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Dell NVIDIA Tesla V100S 32GB HBM2 PCIe Passive GPU

SKU:

Tesla V100S-PCIE-32GB

Weight: 3.00 lbs
Condition: Refurbished
  • 32GB HBM2 memory for high-bandwidth data processing
  • Powered by NVIDIA Volta architecture for AI and HPC workloads
  • PCIe interface with passive cooling for efficient integration
  • Designed for demanding compute tasks in data centers
In stock

$2,988.85
Product Overview

The Tesla V100S-PCIE-32GB Dell NVIDIA Tesla V100S 32GB HBM2 PCIe Passive GPU delivers high-performance computing for data-intensive tasks. It fits into server environments that require powerful GPU acceleration with efficient passive cooling. This GPU is designed to handle AI training, scientific simulations, and other heavy workloads, offering a balance between speed, memory capacity, and thermal management.

General Information
Brand Nvidia
Part Number Tesla V100S-PCIE-32GB
Technical Information
Chipset Nvidia
GPU Clock 1530 MHz
Bus Interface PCI Express 3.0 x16
Supported APIs DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, DirectCompute
Memory
Memory Size 32GB
Interface HBM2
Memory Bus 4096-bit
Physical Characteristics
Slot Width 2-slot
Weight 3.00
Condition Refurbished
Miscellaneous
Assembly Required Yes
Eco Friendly Yes
Compliance Standards WEEE, RoHS, CE, FCC, UL, TUV


Product Description

The Dell NVIDIA Tesla V100S 32GB GPU is built for accelerated computing tasks, delivering powerful performance for artificial intelligence training, scientific simulations, and high-performance computing. Often found in data centers and server environments, it handles large-scale parallel processing with ease.

It is commonly used by researchers, data scientists, and engineers who need reliable GPU acceleration for machine learning models and complex computations. The passive cooling design allows it to be integrated into systems with efficient airflow, making it suitable for dense server racks.

Key Features

  • High memory capacity with 32GB HBM2 for large datasets
  • Volta GPU architecture optimized for AI and HPC tasks
  • Passive cooling supports quieter, rack-mounted deployments
  • PCIe interface ensures compatibility with a wide range of servers
  • Enhanced tensor cores accelerate deep learning performance

This GPU is typically deployed in enterprise data centers and research labs where processing power and energy efficiency are critical. It helps reduce training times for complex AI models and improves throughput for compute-heavy applications.

Its role in accelerating workloads makes it a valuable component in modern computing environments focused on AI development, scientific research, and big data analysis.


Use Cases

The Dell NVIDIA Tesla V100S 32GB GPU is primarily suited for data centers and enterprise environments where high-performance computing is essential. It benefits organizations running complex AI models, large-scale simulations, or data analytics that demand substantial GPU memory and efficient thermal management.

How It's Used:

  • Accelerating deep learning model training in research labs and AI development centers.
  • Supporting large-scale scientific simulations within HPC clusters in academic and government institutions.
  • Enhancing real-time data processing and analytics workloads in financial services data centers.
  • Deploying in virtualized server environments to provide GPU resources for multiple users in enterprise IT infrastructures.
  • Facilitating computationally intensive tasks like molecular modeling or seismic analysis in energy sector computing farms.

By integrating the Tesla V100S GPU into these environments, organizations can achieve improved computational throughput and scalability. Its passive cooling design also allows for optimized rack deployments without increasing cooling overhead, supporting operational efficiency in demanding data center conditions.


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Dell NVIDIA Tesla V100S 32GB HBM2 PCIe Passive GPU
Dell NVIDIA Tesla V100S 32GB HBM2 PCIe Passive GPU
$2,988.85