Supermicro SYS-621GU-TNX 6U Single-Socket GPU Server (Non-Redundant)

The Supermicro SYS-621GU-TNX is a 6U single-socket GPU server engineered for compute-intensive enterprise, datacenter, and AI workloads. Built on the X13 platform with support for 4th Gen Intel Xeon Scalable processors (Sapphire Rapids), the system accommodates up to 10 double-width PCIe 5.0 GPUs, delivering massive parallel compute throughput for deep learning training, HPC simulation, and large-scale inference. The non-redundant power configuration is optimized for deployments where power density and capital efficiency take precedence alongside raw GPU capacity.

The SYS-621GU-TNX supports up to 4TB of DDR5 registered ECC memory across 16 DIMM slots, enabling large in-memory dataset operations critical to AI model development and scientific computing. The system's PCIe 5.0 fabric provides the high-bandwidth, low-latency GPU-to-CPU interconnect required for modern accelerated computing frameworks. Onboard networking includes dual 10GbE ports via the Intel X550 controller, supplemented by a dedicated IPMI management port for out-of-band administration through Supermicro's IPMI 2.0 and Redfish-compliant BMC.

Designed for professional datacenter rack integration, the 6U chassis provides optimized airflow across the GPU array through a front-to-rear cooling architecture with redundant hot-swap fans. The platform supports NVMe and SATA storage options, providing flexibility for local dataset staging and operating system requirements. Supermicro's Server Management software ecosystem, including SuperDoctor 5 and IPMI-based monitoring, integrates with standard enterprise DCIM and orchestration toolchains, making the SYS-621GU-TNX a scalable building block for GPU cluster deployments across UAE, GCC, EMEA, and APAC datacenter environments.

Ideal for

• Large-scale deep learning model training utilizing multi-GPU parallelism across frameworks such as PyTorch and TensorFlow
• High-performance computing (HPC) simulations in computational fluid dynamics, molecular dynamics, and finite element analysis
• Enterprise AI inference serving for real-time and batch workloads requiring high GPU throughput and low latency
• Generative AI and large language model (LLM) fine-tuning with substantial GPU memory capacity requirements
• GPU-accelerated data analytics and scientific visualization for research institutions and enterprise data science teams
• Media transcoding and rendering pipelines in broadcast, digital media, and visual effects production environments

Technical specifications

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