Brand: Lenovo | Category: GPUs
SKU: 7DAM000FNA | Part #: 7DAM000FNA | MPN: 7DAM000FNA
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AI inference at the edge demands GPU architecture built for real-time inference workloads, and the Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU delivers exactly that. This 1U half-width, short-depth edge server pairs an NVIDIA Ada Lovelace architecture GPU with 7680 CUDA cores and 240 fourth-generation Tensor cores, capable of 242 TOPS INT8 inference performance—making it ideal for organizations deploying distributed AI models across remote locations. The NVIDIA L4 GPU features 24GB GDDR6 ECC memory and draws just 72W power, fitting seamlessly into space-constrained environments without excessive thermal overhead. Supported by Intel Xeon D-2700 or D-1700 series processors, the SE360 V2 scales to 256GB of DDR4 ECC RDIMM system memory, enabling complex multi-model inference pipelines.
For IT infrastructure teams and AI operations engineers evaluating compact GPU platforms, this Lenovo system (part number 7DAM000FNA) provides dual 25GbE and dual 1GbE on-board networking, single-slot low-profile GPU placement, and flexible storage via up to four 2.5-inch SAS/SATA/NVMe drives. The extended operating temperature range of 0°C to 55°C qualifies it for edge and field deployments where climate control is limited. Management is handled through Lenovo XClarity Controller (XCC2) and XClarity Administrator compatibility, while software stacks including NVIDIA TensorRT, CUDA, and NVIDIA AI Enterprise are fully supported on this architecture.
Contact Omnixon Global to request a quotation for the Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU (part number 7DAM000FNA).
| Brand | Lenovo |
| Category | GPUs |
| SKU | 7DAM000FNA |
| Part Number | 7DAM000FNA |
| Condition | New |
| Manufacturer Part Number | 7DAM000FNA |
| Product Line | ThinkSystem SE360 V2 |
| Form Factor | 1U Half-Width, Short-Depth Edge Server |
| GPU Model | NVIDIA L4 24GB PCIe |
| GPU Architecture | NVIDIA Ada Lovelace |
| GPU Memory | 24GB GDDR6 ECC |
| GPU TDP | 72W |
| GPU Interface | PCIe 4.0 |
| GPU Slot Profile | Single-slot, low-profile |
| INT8 Inference Performance | 242 TOPS |
| CUDA Cores | 7680 |
| Tensor Cores | 240 (4th Generation) |
| Supported CPU | Intel Xeon D-2700 or D-1700 series processor |
| Max System Memory | Up to 256GB DDR4 ECC RDIMM |
| Storage Options | Up to 4x 2.5-inch SAS/SATA/NVMe drives |
| Networking | Integrated dual 25GbE and dual 1GbE on-board ports |
| Operating Temperature Range | 0°C to 55°C (extended range for edge deployment) |
| Management | Lenovo XClarity Controller (XCC2), Lenovo XClarity Administrator compatible |
| Software Stack Support | NVIDIA TensorRT, CUDA, NVIDIA AI Enterprise |
| Target Deployment | Edge, micro-datacenter, industrial, ruggedized environments |
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.