Lenovo ThinkSystem SR670 V3 with NVIDIA L40S 48GB PCIe GPU

Lenovo ThinkSystem SR670 V3 with NVIDIA L40S 48GB PCIe GPU

Brand: Lenovo | Category: GPUs

SKU: 4X97A90246 | Part #: 4X97A90246 | MPN: 4X97A90246

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About the Lenovo ThinkSystem SR670 V3 with NVIDIA L40S 48GB PCIe GPU

The Lenovo ThinkSystem SR670 V3 with NVIDIA L40S 48GB PCIe GPU is a 2U rack-mounted server built for organizations deploying GPU-accelerated inference, visualization, and AI workloads at enterprise scale. This configuration pairs Lenovo's robust SR670 V3 platform with the NVIDIA L40S GPU, which features the Ada Lovelace architecture, 48GB of GDDR6 ECC memory, and 18,176 CUDA cores optimized for demanding computational tasks. The NVIDIA L40S delivers 91.6 TFLOPS of FP32 performance, 733 TOPS of TF32 tensor performance with sparsity, and 2,936 TOPS of FP8 tensor performance with sparsity, all supported by 864 GB/s of memory bandwidth over PCIe Gen 4 x16. The 350W GPU thermal design power is efficiently managed within the 2U form factor, making this system ideal for dense deployments in space-constrained data centers.

The underlying Lenovo platform supports dual 4th Gen Intel Xeon Scalable processors (Sapphire Rapids), DDR5 system memory, and Lenovo XClarity Administrator management software for streamlined operations. The SR670 V3 can accommodate up to 8 single-width or 4 double-width GPUs per server, enabling flexible scaling for AI infrastructure teams and enterprises building high-performance computing clusters. Part number 4X97A90246 represents this preconfigured solution, delivering the performance and reliability expected from Lenovo's enterprise-grade ThinkSystem portfolio.

Typical Enterprise Deployment Scenarios

  • GPU-accelerated machine learning inference and model serving at scale
  • Professional visualization and rendering workloads for design and media studios
  • High-performance computing research requiring dense GPU-to-CPU ratios
  • Real-time analytics and data processing pipelines in financial services
  • Large language model inference and generative AI inference operations

For detailed specifications, availability, and procurement options, contact the Omnixon Global team to request a quotation on part number 4X97A90246.

Technical Specifications

BrandLenovo
CategoryGPUs
SKU4X97A90246
Part Number4X97A90246
ConditionNew
Manufacturer Part Number4X97A90246
Product LineThinkSystem SR670 V3
GPU ModelNVIDIA L40S
GPU ArchitectureNVIDIA Ada Lovelace
GPU Memory48GB GDDR6 ECC
GPU Memory Bandwidth864 GB/s
GPU InterfacePCIe Gen 4 x16
GPU TDP350W
CUDA Cores18176
Tensor Cores568 (3rd Generation)
RT Cores142 (3rd Generation)
FP32 Performance91.6 TFLOPS
TF32 Tensor Performance (with sparsity)733 TOPS
FP8 Tensor Performance (with sparsity)2936 TOPS
Server Form Factor2U Rack
Processor SupportDual 4th Gen Intel Xeon Scalable (Sapphire Rapids)
Maximum GPU ConfigurationUp to 8 single-width or 4 double-width GPUs per server
System Memory TypeDDR5
Management SoftwareLenovo XClarity Administrator
Operating System SupportWindows Server, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, VMware vSphere

Frequently Asked Questions about Lenovo ThinkSystem SR670 V3 with NVIDIA L40S 48GB PCIe GPU

What server platforms accept the Lenovo ThinkSystem SR670 V3 with NVIDIA L40S 48GB PCIe GPU?

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.