ISC 2026

MSI Strengthens Collaboration with Phison to Advance Next-Generation AI Computing with aiDAPTIV™

Taipei, Taiwan – Jun. 4, 2026 – MSI is strengthening its collaboration with Phison Electronics to advance next-generation commercial AI solutions Prestige AI+ series and AI infrastructure powered by Phison’s aiDAPTIV™ technology, enabling more efficient and scalable local AI processing for enterprise and professional applications. Through this close partnership, MSI and Phison are exploring new opportunities in AI training, inferencing, and Large Language Model (LLM) deployment, helping businesses and professional users deploy AI workloads locally with greater flexibility, privacy, and operational efficiency. Phison’s aiDAPTIV™ solution leverages an optimized memory architecture and AI middleware integration to expand AI processing capabilities. The platform supports local AI workflows, including Retrieval-Augmented Generation (RAG), LLM fine-tuning, and AI inferencing. By combining MSI’s expertise in high-performance computing systems and AI-ready platforms with Phison’s aiDAPTIV™ technology, the two companies aim to deliver more practical and scalable AI solutions for the evolving AI landscape. “MSI highly values its close relationship with Phison as we continue to explore the future of AI together,” said Clark Peng, Vice President and Chief Product Officer of Notebooks at MSI, who leads the company’s product strategy. “Through our collaboration on aiDAPTIV™, we aim to help businesses and professional industries adopt more accessible, efficient, and flexible local AI capabilities across a wider range of commercial applications.” “MSI and Phison share a common vision of making AI more accessible for enterprises worldwide,” said Danny Hsu, General Manager of Enterprise Platform Solutions at MSI. “By combining MSI’s AI server expertise with Phison’s aiDAPTIV™ technology, we provide customers with more flexible and competitive AI deployment options for inference and fine-tuning workloads while optimizing infrastructure investment efficiency.” "AI is entering a new era where AI Inference is becoming data-centric and storage-centric, “ said K.S.Pua, CEO of Phison. “Through our collaboration with MSI, we are bringing together advanced AI computing platforms and Phison’s aiDAPTIV™ technology to make enterprise AI deployment more accessible, scalable, and economically viable. From AI PCs to AI servers, our shared vision is to enable organizations of all sizes to deploy, fine-tune, and run AI models locally while maintaining control of their data. Together, MSI and Phison are helping accelerate the next wave of AI adoption and infrastructure innovation worldwide." The collaboration between MSI and Phison reflects both companies’ shared commitment to accelerating enterprise AI innovation and expanding access to practical, locally deployed AI technologies for commercial deployments.

MSI Brings Liquid-Cooled NVIDIA MGX and NVIDIA DGX Station to COMPUTEX 2026

Taipei, Taiwan – Jun. 3, 2026 – MSI, a global leader in high-performance server solutions, returns to COMPUTEX 2026 (Booth #J0605a) with liquid-cooled AI platforms built on NVIDIA MGX and NVIDIA DGX Station architectures for large-scale AI infrastructure and deskside AI development. Designed for demanding AI workloads, the CG681-S6093 AI server and XpertStation WS300 based on NVIDIA DGX Station architecture, deliver high-performance AI computing from data centers to deskside AI workflows.   “As AI infrastructure continues scaling in performance and density, liquid cooling is becoming essential for modern AI data centers,” said Danny Hsu, General Manager of MSI’s Enterprise Platform Solutions. “MSI combines liquid-cooled system design with NVIDIA AI platforms to help customers deploy scalable AI infrastructure with greater performance and efficiency.” CG681-S6093 6U Liquid-Cooled AI Server and NVIDIA MGX Rack-Scale Architecture Built on NVIDIA MGX architecture, the CG681-S6093 6U liquid-cooled AI server supports dual AMD EPYC™ processors and up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs supporting up to 1200W TDP, delivering the compute density required for AI training and HPC workloads. Equipped with NVIDIA ConnectX-8 SuperNICs providing up to 8×400Gbps Ethernet connectivity, the platform enables high-bandwidth, low-latency communication for distributed AI environments, with a liquid-cooled architecture designed to sustain peak multi-GPU performance. At the rack level, the liquid-cooled rack-scale system supports up to 4 CG681-S6093 GPU systems within a 48RU configuration, enabling scalable compute for multi-node AI workloads. NVIDIA Spectrum-4 SN5600 scale-out Ethernet and SN2201 out-of-band switches provide high-performance connectivity across AI clusters, while integrated power and thermal design help sustain performance and streamline deployment for large-scale AI training and inference. XpertStation WS300 Desktop AI Supercomputer The XpertStation WS300 based on NVIDIA DGX Station architecture, brings data-center-class AI computing to the desktop for AI development, fine-tuning, and inference workloads. Powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip with up to 748GB coherent memory and 7.1TB/s HBM3e bandwidth, the system supports Windows-based AI development while enabling high-speed CPU-GPU data sharing for large AI models and data-intensive workflows. Dual 400GbE networking powered by NVIDIA ConnectX-8 SuperNIC supports high-bandwidth connectivity for multi-node AI workflows, while the liquid-cooled design helps sustain AI performance within a compact form factor. During COMPUTEX week, the XpertStation WS300 is also showcased in NVIDIA GTC Taipei, at Taipei International Convention Center, which brings together more applications and use cases.

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 future 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.