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699-21001-0205-601 Nvidia A30 Tensor Core 24GB HBM2 Accelerator GPU

SKU:
699-21001-0205-601
Weight: 3.00 lbs
Condition: Refurbished
  • 24GB HBM2 memory for high-speed data processing
  • NVIDIA Ampere architecture with Tensor Cores
  • Designed for AI, machine learning, and data analytics workloads
  • High-performance GPU accelerator for servers and workstations
In stock

$3,031.00

Product Overview

The NVIDIA A30 Tensor Core 24GB GPU accelerates AI and data analytics workloads, fitting seamlessly into server environments needing powerful computation and memory capacity. It delivers a solid balance of performance for both training and inference, making it a reliable choice for organizations working with complex machine learning models and large-scale data processing.

General Information

Brand Nvidia
Part Number 699-21001-0205-601

Technical Information

Chipset Nvidia

Memory

Memory Size 24GB
Interface HBM2

Miscellaneous

Assembly Required Yes
Eco Friendly Yes
Compliance Standards WEEE, RoHS, CE, FCC, UL, TUV

Physical Characteristics

Weight 3.00
Condition Refurbished


Product Description

The NVIDIA A30 Tensor Core GPU is built for demanding AI and data-intensive tasks, offering substantial computational power and memory bandwidth. It’s often found in enterprise data centers and research environments where machine learning model training and inference require fast, reliable acceleration.

This GPU is commonly used in servers that handle large datasets and complex algorithms, making it ideal for professionals in AI development, scientific computing, and analytics. Its design supports efficient parallel processing to speed up workflows.

Key Features

  • Equipped with 24GB of high-speed HBM2 memory to manage large datasets efficiently
  • Tensor Cores optimized for AI operations and deep learning tasks
  • Built on NVIDIA's Ampere architecture to deliver strong performance and energy efficiency
  • Supports multi-instance GPU technology for flexible resource allocation
  • Compatible with diverse AI frameworks and compute applications

The NVIDIA A30 is typically deployed in high-performance computing clusters and AI research labs, where its ability to accelerate neural network training and inference significantly reduces processing time. Its role in these environments is pivotal for advancing AI models and handling data-heavy computations effectively.


Use Cases

The NVIDIA A30 Tensor Core 24GB GPU is primarily utilized in high-performance computing environments such as enterprise data centers and AI research labs. It benefits organizations requiring robust GPU acceleration for complex machine learning models and extensive data analytics, particularly within virtualized or containerized server infrastructures.

How It's Used:

  • Accelerating deep learning training and inference workloads in multi-tenant cloud data centers to optimize resource utilization.
  • Enhancing real-time analytics and AI-driven decision-making in financial services within enterprise IT environments.
  • Supporting scalable AI model deployment and batch processing in large-scale data analytics clusters.
  • Enabling high-throughput computation for scientific simulations and research at academic and government institutions.
  • Facilitating edge computing applications requiring powerful inference capabilities deployed in distributed server racks.

By integrating the NVIDIA A30 GPU, organizations can improve computational throughput and memory efficiency, enabling scalable AI workloads with reduced latency. This results in optimized operational performance across diverse server configurations and workload types.


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699-21001-0205-601 Nvidia A30 Tensor Core 24GB HBM2 Accelerator GPU
699-21001-0205-601 Nvidia A30 Tensor Core 24GB HBM2 Accelerator GPU
$3,031.00