NVIDIA L40S 48GB GDDR6 PCIe Gen 4.0 x16 Dual Slot Ada Lovelace GPU | TCSL40SPCIE-PB

Brand: NVIDIA | Category: GPUs

SKU: TCSL40SPCIE-PB | Part #: TCSL40SPCIE-PB | MPN: TCSL40SPCIE-PB

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Product Overview

The NVIDIA L40S 48GB is a flagship data centre GPU engineered on NVIDIA's Ada Lovelace architecture, representing the next generation of universal GPU for modern enterprise workloads. Designed as a PCIe Gen 4.0 x16 dual-slot card, the L40S combines the computational density required for large-scale AI model training and inference with the graphics fidelity demanded by professional visualisation and virtual workstation deployments. With 48GB of high-bandwidth GDDR6 memory protected by ECC, the L40S is purpose-built for mission-critical environments where data integrity and sustained throughput are non-negotiable. As enterprises across the GCC accelerate their AI transformation journeys, the NVIDIA L40S represents a strategically critical infrastructure investment — enabling organisations to run LLMs, generative AI pipelines, scientific simulations, and GPU-accelerated databases from a single, dense, universally deployable platform.

Unlike GPU solutions requiring NVLink or proprietary interconnects, the L40S leverages the universally available PCIe Gen 4.0 interface, making it compatible with virtually every modern enterprise server platform without requiring custom fabric infrastructure. This dramatically simplifies deployment in existing data centre environments across the UAE, Saudi Arabia, and the broader GCC region.

Key Features & Benefits

• Ada Lovelace Architecture with 18,176 CUDA Cores: The L40S is built on NVIDIA's fourth-generation Ada Lovelace GPU architecture, delivering up to 91.6 TFLOPS of FP32 compute performance — a significant leap over previous-generation Ampere-based A40 GPUs. This raw compute density enables faster AI training epochs, reduced inference latency, and higher throughput for HPC workloads.
• 48GB ECC GDDR6 Memory at 864 GB/s Bandwidth: The L40S equips 48GB of GDDR6 memory on a 384-bit memory bus, delivering 864 GB/s of memory bandwidth. ECC (Error-Correcting Code) protection ensures data integrity for enterprise-grade AI, scientific computing, and financial modelling workloads where bit-level accuracy is mandatory.
• Third-Generation RT Cores for Real-Time Ray Tracing: Featuring 142 third-generation RT Cores, the L40S delivers up to 191.9 TRTOPS (Tera Ray Tracing Operations Per Second), enabling photorealistic rendering and real-time visualisation at scale — critical for digital twin deployments, architectural visualisation, and media & entertainment production pipelines.
• Fourth-Generation Tensor Cores — 733 TFLOPS AI Performance: With 568 fourth-generation Tensor Cores, the L40S achieves up to 733 TFLOPS in FP8 precision, making it exceptionally capable for inferencing large language models (LLMs), diffusion models, and transformer-based neural networks at production scale without requiring specialised AI-only accelerators.
• PCIe Gen 4.0 x16 — Universal Server Compatibility: The standard PCIe Gen 4.0 x16 dual-slot form factor ensures plug-and-play compatibility with virtually all modern enterprise server platforms from Dell, HPE, Lenovo, Supermicro, and others — without proprietary interconnect fabrics, reducing total cost of deployment and simplifying data centre operations.
• 300W TDP with Active Cooling — Optimised for Rack Density: Operating at a 300W TDP with an integrated active cooling blower, the L40S is engineered for high-density rack deployments in standard enterprise data centres. It does not require liquid cooling infrastructure, making it immediately deployable in conventional colocation and on-premise environments across the GCC.
• Multi-Instance GPU (MIG) and vGPU Support: The L40S supports NVIDIA MIG partitioning, allowing a single physical GPU to be securely partitioned into multiple isolated GPU instances. Combined with NVIDIA vGPU software support, this enables scalable virtualised GPU delivery for VDI, cloud gaming, and multi-tenant AI inference platforms.
• DisplayPort 1.4 Outputs and AV1 Hardware Encode/Decode: Featuring four DisplayPort 1.4 outputs and hardware AV1 encode/decode engines, the L40S supports up to 8K display outputs and accelerated media transcoding — a critical capability for broadcast, media production, and large-scale video surveillance analytics platforms.

