GIGABYTE MS33-CP0 Motherboard-CPU Max Series Processors–E-ATX DP–350W

The GIGABYTE MS33-CP0 is a dual-socket E-ATX server motherboard designed for the Intel Xeon Max Series Processors, delivering breakthrough performance for HPC, AI/ML, scientific research, and enterprise workloads. With support for DDR5 memory, PCIe Gen5 expansion, and advanced remote management, this board is optimized for compute-heavy environments requiring high bandwidth and efficient scalability. Operating within a 350W CPU TDP per socket, the MS33-CP0 provides an ideal balance between performance and energy efficiency.

Key Features

• Processor Support
  • Dual-socket configuration for Intel Xeon Max Series Processors (LGA4677 platform).
  • Optimized for high core counts, integrated HBM (High Bandwidth Memory) SKUs, and compute-intensive workloads.
  • Purpose-built for HPC and AI acceleration.
• Form Factor
  • E-ATX (305 x 330mm) dual-processor layout.
  • Rackmount-ready design for data center and enterprise clusters.
• Memory
  • Supports DDR5 RDIMM/LRDIMM memory, providing high bandwidth and efficiency.
  • Select SKUs support HBM2e memory integrated into Xeon Max CPUs for extreme performance.
  • ECC-enabled memory for error correction and mission-critical stability.
• Expansion Capability
  • Multiple PCIe Gen5 slots for GPUs, FPGAs, DPUs, and high-performance NICs.
  • Delivers maximum I/O throughput for AI/ML clusters and HPC environments.
• Storage Options
  • SATA 6Gb/s ports for enterprise HDD/SSD arrays.
  • M.2 NVMe Gen4/Gen5 slots for high-speed SSDs.
  • RAID support for redundancy and enterprise-class storage management.
• Networking
  • Integrated dual LAN options (1GbE/10GbE) for baseline connectivity.
  • Expandable up to 100/200GbE with PCIe-based NICs for hyperscale networking.
• Power & Efficiency
  • Optimized for 350W CPU TDP per socket, ensuring sustained performance in dense compute environments.
  • Balanced power design for energy-efficient HPC and AI deployments.
• System Management
  • Equipped with AST2600 BMC with IPMI 2.0 & Redfish API support.
  • Provides full remote monitoring of CPU, memory, thermals, power, and storage health.

Applications

• High-Performance Computing (HPC) – Designed for simulations, modeling, and scientific research requiring extreme parallelism.
• Artificial Intelligence & Machine Learning – Multi-GPU training, inference, and big-data analytics.
• Cloud & Virtualization – Dual-socket scalability for large-scale SaaS, PaaS, and IaaS platforms.
• Enterprise Databases & Storage – Supports memory-intensive and high-throughput storage workloads.
• Supercomputing Clusters – Ideal for government, defense, and research labs needing top-tier compute density.