GIGABYTE MP72-HB0 Motherboard-Altra Max Processors–E-ATX DP–250W

The GIGABYTE MP72-HB0 is a dual-socket E-ATX server motherboard designed to support Ampere® Altra Max processors, delivering high-core-count Arm-based performance for cloud-native, hyperscale, and edge data center deployments. Built for efficiency, scalability, and workload parallelism, it integrates DDR4 ECC memory, PCIe Gen4 expansion, and advanced system management. With a 250W CPU TDP envelope per socket, the MP72-HB0 provides balanced compute density and power efficiency, making it an excellent fit for modern, energy-conscious infrastructures.

Key Features

• Processor Support
  • Dual-socket support for Ampere® Altra Max processors (Arm Neoverse N1 cores).
  • Up to 128 cores per CPU, delivering massive thread-level parallelism.
  • Optimized for cloud-native, scale-out, and microservices-driven workloads.
• Form Factor
  • E-ATX (305 x 330mm) dual-processor board.
  • Rackmount-ready for data centers and distributed edge infrastructures.
• Memory
  • 8-channel DDR4 memory per CPU.
  • Supports ECC RDIMM/LRDIMM with high-capacity scaling.
  • ECC ensures data integrity and reliability for mission-critical services.
• Expansion Capability
  • Multiple PCIe Gen4 slots for accelerators, NICs, and storage controllers.
  • Ideal for high-speed networking and I/O-intensive workloads.
• Storage Options
  • SATA 6Gb/s ports for traditional HDD/SSD storage arrays.
  • M.2 NVMe slots for high-performance enterprise SSDs.
  • RAID support for redundancy and enterprise-class storage protection.
• Networking
  • Integrated dual LAN controllers (1GbE/10GbE depending on SKU).
  • Expandable to 25/40/100GbE through PCIe add-in NICs.
• Power & Efficiency
  • Optimized for 250W TDP per socket, enabling excellent performance-per-watt.
  • Energy-conscious design lowers operational costs in hyperscale environments.
• System Management
  • Onboard AST2600 BMC with IPMI 2.0 & Redfish API.
  • Remote monitoring of CPU, memory, storage, power, and thermals.

Applications

• Cloud-Native Computing – Optimized for containerized workloads, Kubernetes clusters, and microservices.
• Hyperscale Data Centers – Power-efficient Arm-based platform for scale-out architectures.
• Edge Computing – Ideal for distributed infrastructures requiring low-power, high-density compute.
• Enterprise Storage & Networking – Scalable I/O for storage appliances and SDN/NFV deployments.
• Web & Application Hosting – High-core density for SaaS/PaaS/IaaS workloads.