Technical Architecture

The NVIDIA L40S is fabricated on TSMC's 4N process node optimised for NVIDIA, integrating 76.3 billion transistors within the Ada Lovelace GPU die. The core architecture is built around Streaming Multiprocessors (SMs), each containing fourth-generation Tensor Cores, third-generation RT Cores, and standard CUDA cores operating in concert to deliver heterogeneous compute across FP64, FP32, FP16, BF16, TF32, INT8, and FP8 precision formats.

The memory subsystem consists of 48GB of GDDR6 SDRAM organised across a 384-bit memory interface, providing 864 GB/s of memory bandwidth. The memory is protected by SECDED ECC (Single-Error Correction, Double-Error Detection) at the hardware level, ensuring reliability for continuous 24/7 enterprise workload operation. The L40S does not use HBM (High Bandwidth Memory) — the deliberate use of GDDR6 maintains cost efficiency while delivering bandwidth sufficient for the vast majority of enterprise AI, HPC, and visualisation workloads.

The PCIe Gen 4.0 x16 host interface delivers up to 64 GB/s of bidirectional bandwidth between the GPU and the host CPU, supporting NVMe-style peer-to-peer GPU Direct communication between multiple L40S cards in multi-GPU server configurations. The card occupies a dual-slot, full-height, full-length (FHFL) form factor and is powered via a single 16-pin PCIe Gen 5 power connector (with adapter support for dual 8-pin configurations), ensuring compatibility with contemporary server power delivery systems.

Performance & Capacity

The NVIDIA L40S delivers industry-leading performance across multiple precision workloads, validated through NVIDIA's internal benchmarking and third-party enterprise evaluations:

• FP32 (Single Precision) Compute: 91.6 TFLOPS
• TF32 Tensor Core Performance: 183 TFLOPS (with sparsity: 366 TFLOPS)
• FP16 / BF16 Tensor Core Performance: 362.05 TFLOPS (with sparsity: 724.1 TFLOPS)
• FP8 Tensor Core Performance: 733 TFLOPS (with sparsity: 1,457 TFLOPS)
• INT8 Tensor Core Performance: 733 TOPS (with sparsity: 1,457 TOPS)
• RT Core Performance: 191.9 TRTOPS
• Memory Bandwidth: 864 GB/s
• Memory Capacity: 48GB GDDR6 ECC
• Memory Bus Width: 384-bit
• PCIe Bandwidth: 64 GB/s bidirectional (PCIe Gen 4.0 x16)

In practical AI inference benchmarks using ResNet-50 and BERT-Large models, the L40S demonstrates latency reductions of up to 40% compared to the A40, while delivering over 2x improvement in FP8 inference throughput — making it a transformational upgrade for production AI serving infrastructure.

Compatibility & Integration

The NVIDIA L40S is designed for maximum compatibility across enterprise server ecosystems. It is certified and validated for deployment in leading server platforms including Dell PowerEdge R750xa, R760xa, HPE ProLiant DL380 Gen10/Gen11, Lenovo ThinkSystem SR670 V2, Supermicro SYS-420GP series, and Inspur NF5488M6 among others. The PCIe Gen 4.0 x16 interface is backward compatible with PCIe Gen 3.0 slots (at reduced bandwidth), ensuring flexibility across both new and existing infrastructure investments.

Operating system support encompasses VMware vSphere 7.x/8.x with NVIDIA vGPU, Red Hat Enterprise Linux 8/9, Ubuntu Server 20.04/22.04 LTS, Windows Server 2019/2022, and container environments via NVIDIA Container Toolkit for Kubernetes-based AI platforms. The L40S is fully supported under NVIDIA AI Enterprise software stack, enabling enterprise-grade MLOps, model deployment, and GPU monitoring through NVIDIA DCGM (Data Centre GPU Manager).

Certifications include CE, FCC, RoHS 2 compliance, and NVIDIA FIPS 140-3 validated cryptographic operations for government and regulated industry deployments. The card supports NVIDIA GPUDirect RDMA for low-latency GPU-to-GPU and GPU-to-NIC communication across InfiniBand and RoCE networks.

