GIGABYTE MS33-AR1 Motherboard-CPU Max Series Processors–E-ATX DP–350W

The GIGABYTE MS33-AR1 is a dual-socket E-ATX server motherboard purpose-built for the Intel Xeon Max Series Processors, offering extreme compute density, high memory bandwidth, and balanced power efficiency. Designed for HPC clusters, AI/ML workloads, cloud data centers, and enterprise applications, this platform integrates DDR5 memory, PCIe Gen5 expansion, and advanced remote management. With a 350W CPU TDP per socket, it delivers optimized performance-per-watt for next-generation compute environments.

Key Features

• Processor Support
  • Dual-socket support for Intel Xeon Max Series Processors (LGA4677 platform).
  • Supports CPUs with integrated HBM2e memory (on select SKUs) for extreme bandwidth.
  • Optimized for parallel computing, HPC, and data-intensive workloads.
• Form Factor
  • E-ATX (305 x 330mm), dual-processor layout.
  • Rackmount-ready design for enterprise and supercomputing clusters.
• Memory
  • DDR5 RDIMM/LRDIMM support with large capacity scaling.
  • Integrated High Bandwidth Memory (HBM2e) on Xeon Max CPUs delivers up to 1TB/s memory bandwidth.
  • ECC support for mission-critical data reliability and stability.
• Expansion Capability
  • Multiple PCIe Gen5 slots for GPUs, accelerators, DPUs, or high-performance NICs.
  • Ideal for AI training, deep learning, and HPC acceleration workloads.
• Storage Options
  • SATA 6Gb/s ports for HDD/SSD storage integration.
  • M.2 NVMe Gen4/Gen5 slots for ultra-fast SSD performance.
  • RAID configuration for enterprise-grade redundancy and reliability.
• Networking
  • Integrated dual LAN controllers (1GbE/10GbE options depending on SKU).
  • Expandable up to 100/200GbE networking via PCIe NICs for hyperscale data centers.
• Power & Efficiency
  • Optimized for 350W TDP per socket, ensuring balanced compute density and energy efficiency.
  • Advanced thermal management ensures stability under sustained workloads.
• Remote Management
  • Integrated AST2600 BMC with IPMI 2.0 & Redfish API.
  • Full remote monitoring and control for CPU, memory, power, thermals, and storage health.

Applications

• High-Performance Computing (HPC) – Scientific research, modeling, and supercomputing workloads.
• Artificial Intelligence & Machine Learning – Multi-GPU AI training, inference, and big data analytics.
• Cloud & Virtualization – Dual-socket scalability for SaaS, PaaS, and IaaS platforms.
• Enterprise Databases & Storage – Designed for high-throughput databases and scalable storage infrastructures.
• Government, Research & Defense – Suitable for mission-critical compute environments requiring reliability and speed.