Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU (Edge)

Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU (Edge)

Brand: Lenovo | Category: GPUs

SKU: 7DAM000FNA | Part #: 7DAM000FNA | MPN: 7DAM000FNA

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About the Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU (Edge)

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.

Typical Edge AI Deployment Scenarios

  • Real-time computer vision inference at retail, logistics, and smart city edge nodes
  • Distributed language model serving for remote offices and branch locations
  • Autonomous system decision-making on vehicles and industrial equipment
  • Telemetry processing and anomaly detection in remote sensor networks
  • Multi-tenant inference serving with isolated workload performance guarantees

Contact Omnixon Global to request a quotation for the Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU (part number 7DAM000FNA).

Technical Specifications

BrandLenovo
CategoryGPUs
SKU7DAM000FNA
Part Number7DAM000FNA
ConditionNew
Manufacturer Part Number7DAM000FNA
Product LineThinkSystem SE360 V2
Form Factor1U Half-Width, Short-Depth Edge Server
GPU ModelNVIDIA L4 24GB PCIe
GPU ArchitectureNVIDIA Ada Lovelace
GPU Memory24GB GDDR6 ECC
GPU TDP72W
GPU InterfacePCIe 4.0
GPU Slot ProfileSingle-slot, low-profile
INT8 Inference Performance242 TOPS
CUDA Cores7680
Tensor Cores240 (4th Generation)
Supported CPUIntel Xeon D-2700 or D-1700 series processor
Max System MemoryUp to 256GB DDR4 ECC RDIMM
Storage OptionsUp to 4x 2.5-inch SAS/SATA/NVMe drives
NetworkingIntegrated dual 25GbE and dual 1GbE on-board ports
Operating Temperature Range0°C to 55°C (extended range for edge deployment)
ManagementLenovo XClarity Controller (XCC2), Lenovo XClarity Administrator compatible
Software Stack SupportNVIDIA TensorRT, CUDA, NVIDIA AI Enterprise
Target DeploymentEdge, micro-datacenter, industrial, ruggedized environments

Frequently Asked Questions about Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU (Edge)

What server platforms accept the Lenovo ThinkSystem SE360 V2 with NVIDIA L4 24GB PCIe GPU (Edge)?

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.

How long is the lead time on AI GPUs?

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.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

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.

Can you help with NVIDIA AI Enterprise licensing?

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.