GIGABYTE MA34-CP0 Motherboard-6900 Series Processors–E-ATX DP–500W

The GIGABYTE MA34-CP0 is a dual-socket E-ATX server motherboard designed to support the AMD EPYC™ 6900 Series Processors (SP5 platform). Built for compute-intensive enterprise and HPC workloads, it combines next-generation DDR5 memory support, PCIe Gen5 expansion, and robust remote management. With a 500W CPU TDP per socket, the MA34-CP0 is optimized for AI/ML training, big-data analytics, hyperscale cloud deployments, and enterprise storage systems.

Key Features

• Processor Support
  • Dual-socket AMD EPYC™ 6900 Series (SP5) processors.
  • Supports up to 128 cores / 256 threads in a 2P configuration.
  • Engineered for performance-per-watt optimization in demanding compute environments.
• Form Factor
  • E-ATX (305 x 330mm) dual-processor layout.
  • Designed for enterprise rackmount and hyperscale deployments.
• Memory
  • 12-channel DDR5 memory per CPU for maximum bandwidth.
  • Supports ECC DDR5 RDIMM/LRDIMM with scalability beyond 4TB total.
  • ECC error correction ensures high reliability and data integrity.
• Expansion Capability
  • Multiple PCIe Gen5 slots for GPUs, DPUs, FPGAs, and high-performance NICs.
  • Future-proof bandwidth for AI, HPC, and virtualization workloads.
• Storage Options
  • SATA 6Gb/s ports for SSD/HDD integration.
  • M.2 NVMe Gen4/Gen5 slots for ultra-fast enterprise SSDs.
  • RAID support for redundancy and enterprise-class data protection.
• Networking
  • Integrated dual LAN controllers (1GbE/10GbE options depending on SKU).
  • Expandable with 25/40/100/200GbE NICs via PCIe for hyperscale networking needs.
• Power & Efficiency
  • Optimized for 500W TDP per socket, enabling deployment of higher-core EPYC SKUs.
  • Advanced thermal and power design ensures stable 24/7 operation.
• System Management
  • Built-in AST2600 BMC with IPMI 2.0 & Redfish API.
  • Full remote monitoring for CPU, memory, thermals, storage, and power subsystems.

Applications

• High-Performance Computing (HPC) – Scientific research, large-scale modeling, and advanced simulations.
• Artificial Intelligence & Machine Learning – Multi-GPU clusters for training, inference, and big data analytics.
• Cloud & Virtualization – Dual-socket scalability for SaaS, PaaS, and IaaS workloads.
• Enterprise Databases & Storage – Optimized for large memory databases, analytics, and scalable storage nodes.
• Telecom & Edge Data Centers – Ideal for NFV, 5G infrastructure, and distributed compute environments.