. The vehicle powered by the NVIDIA Jetson platform for real-time edge processing, ensuring reliable performance in dynamic environments. This architecture can be rapidly extended to smart factories, logistics parks, and public infrastructure. David Wu, General Manager of Customized Product Solutions at MSI, commented: "The value of AI lies in solving real-world pain points. Powered by NVIDIA accelerated computing, Digital Twins, and Alpamayo inference technology, MSI has established a seamless workflow from virtual validation to physical deployment. This not only shortens development cycles but also demonstrates MSI’s strength in driving the comprehensive implementation of Edge AI applications." MSI：https://www.msi.com MSI YouTube：https://www.youtube.com/@MSI MSI Facebook：https://www.facebook.com/MSIAIoT MSI LinkedIn : https://www.linkedin.com/showcase/msi-aiot/ MSI Instagram：https://www.instagram.com/MSI MSI X：https://x.com/msigaming