Thursday, October 17th 2024
MSI Unveils AI Servers Powered by NVIDIA MGX at OCP 2024
MSI, a leading global provider of high-performance server solutions, proudly announced it is showcasing new AI servers powered by the NVIDIA MGX platform—designed to address the increasing demand for scalable, energy-efficient AI workloads in modern data centers—at the OCP Global Summit 2024, booth A6. This collaboration highlights MSI's continued commitment to advancing server solutions, focusing on cutting-edge AI acceleration and high-performance computing (HPC).
The NVIDIA MGX platform offers a flexible architecture that enables MSI to deliver purpose-built solutions optimized for AI, HPC, and LLMs. By leveraging this platform, MSI's AI server solutions provide exceptional scalability, efficiency, and enhanced GPU density—key factors in meeting the growing computational demands of AI workloads. Tapping into MSI's engineering expertise and NVIDIA's advanced AI technologies, these AI servers based on the MGX architecture deliver unparalleled compute power, positioning data centers to maximize performance and power efficiency while paving the way for the future of AI-driven infrastructure.According to Danny Hsu, General Manager of MSI's Enterprise Platform Solutions, "We're excited to introduce our AI servers powered by NVIDIA MGX, designed for maximum scalability and performance. This collaboration strengthens MSI's position in the AI and HPC markets, helping customers achieve new levels of efficiency and power optimization in their data centers, especially for demanding LLM and AI workloads."
MSI continues to drive innovation in AI and HPC with the launch of two new AI servers powered by NVIDIA MGX: the CG480-S5063 and CG290-S8023. The CG480-S5063 4Userver with NVIDIA MGX, featuring dual Intel Xeon 6 processors, 8 FHFL dual width GPU slots, and 32 DDR5 DIMM slots, offers massive memory bandwidth and compute power, ensuring scalability for AI, LLM, and data analytics workloads. The CG290-S8023 2U AI server, powered by the NVIDIA GB200 NVL2 platform, combining 2 NVIDIA Grace CPUs and 2 NVIDIA Blackwell GPUs with 1344 GB on-package memory, delivers exceptional performance for AI inference and training, LLM processing, and optimizing data throughput while minimizing latency for efficient and high-density AI applications, ensuring future-proof AI infrastructure for data centers.
The NVIDIA MGX platform offers a flexible architecture that enables MSI to deliver purpose-built solutions optimized for AI, HPC, and LLMs. By leveraging this platform, MSI's AI server solutions provide exceptional scalability, efficiency, and enhanced GPU density—key factors in meeting the growing computational demands of AI workloads. Tapping into MSI's engineering expertise and NVIDIA's advanced AI technologies, these AI servers based on the MGX architecture deliver unparalleled compute power, positioning data centers to maximize performance and power efficiency while paving the way for the future of AI-driven infrastructure.According to Danny Hsu, General Manager of MSI's Enterprise Platform Solutions, "We're excited to introduce our AI servers powered by NVIDIA MGX, designed for maximum scalability and performance. This collaboration strengthens MSI's position in the AI and HPC markets, helping customers achieve new levels of efficiency and power optimization in their data centers, especially for demanding LLM and AI workloads."
MSI continues to drive innovation in AI and HPC with the launch of two new AI servers powered by NVIDIA MGX: the CG480-S5063 and CG290-S8023. The CG480-S5063 4Userver with NVIDIA MGX, featuring dual Intel Xeon 6 processors, 8 FHFL dual width GPU slots, and 32 DDR5 DIMM slots, offers massive memory bandwidth and compute power, ensuring scalability for AI, LLM, and data analytics workloads. The CG290-S8023 2U AI server, powered by the NVIDIA GB200 NVL2 platform, combining 2 NVIDIA Grace CPUs and 2 NVIDIA Blackwell GPUs with 1344 GB on-package memory, delivers exceptional performance for AI inference and training, LLM processing, and optimizing data throughput while minimizing latency for efficient and high-density AI applications, ensuring future-proof AI infrastructure for data centers.
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