Supermicro 10U SuperServer SYS-1029GQ-TNRT GPU Server

The Supermicro SYS-1029GQ-TNRT is a 1U GPU-optimized SuperServer built on the Intel Xeon Scalable processor platform, engineered to deliver exceptional parallel compute throughput for the most demanding enterprise AI, deep learning, and high-performance computing environments. The system supports dual Intel Xeon Scalable processors (Skylake/Cascade Lake) and accommodates up to four double-width NVIDIA Tesla/Quadro GPU accelerators in a compact 1U chassis, making it one of the most GPU-dense rack solutions available at its form factor. Its architecture pairs high-bandwidth GPU interconnects with a robust memory subsystem supporting up to 3TB of DDR4 ECC registered memory across 24 DIMM slots, ensuring that memory-intensive inference and training workloads are never bottlenecked at the host level.

Designed for sustained operation in production datacenter environments, the SYS-1029GQ-TNRT incorporates a purpose-engineered thermal and power architecture capable of supporting the full TDP envelopes of installed GPU accelerators. The server includes redundant 2000W platinum-level power supplies and a high-airflow fan configuration optimized for GPU thermal management across the full chassis depth. Storage flexibility is addressed through multiple NVMe and SATA drive bays, while dual 10GbE network ports via Intel X722 controllers and additional OCP 3.0 mezzanine support ensure sufficient I/O bandwidth for data ingestion pipelines and cluster interconnect in distributed training scenarios.

The SYS-1029GQ-TNRT is a proven platform for organizations deploying GPU-accelerated infrastructure across AI research, scientific simulation, rendering, and inference serving at scale. Its compatibility with standard IPMI 2.0 and Supermicro's IPMI-based out-of-band management, combined with support for UEFI and legacy BIOS, enables straightforward integration into existing enterprise datacenter management frameworks. The system ships as a complete, pre-integrated server solution, reducing deployment complexity for IT teams building or expanding GPU compute clusters across UAE, GCC, EMEA, and APAC datacenter facilities.

Ideal for

• Deep learning model training using frameworks such as TensorFlow and PyTorch, leveraging four high-performance GPU accelerators for multi-GPU parallel training workflows
• Large-scale AI inference serving in enterprise production environments requiring low-latency GPU-accelerated response at high request throughput
• High-performance computing (HPC) simulations in oil and gas, financial risk modeling, and computational fluid dynamics that benefit from dense GPU parallelism in a compact 1U footprint
• Medical imaging and genomics workloads requiring GPU-accelerated data processing pipelines and real-time image reconstruction at clinical scale
• Professional visualization and remote GPU rendering deployments in media, entertainment, and engineering design environments demanding sustained GPU compute output
• AI research and university datacenter buildouts requiring a standardized, enterprise-grade GPU node with broad software ecosystem compatibility and out-of-band management support

Technical specifications

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