NVIDIA L40S 48GB GDDR6 PCIe 4.0 – Dell PowerEdge R760xa

The NVIDIA L40S 48GB GDDR6 PCIe 4.0, configured for the Dell PowerEdge R760xa, is a full-stack data center GPU built on the NVIDIA Ada Lovelace architecture. Delivering 91.6 TFLOPS of FP32 performance and up to 1,457 TOPS of INT8 compute, it integrates 3rd-generation RT Cores, 4th-generation Tensor Cores, and NVIDIA's NVENC/NVDEC media engines within a dual-slot, passive-cooled PCIe 4.0 x16 form factor purpose-built for rack-dense enterprise deployments. The 48GB GDDR6 frame buffer operates at 864 GB/s of memory bandwidth across a 384-bit memory interface, enabling large-model inference, multi-stream video processing, and complex simulation workloads without memory bottlenecks.

Designed as a universal data center GPU, the L40S bridges high-performance AI inference, 3D rendering, and professional visualization within a single hardware platform. Its support for NVIDIA Multi-Instance GPU (MIG) partitioning allows the physical device to be subdivided into isolated GPU instances, enabling efficient multi-tenant workload consolidation across virtual desktop infrastructure and cloud-native AI services. PCIe 4.0 host connectivity ensures broad server compatibility and high-bandwidth communication with modern CPU platforms, while the passive thermal design integrates cleanly into the forced-air cooling environment of the Dell PowerEdge R760xa chassis.

As a Dell-qualified component for the PowerEdge R760xa, the L40S has been validated within Dell's server ecosystem, supporting deployment in enterprise data centers, AI inference clusters, rendering farms, and edge computing nodes where workload density, reliability, and computational breadth are critical operational requirements. The platform is available through Omnixon Global for buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large-scale generative AI and LLM inference serving, leveraging 4th-generation Tensor Cores and high-capacity 48GB GDDR6 frame buffer to handle large model parameter sets without offloading
• Enterprise virtual desktop infrastructure (VDI) and cloud graphics delivery using MIG partitioning to allocate isolated GPU resources across concurrent professional users
• Real-time 3D rendering and visualization for product design, digital twins, and simulation pipelines requiring Ada Lovelace RT Core ray-tracing acceleration
• Multi-stream video transcoding and media processing for broadcast, streaming, and surveillance analytics leveraging dedicated NVENC and NVDEC hardware engines
• AI-assisted medical imaging, drug discovery, and genomics workloads demanding FP32 and FP16 mixed-precision compute with large on-device memory capacity
• High-density data center compute consolidation where a single GPU platform must serve diverse workloads—AI inference, visualization, and media—within constrained rack space

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.