Supermicro GPU Server SYS-420GH-TNGR (4x GPU 4U HGX H100)

The Supermicro SYS-420GH-TNGR is a 4U HGX H100 GPU server engineered for the most demanding AI training, large-scale inference, and high-performance computing workloads in enterprise and hyperscale datacenter environments. Built on the NVIDIA HGX H100 platform, the system integrates four NVIDIA H100 SXM5 80GB GPUs interconnected via NVLink and NVSwitch fabric, delivering up to 3,958 TFLOPS of FP8 sparse tensor performance. The platform supports dual 4th Generation Intel Xeon Scalable processors and is designed to sustain peak GPU utilization continuously through Supermicro's advanced thermal and power delivery architecture.

The SYS-420GH-TNGR provides high-bandwidth connectivity through PCIe 5.0 and supports NVIDIA Quantum-2 InfiniBand or high-speed Ethernet fabric integration, enabling tightly coupled multi-node GPU clusters for distributed training at scale. The system chassis accommodates high-capacity DDR5 memory across 32 DIMM slots, delivering the memory bandwidth necessary to feed four HGX H100 GPUs without bottlenecks. Redundant platinum-level power supplies and tool-less hot-swap drive bays reflect Supermicro's Building Block Solutions philosophy for maximum operational uptime.

Targeted at enterprises deploying generative AI, large language model (LLM) training, scientific simulation, and real-time analytics pipelines, the SYS-420GH-TNGR represents a production-grade, rack-optimized solution. Its 4U form factor balances GPU density with the thermal headroom required for sustained compute-intensive operations, making it suitable for both greenfield AI datacenter builds and integration into existing Supermicro or open-rack-compatible infrastructure across UAE, GCC, EMEA, and APAC deployments.

Ideal for

• Large language model (LLM) pre-training and fine-tuning using distributed multi-GPU tensor and pipeline parallelism
• Generative AI inference serving for real-time enterprise applications including copilots, code generation, and multimodal models
• High-performance scientific simulation and computational fluid dynamics requiring sustained FP64 double-precision throughput
• Computer vision and medical imaging AI pipelines processing high-resolution datasets at datacenter scale
• Financial services risk modeling and quantitative analytics leveraging GPU-accelerated Monte Carlo and deep learning frameworks
• Sovereign AI and national research infrastructure deployments requiring on-premises, high-density GPU compute

Technical specifications

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