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MSI demonstrated liquid-cooled AI infrastructure platforms including Nvidia MGX and DGX at Computex 2026.

Liquid cooling and integrated platform designs reduce power-per-compute density, enabling denser datacenter deployments.
Trade pressSlicast · June 2, 2026 · Global · Source: finanznachrichten.de
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MSI showcased 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. According to Danny Hsu, General Manager of MSI's Enterprise Platform Solutions, "Scaling AI infrastructure now requires a balance between compute performance, thermal efficiency, and deployment flexibility," noting that "MSI's AI platform portfolio is designed to support AI deployment from rack-scale infrastructure to local AI development."

MSI expanded its infrastructure portfolio with OCP ORv3 liquid-cooled and standard EIA air-cooled rack architectures for modern data centers. 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, enabling 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 and offering both AMD EPYC 9005 and Intel Xeon 6 platform options for deployment flexibility.

MSI's NVIDIA-based AI infrastructure portfolio spans GPU-accelerated AI servers and desktop AI supercomputing platforms. 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. 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, powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, supporting up to 748GB coherent memory and 7.1TB/s HBM3e bandwidth, with dual 400GbE networking via NVIDIA ConnectX-8 SuperNICs and liquid-cooled thermal design enabling data-center-class AI computing within a compact deskside form factor.

MSI's DC-MHS and enterprise platform portfolio includes both 21" Open Compute and 19" Core Compute multi-node platforms for hyperscale and cloud data centers. 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, while the 19" Core Compute portfolio spans 2U2N and 2U4N platforms for enterprise and cloud infrastructure deployment within standard 19" EIA rack environments. The enterprise platform portfolio also spans DC-MHS enterprise servers, modular HPMs supporting M-DNO Type-2, M-DNO Type-4, and M-FLW form factors, and standard enterprise motherboards for cloud and enterprise infrastructure deployment.

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MSI demonstrated liquid-cooled AI… · Slicast