The GIGABYTE MS03-6L0 is a high-performance ATX server motherboard engineered for Intel Xeon Max-Series processors, delivering unmatched compute density, memory bandwidth, and efficiency for next-generation workloads. Built to handle demanding HPC (High-Performance Computing), AI/ML, data analytics, and enterprise applications, the MS03-6L0 provides a powerful yet power-optimized solution within a 350W power envelope.
Key Features
- Processor Support
- Compatible with Intel Xeon Max-Series Processors, designed for extreme performance and scalability.
- Integrated HPC-optimized architecture ensures peak throughput in compute-heavy workloads.
- Form Factor
- ATX (305 x 244mm) standard design for seamless integration into enterprise-class chassis.
- Ideal for rackmount and tower server configurations.
- Memory
- Supports DDR5 RDIMM/LRDIMM & HBM (High Bandwidth Memory, depending on CPU SKU).
- Up to 8 DIMM slots for DDR5, providing massive memory capacity for large datasets.
- ECC support for enterprise reliability and mission-critical stability.
- Expansion Capability
- Multiple PCIe Gen5 slots for GPUs, accelerators, NICs, and storage controllers.
- Scalable expansion to support AI training, simulation, and compute acceleration.
- Storage Options
- Multiple SATA 6Gb/s ports for traditional HDD/SSD storage.
- 2 NVMe Gen4/5 slots for ultra-high-speed storage performance.
- RAID support for redundancy and enterprise data protection.
- Networking
- Integrated 1GbE/10GbE LAN, depending on configuration.
- PCIe expansion available for 25/40/100GbE network adapters, ensuring future-proof connectivity.
- Power Efficiency
- Operates within a 350W TDP envelope, balancing performance with efficient energy consumption.
- Optimized thermal and power design for 24/7 operation in HPC and enterprise deployments.
- Remote Management
- IPMI 2.0 with Redfish API support for full remote server monitoring and control.
- System health monitoring (CPU, memory, power, fans, thermals).
Applications
- High-Performance Computing (HPC) – Designed for scientific research, simulations, and modeling.
- Artificial Intelligence & Machine Learning – Ideal for AI training, inference, and big-data analytics.
- Enterprise Cloud & Virtualization – Robust platform for cloud-native, SaaS, and virtualized workloads.
- Large-Scale Storage & Databases – Supports data-intensive workloads with high-speed storage interfaces.