Supermicro SuperServer SYS-411GE-TNRH

The Supermicro SuperServer SYS-411GE-TNRH is a 4U GPU-optimized server engineered for the most demanding enterprise AI training, deep learning inference, and high-performance computing workloads. Built on the Intel Xeon Scalable processor platform, it supports dual processors and is architected to accommodate up to 10 double-width GPU accelerators, delivering the raw parallel compute density required for large-scale model training and scientific simulation. The chassis integrates Supermicro's high-efficiency cooling architecture and redundant power infrastructure to sustain continuous operation in production datacenter environments.

The SYS-411GE-TNRH is designed around a purpose-built 4U chassis that provides the necessary PCIe Gen 5 bandwidth and physical expansion headroom to fully utilize modern GPU accelerators at maximum thermal design power. The system supports high-capacity DDR5 registered memory across multiple channels per processor, enabling large in-memory datasets and reducing bottlenecks in data-parallel workloads. Integrated 10GbE networking provides baseline management and data-plane connectivity, while the platform's PCIe topology supports the addition of high-bandwidth interconnect fabric cards such as InfiniBand or high-speed Ethernet adapters for GPU-to-GPU cluster communication.

Targeted at enterprise datacenters, cloud service operators, national research institutions, and AI infrastructure teams across the UAE, GCC, EMEA, and APAC regions, the SYS-411GE-TNRH represents Supermicro's commitment to disaggregated, scalable GPU compute building blocks. The system ships with IPMI-based out-of-band management via a dedicated BMC, enabling remote monitoring, power control, and firmware lifecycle management without requiring physical datacenter access. Its compatibility with Supermicro's SuperBlade and datacenter management software ecosystems makes it a composable element within broader enterprise GPU cluster deployments.

Ideal for

• Large-scale generative AI and large language model (LLM) training requiring sustained multi-GPU parallel compute across extended training runs
• Deep learning inference serving for computer vision, natural language processing, and recommendation system pipelines in production enterprise environments
• High-performance computing (HPC) simulation workloads in oil and gas, financial risk modeling, and computational fluid dynamics
• GPU-accelerated data analytics and feature engineering for enterprise machine learning platforms processing petabyte-scale datasets
• Rendering farm and visual effects pipeline acceleration for media, broadcast, and digital content production studios
• Sovereign AI infrastructure deployments for government agencies and research institutions requiring on-premises GPU compute at datacenter scale

Technical specifications

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