Ideal Use Cases

• Generative AI & LLM Inference: Deploy large language models such as LLaMA, Falcon, and GPT variants at production scale. The L40S's 48GB frame buffer accommodates full model weights for 13B–70B parameter models, enabling low-latency, high-throughput inference without model sharding across multiple GPUs.
• AI Model Training (Computer Vision, NLP, Multimodal): Accelerate training of convolutional neural networks, vision transformers, and multimodal AI models using the fourth-generation Tensor Cores. The high-bandwidth GDDR6 memory ensures minimal data starvation during large-batch training runs.
• GPU-Accelerated HPC & Scientific Simulations: Run molecular dynamics, computational fluid dynamics (CFD), finite element analysis (FEA), and climate modelling workloads using CUDA-accelerated scientific libraries including cuBLAS, cuFFT, and RAPIDS.
• Professional Visualisation & Digital Twins: Support real-time 3D rendering, digital twin simulations, and BIM (Building Information Modelling) workflows for engineering, architecture, and oil & gas industries prevalent across the GCC. The Ada Lovelace RT Cores deliver photorealistic rendering without offline render farms.
• GPU-Accelerated Virtual Desktop Infrastructure (VDI): Using NVIDIA vGPU and MIG, a single L40S can serve multiple concurrent virtual workstation users with professional-grade GPU resources — enabling organisations to centralise GPU-intensive workflows for design, simulation, and media production teams.
• Video Analytics & AI-Powered Surveillance: Process multiple simultaneous high-resolution RTSP video streams for real-time object detection, facial recognition, and anomaly detection at the edge or in centralised data centres — critical for smart city, retail analytics, and critical infrastructure monitoring deployments across the GCC.
• Cloud & Managed AI Services: Ideal as the GPU backbone for CSPs (Cloud Service Providers) and MSPs offering GPU-as-a-Service, AI inference APIs, or virtualised workstation services to enterprise tenants in the Middle East and Africa region.

Why Source from Omnixon in Dubai

Omnixon Global is a trusted B2B IT hardware distributor headquartered in Dubai, UAE, serving enterprise clients across the GCC, Levant, and international markets. As a specialist in data centre and high-performance computing hardware, Omnixon maintains regional stock of critical GPU platforms including the NVIDIA L40S, ensuring enterprise procurement teams can fulfil project requirements without extended international lead times.

Our enterprise sales team possesses deep technical knowledge of GPU infrastructure, enabling accurate solution scoping for AI, HPC, and visualisation projects. Omnixon supports procurement processes aligned with UAE government and private sector tendering requirements, and works with approved vendor lists across Saudi Arabia, Qatar, the UAE, and Kuwait. All hardware supplied by Omnixon is sourced through authorised channels, ensuring genuine, brand-new product with full manufacturer compliance documentation — critical for regulated industries including government, banking, and healthcare.

For enterprise clients building AI data centres, upgrading HPC clusters, or scaling virtualised GPU infrastructure across the GCC, Omnixon provides the technical expertise, regional availability, and procurement flexibility that hyperscale-focused global distributors cannot match at the regional level.

Related Products & Ecosystem

To build a complete NVIDIA L40S-based infrastructure solution, consider the following complementary products available from Omnixon Global:

• NVIDIA A100 80GB PCIe / SXM4 — For workloads requiring NVLink-based multi-GPU training or HBM2e memory bandwidth advantages
• NVIDIA H100 NVL / PCIe — Next-generation Hopper architecture GPUs for the most demanding LLM training and inference workloads
• NVIDIA RTX 6000 Ada Generation — Professional visualisation GPU for workstation and rendering deployments
• Dell PowerEdge R760xa / HPE ProLiant DL380 Gen11 — Certified server platforms validated for multi-GPU L40S deployment
• NVIDIA ConnectX-7 InfiniBand / Ethernet NICs — For GPUDirect RDMA-enabled GPU cluster networking
• High-Density Rack PDUs & UPS Systems — Power infrastructure rated for GPU-dense rack deployments up to 30kW+