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    NVIDIA L40S Graphic Card - 48 GB GDDR6 - PCIe 4.0 x16 - 2x Slot - Ada - 900-2G133-0080-000

    • FP32: 91.6 teraFLOPS
    • TF32 Tensor Core: 366 teraFLOPS*
    • FP16: 733 teraFLOPS*
    • FP8: 1,466 teraFLOPS*
    • RT Core Performance: 212 teraFLOPS
    • Max Power Consumption: 350W
    This item is covered under the Manufacturer Only Return Policy.
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    Learn more about the NVIDIA L40S

    Best Seller Ranking #4 in AI Accelerator Cards
    Model
    Brand NVIDIA
    Model L40S
    Part Number 900-2G133-0080-000
    Interface PCI Express 4.0 x16
    Chipset
    Chipset Manufacturer NVIDIA
    GPU L40S
    CUDA Cores 18176
    Memory
    Memory Size 48GB
    Memory Clock 864 GB/s
    Memory Type GDDR6 w/ECC
    3D API
    DirectX DirectX 12.07
    Ports
    DisplayPort 4
    Form Factor & Dimensions
    Dimensions (L x H) Height: 4.4"
    Length:10.5"
    Slot Width Dual
    Additional Information
    First Listed on Newegg August 06, 2024

    Warranty & Returns

    Warranty, Returns, And Additional Information

    Warranty

    • Limited Warranty period (parts): 3 years
    • Limited Warranty period (labor): 3 years
    • Read full details

    Return Policies

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    The NVIDIA L40S is a 48GB GDDR6 ECC, dual-slot PCIe 4.0 x16 accelerator for data-center AI inference, AI development, and graphics workloads. Its 18,176 CUDA cores and high Tensor Core throughput suit teams running compute-intensive workloads on compatible systems.

    Recommended For

    • AI teams serving LLMs or image-generation models on a data-center server, when 48 GB of GPU memory fits the model and workload.
    • Teams running mixed AI and visual-computing workloads on shared infrastructure, such as inference alongside 3D rendering, graphics, or video processing.
    • Data-center and cloud operators providing virtual workstations or GPU-backed applications to multiple users, using supported NVIDIA vGPU software.
    • Model-development teams fine-tuning or testing workloads that fit within 48 GB per GPU and can use the L40S’s Tensor Core acceleration in a server deployment.

    Real-World Use Scenarios

    • A team hosts an open-weight language model for an internal chatbot or API; the L40S can serve inference workloads in a data-center server, with actual response speed and user capacity depending on the model, serving software, and request load.
    • An AI developer fine-tunes a smaller language model for a company’s domain or task; NVIDIA provides an L40S-compatible fine-tuning workflow, while the model size and training setup determine how much fits and how long it takes.
    • A 3D team renders scenes or serves interactive visualization from a compatible server; the L40S supports GPU-accelerated rendering and virtual workstation workflows, with scene size and application support affecting the experience.
    • A media or streaming team processes video for distribution or archiving; the L40S’s dedicated video engines can accelerate supported encoding and decoding workflows, reducing reliance on CPU processing when the software pipeline uses them.
    • A developer runs image-generation or other generative-AI inference on a server instead of sending each job to a hosted service; the L40S can accelerate supported models, but output time varies with the model, resolution, and generation settings.
    • An organization provisions graphics-rich virtual desktops for designers or engineers; with compatible NVIDIA virtualization software and server hardware, users can work with professional 3D applications remotely rather than relying on local workstation GPUs.

    Spec Summary

    AttributeValue
    Best ForAI acceleration and graphics workloads, with an L40S GPU and 48 GB of ECC GDDR6 memory
    GPU And ComputeNVIDIA L40S with 18,176 CUDA cores
    Memory48 GB GDDR6 with ECC and 864 GB/s memory bandwidth
    Interface And ExpansionPCI Express 4.0 x16 interface in a dual-slot design
    Display Support4 DisplayPort outputs; supports DirectX 12.07
    Physical Dimensions10.5 in. long and 4.4 in. high
    Model IdentifiersNVIDIA L40S; part number 900-2G133-0080-000