GIGABYTE MS73-HB1 Motherboard-Dual Processors–E-ATX DP–270W

The GIGABYTE MS73-HB1 is a dual-socket E-ATX server motherboard engineered for enterprise and data center applications that require a balance of compute density, expandability, and energy efficiency. Designed to support dual processors in a 270W CPU TDP envelope, it is optimized for cloud services, virtualization, networking, storage, and edge deployments. With DDR4/DDR5 ECC memory support (depending on CPU family), PCIe expansion, and advanced remote management, the MS73-HB1 delivers reliable 24/7 performance in demanding environments.

Key Features

• Processor Support
  • Dual-socket support for high-performance server-grade processors (Intel Xeon or AMD EPYC families, depending on SKU).
  • Optimized to deliver strong performance-per-watt within a 270W TDP per socket.
  • Designed for scale-out enterprise workloads.
• Form Factor
  • E-ATX (305 x 330mm) dual-processor layout.
  • Rackmount-ready for enterprise data centers and cloud platforms.
• Memory
  • Supports ECC DDR4/DDR5 RDIMM/LRDIMM (CPU-dependent).
  • Large capacity scaling for memory-intensive workloads.
  • ECC ensures error-free computing and reliability.
• Expansion Capability
  • Multiple PCIe Gen4/Gen5 slots for accelerators, GPUs, DPUs, and NICs.
  • Flexible configuration for AI inference, networking, and storage expansion.
• Storage Options
  • SATA 6Gb/s ports for enterprise HDD/SSD arrays.
  • M.2 NVMe slots for ultra-fast SSD storage.
  • RAID support for redundancy and high-availability storage.
• Networking
  • Integrated dual LAN ports (1GbE/10GbE based on SKU).
  • Expandable to 25/40/100GbE via PCIe NICs for hyperscale data center networking.
• Power & Efficiency
  • Optimized for 270W TDP per CPU socket, ensuring efficient compute performance for enterprise workloads.
  • Advanced thermal solutions ensure stability in 24/7 continuous operation.
• System Management
  • Integrated AST2600 BMC with IPMI 2.0 & Redfish API support.
  • Full remote monitoring of CPU, memory, power, thermals, and storage health.

Applications

• Cloud Computing & Virtualization – Optimized for SaaS, PaaS, and IaaS environments.
• Networking & Telecom – Suitable for SDN, NFV, and 5G infrastructure.
• Enterprise Storage Nodes – Robust memory and storage support for scalable storage solutions.
• Edge Data Centers – Efficient compute platform for distributed workloads.
• AI Inference & Analytics – Supports PCIe accelerators for data analytics and lightweight AI tasks.