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HPE NVIDIA Tesla V100 PCIe 32GB Computational Accelerator

SKU:

Tesla V100-PCIE-32GB

Weight: 3.00 lbs
Condition: Refurbished
  • 32GB HBM2 memory for large-scale AI and data workloads
  • Volta architecture GPU with 5120 CUDA cores and 640 Tensor Cores
  • PCIe interface for versatile server compatibility
  • Optimized for high-performance computing and deep learning
In stock

$1,608.85
Product Overview

The HPE NVIDIA Tesla V100 PCIe 32GB accelerator delivers robust GPU computing power aimed at scientific and AI workloads. It fits into PCIe slots of server machines, providing a balance between high memory capacity and broad system compatibility without needing specialized hardware setups.

General Information
Brand Nvidia
Part Number Tesla V100-PCIE-32GB
Series NVIDIA Tesla V100 PCIe 32GB (HPE variant)
Miscellaneous
Eco Friendly Yes
Compliance Standards WEEE, RoHS, CE, FCC, UL, TUV
Physical Characteristics
Weight 3.00
Condition Refurbished


Product Description

The HPE NVIDIA Tesla V100 PCIe 32GB is built for heavy computational tasks like AI training, deep learning, and scientific simulations. It commonly sits inside data centers and research labs where processing vast datasets and accelerating algorithms is essential.

Engineered for machine learning engineers, data scientists, and HPC specialists, this accelerator handles demanding parallel workloads efficiently. You’ll often find it deployed in servers that require powerful GPUs without the constraints of specialized interconnects.

Key Features

  • Equipped with Volta architecture delivering high throughput for mixed-precision tasks
  • Large 32GB memory supporting complex models and datasets
  • PCIe form factor ensuring broad compatibility with existing systems
  • Efficient energy use compared to previous generation GPUs
  • Supports CUDA and popular AI frameworks for flexible development

This accelerator is typically installed in enterprise servers and research clusters where computational efficiency directly impacts productivity. It enables faster model training and simulation runs, helping reduce project timelines without changing existing infrastructure much.


Use Cases

This computational accelerator is suited for applications requiring substantial processing power and memory capacity.

How It's Used:

  • Training and inference of deep learning models in AI research
  • Scientific simulations including physics, chemistry, and climate modeling
  • Big data analytics and complex data processing tasks
  • Accelerating workloads in high-performance computing clusters
  • Rendering and video processing in professional environments

The Tesla V100 PCIe 32GB enables organizations to enhance computational efficiency and tackle complex problems with reduced latency.


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HPE NVIDIA Tesla V100 PCIe 32GB Computational Accelerator
HPE NVIDIA Tesla V100 PCIe 32GB Computational Accelerator
$1,608.85