Supermicro SuperBlade SBI-420E-1T3N GPU Blade

The Supermicro SuperBlade SBI-420E-1T3N is a high-density GPU blade server engineered for the SuperBlade enclosure ecosystem, delivering accelerated compute performance within a shared-infrastructure chassis architecture. Built on the Intel Xeon Scalable (4th Gen Sapphire Rapids) platform, this blade integrates host CPU processing with dedicated GPU acceleration in a compact, hot-plug blade form factor, enabling datacenters to scale AI, HPC, and visualization workloads without sacrificing density or manageability.

The SBI-420E-1T3N is designed to accommodate NVIDIA GPU accelerators in a dual-slot blade configuration, sharing power, cooling, and networking resources supplied by the SuperBlade enclosure—eliminating redundant per-node infrastructure and reducing overall datacenter footprint. The blade supports DDR5 memory and high-speed PCIe Gen 5 interconnects, ensuring that GPU-to-CPU data transfers are not a throughput bottleneck for demanding inferencing and training pipelines.

Targeted at enterprise IT organizations, cloud service providers, and AI-focused datacenters across the UAE, GCC, EMEA, and APAC regions, the SBI-420E-1T3N fits into Supermicro's broader SuperBlade chassis (such as the SBE-820H series), enabling mixed-workload blade deployments that combine GPU-accelerated nodes with standard compute and storage blades within a single enclosure. This approach supports consolidated management, reduced cabling complexity, and efficient shared power delivery at scale.

Ideal for

• Large-scale AI model training and deep learning inference using GPU-accelerated frameworks such as TensorFlow, PyTorch, and CUDA-based pipelines
• High-performance computing (HPC) workloads including scientific simulation, computational fluid dynamics, and molecular modeling requiring dense parallel compute
• Enterprise GPU-accelerated virtual desktop infrastructure (VDI) and remote visualization for engineering, media production, and design workloads
• Real-time data analytics and GPU-accelerated database query processing for financial services and telecommunications sectors
• Edge-to-datacenter AI inferencing deployments requiring high blade density, shared chassis infrastructure, and centralized management across EMEA and APAC sites
• Cloud service provider GPU-as-a-Service offerings where per-unit rack density, power efficiency, and blade hot-swap capability are critical operational requirements

Technical specifications

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