Supermicro SuperBlade SBI-411E-5G (8-GPU Blade Node)

The Supermicro SuperBlade SBI-411E-5G is a single-socket GPU-accelerated blade node designed for deployment within Supermicro's SuperBlade modular enclosure architecture. This dense compute module integrates support for up to 8 GPUs in a compact form factor, enabling organizations to achieve high-density AI training, inference, and HPC workloads within a shared infrastructure footprint.

The blade leverages the latest NVIDIA GPU acceleration with unified memory and high-bandwidth interconnect capabilities. The SBI-411E-5G supports multiple GPU topologies and PCIe configurations to optimize data flow for parallel processing workloads, making it suitable for machine learning clusters, scientific simulation, and real-time inference at scale.

Deployed within a SuperBlade chassis, multiple SBI-411E-5G nodes share common power, cooling, and management infrastructure, reducing operational complexity while maximizing compute density per rack unit. This architecture is particularly suited to organizations requiring modular, upgrade-friendly GPU compute without traditional server form-factor constraints.

Ideal for

• Large-scale deep learning model training and fine-tuning across distributed GPU clusters
• High-throughput AI inference serving with multi-tenant workload isolation
• Computational fluid dynamics (CFD) and molecular dynamics simulations
• Real-time video analytics and computer vision pipeline acceleration
• Financial modeling and quantitative risk analysis requiring parallel GPU compute
• Genomic sequencing and bioinformatics data processing acceleration

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.