GIGABYTE MZ73-LM0 Motherboard-9005/9004 Series Processors–E-ATX DP–400W

The GIGABYTE MZ73-LM0 is a high-performance E-ATX dual-processor server motherboard designed to support the AMD EPYC™ 9005 (Turin) and 9004 (Genoa/Bergamo) Series Processors. With dual-socket scalability, next-generation DDR5 memory, and PCIe Gen5 expansion, it delivers extreme compute density, bandwidth, and efficiency. Optimized within a 400W CPU TDP envelope, this board is ideal for HPC clusters, AI/ML, cloud computing, virtualization, and enterprise storage infrastructures.

Key Features

• Processor Support
  • Supports dual-socket AMD EPYC™ 9005 / 9004 Series Processors (SP5).
  • Up to 192 cores / 384 threads with 2P configuration.
  • Optimized for maximum performance-per-watt in enterprise and HPC workloads.
• Form Factor
  • E-ATX (305 x 330mm) dual-processor server board.
  • Built for rackmount server deployments with high scalability.
• Memory
  • 12-channel DDR5 RDIMM/LRDIMM memory architecture per CPU.
  • Supports up to 4TB+ ECC DDR5 memory (capacity depending on SKU).
  • ECC support ensures mission-critical reliability.
• Expansion Capability
  • Multiple PCIe Gen5 slots for GPUs, accelerators, and high-performance I/O.
  • Suitable for multi-GPU AI training, FPGA acceleration, or high-speed networking.
• Storage Options
  • Multiple SATA 6Gb/s ports for HDD/SSD storage.
  • 2 NVMe Gen4/Gen5 slots for ultra-fast SSDs.
  • RAID support for redundancy and enterprise-grade storage management.
• Networking
  • Integrated dual LAN ports (1GbE/10GbE depending on configuration).
  • Expandable via PCIe NICs to 25/40/100/200GbE, supporting hyperscale networking.
• Power Efficiency
  • Optimized for 400W CPU TDP per socket, providing balance between compute density and energy efficiency.
  • Advanced thermal and power design ensures sustained heavy workloads in 24/7 environments.
• Remote Management
  • Equipped with AST2600 BMC, IPMI 2.0 & Redfish API.
  • Full remote monitoring for CPU, memory, thermals, storage, and power.

Applications

• High-Performance Computing (HPC) – Scientific modeling, engineering simulations, and research workloads.
• Artificial Intelligence & Machine Learning – Multi-GPU clusters for AI training and inference.
• Cloud Computing & Virtualization – Scale-out servers for SaaS/PaaS/IaaS data centers.
• Enterprise Databases & Storage – Optimized for big-data workloads, enterprise storage nodes, and in-memory databases.
• Telecom & Edge Data Centers – Future-ready for 5G, edge analytics, and real-time compute.