Brand: Supermicro | Category: GPUs
SKU: SYS-740GP-TNRT | Part #: SYS-740GP-TNRT | MPN: SYS-740GP-TNRT
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Designed for AI training and inference workloads, the Supermicro SuperServer SYS-740GP-TNRT harnesses the parallel compute density of 4 x NVIDIA A30 24GB PCIe GPUs to deliver exceptional throughput for deep learning, machine vision, and mixed-precision analytics. Each A30 GPU delivers 165 TOPS of INT8 tensor performance and supports up to 4 MIG instances per card, enabling fine-grained workload partitioning and multi-tenant inference at scale. This 4U rackmount system pairs GPU acceleration with dual 3rd Gen Intel Xeon Scalable processors (Ice Lake-SP, Socket P+), up to 4TB of DDR4 ECC registered memory across 32 DIMM slots, and PCIe 4.0 x16 interconnects to maximize data throughput between compute and storage.
Enterprise AI infrastructure teams and machine learning operations engineers select this Supermicro platform for its combination of memory bandwidth, fault tolerance, and production-grade manageability. The system includes dual redundant 2200W 80 PLUS Titanium power supplies in a 2+1 hot-swap configuration, 12 x 3.5-inch hot-swap drive bays for flexible storage layouts, and comprehensive network connectivity via 2 x 10GbE and 2 x 25GbE interfaces. IPMI 2.0 with dedicated management port and Supermicro BMC ensure out-of-band control and monitoring in virtualized environments running Linux, VMware vSphere, or Windows Server, while 7 x PCIe 4.0 expansion slots accommodate additional accelerators or I/O adapters. Maximum CPU TDP of 270W per processor supports sustained high-performance inference and training pipelines.
To evaluate the SYS-740GP-TNRT for your datacenter or AI cluster deployment, contact Omnixon Global for a detailed Request for Quotation tailored to your capacity and timeline requirements.
| Brand | Supermicro |
| Category | GPUs |
| SKU | SYS-740GP-TNRT |
| Part Number | SYS-740GP-TNRT |
| Condition | New |
| Form Factor | 4U Rackmount |
| Processor Support | Dual 3rd Gen Intel Xeon Scalable (Ice Lake-SP), Socket P+ (LGA-4189) |
| Max CPU TDP | 270W per processor |
| Memory Slots | 32 x DDR4 DIMM slots |
| Max Memory Capacity | 4TB DDR4 ECC Registered |
| GPU Configuration | 4 x NVIDIA A30 24GB PCIe GPU |
| GPU Memory per Card | 24GB HBM2 |
| GPU Tensor Performance (INT8) | 165 TOPS per GPU |
| GPU Interconnect | PCIe 4.0 x16 |
| MIG Support | Yes — up to 4 MIG instances per A30 GPU |
| Network Interfaces | 2 x 10GbE (RJ45) + 2 x 25GbE (SFP28) via Intel and/or Mellanox controllers |
| Management | IPMI 2.0 with dedicated management port; Supermicro IPMI / BMC |
| Storage Bays | 12 x 3.5-inch hot-swap drive bays (SATA/SAS/NVMe configuration dependent on backplane) |
| Power Supply | Dual redundant 2200W 80 PLUS Titanium |
| Power Supply Configuration | 2+1 redundant hot-swap |
| Expansion Slots | 7 x PCIe 4.0 slots |
| Operating System Support | Linux (RHEL, Ubuntu, SUSE); VMware vSphere; Windows Server |
| Chassis Dimensions | 4U; 17.2" (W) x 7" (H) x 28.5" (D) approx. |
| Operating Temperature | 10°C to 35°C |
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.