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900-2G133-0380-030 HP NVIDIA L40S 48GB GPU Deep Learning Graphics Card

SKU:
900-2G133-0380-030
Weight: 3.00 lbs
Condition: Refurbished
  • 48GB NVIDIA L40S GPU designed for deep learning and AI workloads
  • High memory bandwidth ensuring efficient data processing
  • Optimized for HPE systems offering seamless integration
  • Supports complex graphics rendering and large-scale model training
In stock

$9,499.00

Product Overview

The HPE NVIDIA L40S 48GB GPU provides powerful graphical and computational capabilities tailored for deep learning and AI workloads. It fits seamlessly into HPE systems, offering reliable performance in environments that demand high memory and processing power, such as research institutions and enterprise data centers.

General Information

Brand HP
Part Number 900-2G133-0380-030

Technical Information

Chipset Nvidia
Bus Interface PCI Express 5.0 x16
Supported APIs DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute
Output Interface None (data center GPU, no user display outputs)
Suggested PSU 750W recommended system PSU
Power Connectors 1 x 12VHPWR (16-pin)

Memory

Memory Size 48GB
Interface GDDR6
Memory Bus 384-bit

Physical Characteristics

Slot Width Dual-slot
Weight 3.00
Condition Refurbished

Miscellaneous

Assembly Required Yes
Eco Friendly Yes
Compliance Standards WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL


Product Description

This HPE NVIDIA L40S 48GB GPU is built for demanding deep learning and AI applications where large memory and robust performance are essential. Commonly used in data centers and research labs, it accelerates complex computations and graphics-intensive tasks.

Often found in AI training environments, this GPU benefits data scientists, machine learning engineers, and researchers who need reliable, high-capacity hardware to speed up their workflows.

Key Features

  • Massive 48GB memory supports large neural networks and datasets
  • Designed for HPE servers ensuring smooth hardware compatibility
  • Delivers accelerated computation suited for AI and deep learning tasks
  • Engineered to handle high-resolution graphics and visualization
  • Enhanced cooling solutions maintain performance during extended use

The GPU is typically deployed in AI research clusters and enterprise-grade servers where performance and stability are critical. It helps reduce training times, enabling faster experimentation and iteration.

In practice, this graphics card supports a range of intensive workloads from autonomous driving simulations to medical imaging analysis, making it a versatile choice for professionals in advanced computing fields.


Use Cases

The HPE NVIDIA L40S 48GB GPU is commonly deployed in enterprise data centers and research facilities where large-scale AI and deep learning model training are critical. It is particularly suited for organizations that require extensive computational resources and memory capacity to manage complex datasets and graphics rendering tasks efficiently.

How It's Used:

  • Accelerating neural network training in AI research labs within academic or corporate environments.
  • Supporting real-time inference workloads in financial services data centers that demand low latency and high throughput.
  • Enabling high-resolution visualization and simulation in engineering firms with rack-mounted HPE systems.
  • Facilitating large-scale language model training for natural language processing workloads in enterprise IT infrastructures.
  • Enhancing virtual desktop infrastructure (VDI) performance for design studios requiring intensive graphical processing.

By integrating seamlessly with HPE platforms, this GPU helps maintain scalability and operational efficiency in demanding computational environments. Its high memory bandwidth and processing power ensure that complex AI workflows and graphics-intensive applications run smoothly without bottlenecks.


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900-2G133-0380-030 HP NVIDIA L40S 48GB GPU Deep Learning Graphics Card
900-2G133-0380-030 HP NVIDIA L40S 48GB GPU Deep Learning Graphics Card
$9,499.00