Supermicro SYS-2029GP-TR 2U 8-GPU X11 Server (Mid-Tier Legacy Active)

The Supermicro SYS-2029GP-TR is a 2U rackmount server engineered for high-density GPU compute, built on the X11 platform and capable of housing up to eight double-width GPU accelerators in a single chassis. The system is based on the Supermicro X11DGQ motherboard, supporting dual Intel Xeon Scalable processors (Skylake/Cascade Lake generation) connected via the Intel C621 chipset, with up to 3 TB of DDR4 ECC registered memory across 24 DIMM slots. Eight PCIe 3.0 x16 slots deliver full-bandwidth connectivity to each GPU, making this platform suitable for workloads that demand parallel throughput at scale.

Designed for AI training, deep learning inference, and high-performance computing environments, the SYS-2029GP-TR integrates a robust power subsystem with redundant 2200W Titanium-level power supplies to sustain the sustained thermal and electrical demands of a fully populated GPU configuration. The chassis incorporates high-airflow hot-swap fan modules and a backplane supporting NVMe and SATA storage devices, allowing operators to pair fast local storage with intensive GPU workloads without compromising thermal performance. The system supports Supermicro's IPMI 2.0 out-of-band management interface with dedicated management LAN for remote monitoring and administration.

As a mid-tier legacy active platform, the SYS-2029GP-TR occupies an established position in enterprise GPU server deployments where X11-generation compatibility, validated driver ecosystems, and long-term platform stability are operational priorities. The system supports NVIDIA Tesla, Quadro RTX, and compatible AMD Radeon Instinct GPU accelerators subject to Supermicro's compatibility validation, and is suited to organizations operating mixed-generation infrastructure in datacenter, HPC, and AI research environments across EMEA and APAC regions.

Ideal for

• Large-scale deep learning model training using multi-GPU parallelism across eight full-bandwidth PCIe 3.0 x16 slots
• High-throughput AI inference serving for computer vision, NLP, and recommendation engine workloads in production datacenters
• Scientific HPC simulation and computational fluid dynamics requiring dense floating-point GPU resources in a 2U footprint
• Rendering farm nodes for visual effects and 3D animation pipelines demanding multi-GPU parallel rendering capacity
• GPU-accelerated data analytics and in-memory database acceleration for enterprise business intelligence workloads
• AI research and academic laboratory environments requiring a validated, stable X11-generation multi-GPU platform

Technical specifications

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