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NVIDIAA10G Nvidia 24GB GDDR6 Tensor GPU Accelerator PCIe Gen4

SKU:
NVIDIAA10G
Weight: 3.00 lbs
Condition: Refurbished
  • 24GB GDDR6 memory for high-capacity data processing
  • Tensor Core technology accelerates AI and deep learning tasks
  • Optimized for data center GPU workloads
  • Supports PCIe Gen4 for faster data transfer rates
In stock

$1,608.85

Product Overview

The NVIDIA A10G 24GB GDDR6 Tensor GPU Accelerator offers a balance of memory capacity and tensor performance, making it suitable for AI workloads and virtualization in data centers. It's designed to improve efficiency in machine learning tasks and support a variety of compute-heavy applications without compromising on speed or scalability.

General Information

Brand Nvidia
Part Number NVIDIAA10G
Series NVIDIA A10G

Miscellaneous

Compliance Standards RoHS, CE

Physical Characteristics

Weight 3.00
Condition Refurbished


Product Description

The NVIDIA A10G is a powerful GPU accelerator designed to handle demanding AI, machine learning, and graphics workloads. It’s commonly used in data centers and enterprise environments where intensive computation is required.

Built for professionals working with AI training, inference, and high-performance computing, this GPU helps speed up complex tasks by leveraging tensor cores and large memory capacity.

Key Features

  • Equipped with 24GB of GDDR6 memory for managing large datasets efficiently
  • Tensor Cores accelerate AI calculations and neural network training
  • Supports PCIe Gen4 interface for enhanced connectivity and throughput
  • Designed for multi-instance GPU usage, allowing resource sharing
  • Optimized for virtualization and cloud deployments

You'll often find the NVIDIA A10G in AI research labs, cloud data centers, and enterprises running mixed workloads that require both graphics and compute power. Its capability to handle multiple tasks makes it a solid choice for environments focused on AI development and deployment.


Use Cases

The NVIDIA A10G 24GB GDDR6 Tensor GPU Accelerator is primarily utilized in data center environments where AI-driven workloads and virtualization are prevalent. It serves organizations requiring efficient processing of machine learning models, real-time analytics, and high-throughput compute tasks within scalable infrastructure setups.

How It's Used:

  • Accelerating deep learning training and inference in enterprise data centers handling large-scale AI projects.
  • Supporting virtual desktop infrastructure (VDI) deployments in cloud and on-premises environments for enhanced graphical and compute performance.
  • Optimizing real-time video analytics workloads in security and surveillance systems within smart city infrastructure.
  • Enabling high-performance computing (HPC) applications in research institutions requiring tensor operations and large memory capacity.
  • Facilitating AI inference at the edge in connected manufacturing facilities to streamline automation and predictive maintenance.

This GPU accelerator enhances operational efficiency by delivering robust tensor performance combined with ample memory capacity, supporting scalable deployment in complex data center architectures. Its compatibility with virtualization and PCIe Gen4 ensures adaptability to diverse workloads demanding consistent throughput and low latency.


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NVIDIAA10G Nvidia 24GB GDDR6 Tensor GPU Accelerator PCIe Gen4
NVIDIAA10G Nvidia 24GB GDDR6 Tensor GPU Accelerator PCIe Gen4
$1,608.85