The GIGABYTE MD72-HB3 is a dual-socket E-ATX server motherboard engineered for enterprise, data center, and edge computing environments where efficiency, expandability, and reliability are critical. Supporting dual high-performance processors within a 270W TDP per socket, this platform delivers balanced performance-per-watt with advanced support for DDR4/DDR5 ECC memory, PCIe expansion, and remote management. Optimized for virtualization, cloud computing, storage systems, and telecom workloads, the MD72-HB3 is a versatile and future-ready server foundation.
Key Features
- Processor Support
- Dual-socket support for server-class processors (Intel Xeon Scalable or AMD EPYC, depending on SKU).
- Designed to deliver multi-core scalability and parallelism.
- 270W CPU TDP per socket for energy-efficient compute density.
- Form Factor
- E-ATX (305 x 330mm) dual-processor layout.
- Rackmount-ready for enterprise and cloud data center deployments.
- Memory
- Supports ECC DDR4/DDR5 RDIMM/LRDIMM (CPU-dependent).
- Large memory capacity to handle data-intensive and virtualized workloads.
- ECC ensures data integrity and mission-critical reliability.
- Expansion Capability
- Multiple PCIe Gen4/Gen5 slots for accelerators, NICs, or storage controllers.
- Ideal for AI inference, networking, or storage acceleration.
- Storage Options
- Multiple SATA 6Gb/s ports for HDD/SSD arrays.
- M.2 NVMe slots for high-speed enterprise SSDs.
- RAID support for redundancy and enterprise-class data protection.
- Networking
- Integrated dual LAN controllers (1GbE/10GbE depending on SKU).
- Expandable via PCIe to 25/40/100GbE for hyperscale networking.
- Power & Efficiency
- Optimized for 270W CPU TDP envelope per socket, balancing high compute performance with efficiency.
- Thermal design ensures stable 24/7 continuous operation.
- System Management
- Integrated AST2600 BMC with IPMI 2.0 & Redfish API support.
- Enables remote health monitoring for CPU, memory, power, storage, and thermals.
Applications
- Cloud Computing & Virtualization – Ideal for SaaS, PaaS, and IaaS workloads.
- Enterprise Storage Systems – Scalable platform for storage nodes and high-capacity arrays.
- AI Inference & Analytics – PCIe accelerator-ready for analytics and machine learning tasks.
- Telecom & Networking – Designed for NFV, SDN, and 5G core infrastructure.
- Edge Data Centers – Compact and efficient dual-socket platform for distributed compute.