Brand: Supermicro | Category: GPUs
SKU: SYS-241GE-TNRT | Part #: SYS-241GE-TNRT | MPN: SYS-241GE-TNRT
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The Supermicro SuperServer SYS-241GE-TNRT delivers 121 TOPS of INT8 tensor performance per GPU across its four NVIDIA L4 24GB accelerators, making it a purpose-built platform for AI inference, video analytics, and virtualized workloads at scale. This 2U rackmount system pairs the GPU tier with dual-socket AMD EPYC 9004 Series (Genoa) processors on the SP5 platform, supported by 24 DDR5 ECC RDIMM slots (12 per CPU) and redundant Platinum-level power supplies for mission-critical enterprise deployments. Each NVIDIA Ada Lovelace GPU operates at 72W TDP over PCIe Gen4 x16 interfaces with 24GB of GDDR6 ECC memory per card, ensuring reliable inference and analytics acceleration for distributed AI infrastructure teams.
The SYS-241GE-TNRT (part number SYS-241GE-TNRT) integrates Supermicro BMC management via IPMI 2.0 with an ASPEED AST2600 controller, dual 10GbE Broadcom network connectivity, and flexible storage via NVMe and SATA internal drive bays. Full support for NVIDIA AI Enterprise, TensorRT, CUDA, and vGPU software stacks, combined with Linux (Ubuntu, RHEL, SLES) and Windows Server operating system compatibility, enables rapid deployment across heterogeneous data center environments. For IT procurement teams and infrastructure architects evaluating high-throughput inference platforms, this Supermicro system balances compact 2U form factor density with enterprise-grade redundancy and performance.
Contact Omnixon Global to request a quotation for the SYS-241GE-TNRT and explore volume licensing options for your AI infrastructure expansion.
| Brand | Supermicro |
| Category | GPUs |
| SKU | SYS-241GE-TNRT |
| Part Number | SYS-241GE-TNRT |
| Condition | New |
| Manufacturer Part Number | SYS-241GE-TNRT |
| Form Factor | 2U Rackmount |
| GPU Configuration | 4x NVIDIA L4 24GB PCIe Gen4 |
| GPU Architecture | NVIDIA Ada Lovelace |
| GPU Memory per Card | 24GB GDDR6 ECC |
| GPU TDP per Card | 72W |
| GPU Host Interface | PCIe Gen4 x16 |
| INT8 Tensor Performance (per GPU) | 121 TOPS |
| Processor Platform | AMD EPYC 9004 Series (Genoa), Dual Socket SP5 |
| Memory Type | DDR5 ECC RDIMM |
| Memory Slots | 24x DIMM slots (12 per CPU) |
| Storage Interface | NVMe/SATA via internal drive bays |
| Network | Dual 10GbE onboard (Broadcom) |
| Power Supply | Redundant Platinum-level PSU |
| Operating System Support | Linux (Ubuntu, RHEL, SLES), Windows Server |
| NVIDIA Software Compatibility | NVIDIA AI Enterprise, TensorRT, CUDA, vGPU |
| Rack Units | 2U |
| IPMI / Management | IPMI 2.0, Supermicro BMC (ASPEED AST2600) |
| Target Workloads | AI Inference, Video Analytics, VDI, HPC |
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.