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699-2G133-0242-L00 HPE NVIDIA L40S 48GB GPU Deep Learning Graphics Card

SKU:
699-2G133-0242-L00
Weight: 3.00 lbs
Condition: Refurbished
  • 48GB GDDR6 memory tailored for high-demand AI workloads
  • NVIDIA L40S GPU architecture optimized for deep learning tasks
  • Designed to accelerate graphics-intensive and computational applications
  • Dual-slot form factor compatible with standard server configurations
In stock

$8,316.00

Product Overview

The HPE NVIDIA L40S 48GB GPU serves as a powerful graphics and AI accelerator designed primarily for deep learning environments. It fits into server or workstation setups that require substantial memory and processing strength to support demanding AI, machine learning, and high-end graphics tasks.

General Information

Brand HP
Part Number 699-2G133-0242-L00

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

Memory

Memory Size 48GB
Interface GDDR6

Physical Characteristics

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

The HPE NVIDIA L40S 48GB GPU is built for handling complex deep learning and AI processing tasks. It's commonly integrated into workstations and servers that require heavy computational power to train neural networks or run large-scale simulations.

Often found in data centers, research labs, and companies focusing on machine learning development, this GPU delivers the necessary throughput for demanding graphics and AI workloads. Engineers, data scientists, and AI specialists benefit from its robust performance and reliability.

Key Features

  • Large 48GB GDDR6 memory supports extensive model training and large datasets
  • Advanced NVIDIA L40S architecture enhances AI inferencing and graphics rendering
  • Efficient cooling system maintains performance under heavy loads
  • PCIe 4.0 interface ensures fast data communication with host systems
  • Compatibility with multiple AI and graphics frameworks simplifies integration

This GPU is typically deployed in enterprise servers and AI research setups where processing capacity can be a bottleneck. Its large memory and optimized architecture allow users to manage heavier workloads and accelerate project timelines.

By integrating this card, organizations can achieve smoother model training cycles and faster data processing without frequent hardware upgrades.


Use Cases

The HPE NVIDIA L40S 48GB GPU is predominantly utilized in enterprise AI research labs, data centers, and cloud service provider environments where high-throughput deep learning and complex computational graphics workloads require substantial GPU memory and processing capabilities. IT architects and data scientists leverage this graphics card to enhance model training speeds and graphics rendering efficiency in large-scale server deployments.

How It's Used:

  • Accelerating neural network training and inference in AI research labs operating within hybrid cloud infrastructures.
  • Supporting large-scale visualization and simulation tasks in engineering and scientific computing clusters.
  • Enabling high-performance rendering for virtual workstations in enterprise remote desktop environments.
  • Enhancing deep learning workloads in data center racks optimized for machine learning pipelines.
  • Facilitating GPU-accelerated analytics and image processing in media production and post-production environments.

This GPU integrates into existing server architectures to deliver scalable performance enhancements for memory-intensive AI and graphics applications. Its compatibility with standard form factors ensures streamlined deployment across diverse IT infrastructures, promoting operational consistency and improved workload throughput.


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699-2G133-0242-L00 HPE NVIDIA L40S 48GB GPU Deep Learning Graphics Card
699-2G133-0242-L00 HPE NVIDIA L40S 48GB GPU Deep Learning Graphics Card
$8,316.00