The GIGABYTE MS03-CE0 is a high-performance ATX motherboard built to support Intel Xeon Max-Series Processors, offering exceptional compute power, memory bandwidth, and efficiency for enterprise and HPC workloads. With a 350W optimized power envelope, it provides the ideal balance of processing density, scalability, and energy efficiency—perfect for AI/ML, HPC, cloud, and enterprise-grade applications.
Key Features
- Processor Support
- Compatible with Intel Xeon Max-Series Processors, designed for compute-intensive workloads.
- Optimized architecture for HPC, AI, and data analytics applications.
- Form Factor
- ATX (305 x 244mm) design for broad compatibility with rackmount and tower server chassis.
- Compact footprint with full enterprise-class expansion capability.
- Memory
- Supports DDR5 RDIMM/LRDIMM and optional HBM (High Bandwidth Memory), depending on CPU SKU.
- Up to 8 DIMM slots, enabling large-capacity configurations for high-performance workloads.
- ECC support ensures error correction for critical data integrity.
- Expansion Slots
- Multiple PCIe Gen5 slots for accelerators, GPUs, NICs, and storage expansion.
- Future-ready bandwidth for next-generation AI accelerators and storage controllers.
- Storage Options
- SATA 6Gb/s ports for HDD/SSD integration.
- 2 NVMe Gen4/Gen5 slots for ultra-fast storage throughput.
- RAID support for enterprise-class redundancy and data protection.
- Networking
- Onboard 1GbE/10GbE LAN options depending on SKU.
- Expandable with 25/40/100GbE adapters via PCIe for cloud and hyperscale workloads.
- Power Efficiency
- Optimized for 350W TDP envelope, reducing power costs while ensuring stable peak performance.
- Advanced thermal and power design suitable for 24/7 operation.
- Management & Monitoring
- IPMI 2.0 with Redfish API for remote monitoring and management.
- Complete system health monitoring (CPU, memory, power, fans, thermals).
Applications
- High-Performance Computing (HPC) – Simulations, modeling, and research workloads.
- Artificial Intelligence & Machine Learning – AI training, inference, and big-data analytics.
- Enterprise Cloud & Virtualization – Supports large-scale SaaS, PaaS, and virtualized data centers.
- Large-Scale Storage & Database Systems – High memory and storage bandwidth for database and storage-heavy tasks.