GIGABYTE MZ32-AR0 Motherboard-7003/7002 Series Processors–E-ATX DP–280W

The GIGABYTE MZ32-AR0 is a dual-socket E-ATX server motherboard designed to support the AMD EPYC™ 7003 (Milan) and 7002 (Rome) Series Processors. With extreme core scalability, high memory bandwidth, and PCIe 4.0 expansion, it provides the perfect foundation for HPC, AI/ML, virtualization, enterprise databases, and cloud computing. Operating at a 280W CPU TDP per socket, the MZ32-AR0 balances performance and efficiency for modern data center demands.

Key Features

• Processor Support
  • Dual-socket AMD EPYC™ 7003 / 7002 Series (Socket SP3) processors.
  • Supports up to 128 cores / 256 threads in 2P configuration.
  • Optimized for multi-threaded HPC and enterprise workloads.
• Form Factor
  • E-ATX (305 x 330mm) form factor.
  • Rackmount-ready for integration into enterprise and cloud servers.
• Memory
  • 8-channel DDR4 memory per CPU, providing high bandwidth.
  • Supports ECC DDR4 RDIMM/LRDIMM/3DS LRDIMM.
  • Capacity up to 4TB+ depending on DIMM configuration.
  • ECC ensures mission-critical data reliability and stability.
• Expansion Capability
  • Multiple PCIe Gen4 slots for GPUs, FPGAs, storage controllers, and high-performance NICs.
  • Designed for AI acceleration, HPC scaling, and virtualization workloads.
• Storage Options
  • SATA 6Gb/s ports for enterprise HDD/SSD arrays.
  • M.2 NVMe Gen4 slots for ultra-fast SSDs.
  • RAID functionality for data redundancy and enterprise data protection.
• Networking
  • Integrated dual LAN ports (1GbE/10GbE depending on SKU).
  • Expandable up to 25/40/100GbE with PCIe-based NICs for hyperscale networking.
• Power & Efficiency
  • Designed for 280W TDP per socket, delivering efficient performance-per-watt.
  • Optimized thermal design ensures 24/7 continuous operation.
• System Management
  • Integrated AST2500 BMC with IPMI 2.0 & Redfish API.
  • Remote server management for monitoring CPU, memory, thermals, power, and storage health.

Applications

• High-Performance Computing (HPC) – Modeling, simulation, and advanced scientific research.
• Artificial Intelligence & Machine Learning – Supports accelerators for training, inference, and analytics.
• Cloud & Virtualization – Reliable dual-socket platform for SaaS, PaaS, and IaaS.
• Enterprise Databases & Storage – Optimized for high-throughput data, analytics platforms, and storage clusters.
• Telecom & Edge Data Centers – Suitable for NFV, SDN, and real-time edge workloads.