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W3C1G Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU Graphics Card

SKU:

W3C1G

Weight: 3.00 lbs
Condition: Refurbished
  • Powered by NVIDIA A30 Tensor Core GPU with 24GB HBM2 memory
  • High-bandwidth memory ideal for AI and data analytics workloads
  • Designed for accelerated computing in servers and workstations
  • Supports fast parallel processing and complex computations
In stock

$2,988.00
Product Overview

The Dell NVIDIA A30 Tensor Core 24GB GPU card provides specialized acceleration for AI, data analytics, and HPC applications within server environments. It fits into high-performance Dell systems to enhance processing speed and efficiency for demanding computational tasks.

General Information
Brand Dell
Part Number W3C1G
Technical Information
Chipset Nvidia
Bus Interface PCIe 4.0 x16
Supported APIs DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 6.7, DirectCompute
Output Interface None
Memory
Memory Size 24GB
Interface HBM2
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

The Dell NVIDIA A30 Tensor Core GPU is built to accelerate demanding workloads such as AI training, machine learning, and high-performance computing. It is often found in data centers and enterprise servers where processing speed and efficiency are critical.

Engineered for professionals and organizations working with large datasets and complex algorithms, this graphics card helps reduce compute times and improve throughput in intensive applications.

Key Features

  • Equipped with 24GB high-bandwidth memory for handling large models and datasets
  • Tensor Cores optimized for AI and deep learning tasks
  • Supports multi-instance GPU for flexible resource allocation
  • Compatible with Dell PowerEdge servers and other enterprise-grade systems
  • Efficient thermal design to maintain performance under heavy loads

This GPU is typically deployed in AI research labs, cloud computing infrastructures, and enterprise analytics platforms. Its role is to accelerate complex computations that traditional CPUs cannot handle efficiently.

Users benefit from faster model training times and improved scalability in their computing environments.


Use Cases

The Dell NVIDIA A30 Tensor Core GPU is primarily deployed in enterprise data centers and high-performance computing clusters where accelerated AI and data analytics workloads are critical. It benefits IT professionals and data scientists requiring robust computational power for server and workstation environments.

How It's Used:

  • Accelerating machine learning model training and inference in AI research labs and enterprise AI platforms.
  • Enhancing real-time data analytics processing within financial services and trading systems.
  • Supporting virtualization environments to enable GPU passthrough for multiple users in cloud and hybrid cloud deployments.
  • Boosting computational fluid dynamics and complex simulations in engineering and scientific research facilities.
  • Facilitating large-scale image and video processing workflows in media and entertainment production studios.

By integrating this GPU accelerator, organizations can improve throughput and reduce latency in demanding workloads, allowing scalable performance in dense server rack deployments and advanced edge computing scenarios.


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W3C1G Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU Graphics Card
W3C1G Dell NVIDIA A30 Tensor Core 24GB HBM2 Accelerator GPU Graphics Card
$2,988.00