From Rack Integration to AI and Cloud Systems: MSI Debuts Full-Spectrum Server Portfolio at COMPUTEX 2025

MSI Taiwan New York California

(Air Cooling)
This air-cooled 2U 4-Node system supports up to 400W TDP and delivers energy-efficient compute, with 12 DDR5 DIMM slots and 3 U.2 NVMe bays per node. Designed for virtualization, container hosting, and private cloud clusters.CD270-S4051-X2
A 2U 2-Node server optimized for space efficiency and compute density. Each node includes 12 DDR5 DIMM slots and 6 U.2 NVMe bays, making it suitable for general-purpose virtualization and edge cloud nodes.

Intel Xeon 6 Processor-Based Platform for Containerized and General-Purpose Cloud Services

CD270-S3061-X4
A 2U 4-Node Intel Xeon 6700/6500 server supporting 16 DDR5 DIMM slots and 3 U.2 NVMe bays per node. Ideal for containerized services and mixed cloud workloads requiring balanced compute density.CD270-S3061-X2
This compact 2U 2-Node Intel Xeon 6700/6500 system features 16 DDR5 DIMM slots and 6 U.2 NVMe bays per node, delivering strong compute and storage capabilities for core infrastructure and scalable cloud services.CD270-S3071-X2
A 2U 2-Node Intel Xeon 6900 system designed for I/O-heavy workloads, with 12 DDR5 DIMM slots and 6 U.2 bays per node. Suitable for storage-centric applications and data-intensive applications in the cloud.

AI Platforms with NVIDIA MGX & DGX Station for AI Deployment
MSI presents a comprehensive lineup of AI-ready platforms, including NVIDIA MGX-based servers and the DGX Station built on NVIDIA Grace and Blackwell architecture. The MGX lineup spans 4U and 2U form factors optimized for high-density AI training and inference, while the DGX Station delivers datacenter-class performance in a desktop chassis for on-premises model development and edge AI deployment.

AI Platforms with NVIDIA MGX

CG480-S5063 (Intel) / CG480-S6053 (AMD)
The 4U MGX GPU server is available in two CPU configurations, CG480-S5063 with dual Intel Xeon 6700/6500 processors, and CG480-S6053 with dual AMD EPYC 9005 Series processors, offering flexibility across CPU ecosystems. Both systems support up to 8 FHFL dual-width PCIe 5.0 GPUs in air-cooled datacenter environments, making them ideal for deep learning training, generative AI, and high-throughput inferencing.

The Intel-based CG480-S5063 features 32 DDR5 DIMM slots and supports up to 20 front E1.S NVMe bays, ideal for memory- and I/O-intensive deep learning pipelines, including large-scale LLM workloads, NVIDIA OVX™, and digital twin simulations.CG290-S3063
A compact 2U MGX server powered by a single Intel Xeon 6700/6500 processor, supporting 16 DDR5 DIMM slots and 4 FHFL dual-width GPU slots. Designed for edge inferencing and lightweight AI training, it suits space-constrained deployments where inference latency and power efficiency are key.

DGX Station 
The CT60-S8060 is a high-performance AI station built on the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, delivering up to 20 PFLOPS of AI performance and 784GB of unified memory. It also features the NVIDIA ConnectX-8 SuperNIC, enabling up to 800Gb/s networking for high-speed data transfer and multi-node scaling. Designed for on-prem model training and inferencing, the system supports multi-user workloads and can operate as a standalone AI workstation or a centralized compute resource for R&D teams.

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