GIGABYTE MZ72-HB2 Motherboard-7003/7002 Series Processors–E-ATX DP–280W

The GIGABYTE MZ72-HB2 is a dual-socket E-ATX server motherboard designed to support AMD EPYC™ 7003 (Milan) and 7002 (Rome) Series Processors. Built for data centers, HPC, virtualization, and enterprise workloads, it combines multi-core scalability, DDR4 memory bandwidth, and PCIe Gen4 connectivity to deliver balanced performance and efficiency. With a 280W CPU TDP envelope per socket, this board provides enterprise-class reliability while ensuring energy-conscious operation in 24/7 environments.

Key Features

• Processor Support
  • Dual-socket support for AMD EPYC™ 7003 / 7002 (Socket SP3) processors.
  • Up to 128 cores / 256 threads in 2P configuration.
  • Optimized for parallel workloads and high-performance data center applications.
• Form Factor
  • E-ATX (305 x 330mm) dual-processor layout.
  • Rackmount-ready for enterprise and HPC clusters.
• Memory
  • 8-channel DDR4 memory per CPU, delivering high throughput.
  • Supports ECC DDR4 RDIMM/LRDIMM/3DS LRDIMM.
  • Capacity up to 4TB+, depending on DIMM configuration.
  • ECC-enabled for mission-critical reliability and error correction.
• Expansion Capability
  • Multiple PCIe Gen4 slots for GPUs, accelerators, storage controllers, and NICs.
  • Ideal for AI/ML training, HPC acceleration, and virtualization environments.
• Storage Options
  • Multiple SATA 6Gb/s ports for enterprise SSD/HDD integration.
  • M.2 NVMe slots for ultra-fast SSDs.
  • RAID support for redundancy and enterprise data protection.
• Networking
  • Integrated dual LAN ports (1GbE/10GbE depending on SKU).
  • Expandable to 25/40/100GbE with PCIe NICs for hyperscale deployments.
• Power & Efficiency
  • Optimized for 280W TDP per socket, delivering efficiency and high compute density.
  • Advanced thermal design ensures stable 24/7 operation.
• System Management
  • Integrated AST2500/AST2600 BMC with IPMI 2.0 & Redfish API.
  • Enables full remote management of CPU, memory, power, thermals, and storage health.

Applications

• High-Performance Computing (HPC) – Simulations, modeling, and advanced research.
• Artificial Intelligence & Machine Learning – Scales with GPUs/accelerators for AI training and inference.
• Cloud & Virtualization – Ideal for SaaS, PaaS, and IaaS workloads.
• Enterprise Storage & Databases – Handles in-memory databases, large-scale analytics, and data-intensive tasks.
• Telecom & Edge Data Centers – Suitable for NFV, SDN, and distributed compute environments.