GIGABYTE MU72-SU0 Motherboard-W-3300-Series Processors–ATX UP–270W

The GIGABYTE MU72-SU0 is a workstation-class ATX motherboard designed to harness the power of Intel Xeon W-3300 Series Processors. Built for professional creators, engineers, and researchers, it delivers uncompromising compute performance, high memory bandwidth, and enterprise-level reliability. With a 270W TDP envelope, this platform is ideal for AI development, 3D rendering, CAD/CAE, simulations, and professional content creation.

Key Features

• Processor Support
  • Supports Intel Xeon W-3300 Series Processors (Socket LGA4189).
  • Up to 38 cores / 76 threads, providing extreme parallel performance.
  • Optimized for compute-intensive professional workloads.
• Form Factor
  • ATX (305 x 244mm) standard layout.
  • Compact and versatile, suitable for workstation towers and rackmount chassis.
• Memory
  • Supports 8-channel DDR4 RDIMM/LRDIMM memory architecture.
  • Capacity up to 2TB ECC memory, ensuring data accuracy and stability.
  • ECC Registered memory support for error-free enterprise-grade operations.
• Expansion Capability
  • Multiple PCIe 4.0 slots for GPUs, accelerators, or high-speed I/O cards.
  • Perfect for multi-GPU rendering, simulation, and AI/ML training workloads.
• Storage Options
  • SATA 6Gb/s ports for HDD/SSD arrays.
  • Dual M.2 NVMe slots for ultra-fast SSD performance.
  • RAID configuration support for redundancy and performance.
• Networking
  • Integrated dual Intel 10GbE LAN ports for high-speed connectivity.
  • Optional expansion via PCIe NICs for advanced networking requirements.
• Power Efficiency
  • Optimized for 270W TDP processors, offering high compute density while maintaining energy efficiency.
  • Enhanced thermal design for sustained heavy workloads.
• System Management
  • Features AST2600 BMC with IPMI 2.0 & Redfish API for remote monitoring.
  • Advanced system health monitoring (CPU, memory, thermals, and power).

Applications

• Professional Workstations – CAD, CAE, and professional visualization platforms.
• AI/ML Development – Ideal for model training and inference tasks with GPU accelerators.
• 3D Rendering & VFX – Supports multiple GPUs for demanding rendering pipelines.
• Scientific Research & Simulation – HPC-grade performance for simulation and data analytics.
• Enterprise IT & Virtualization – Reliable platform for small-scale servers or workstation-class virtualization.