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| Product Overview |
|---|
The NVIDIA Tesla V100-PCIe 32GB GPU accelerator is designed to bring substantial compute power to data centers and research facilities. It fits well in systems that demand high memory bandwidth and deep learning performance, serving as a robust solution for accelerating AI and HPC workloads without requiring specialized infrastructure beyond standard PCIe slots. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA Tesla V100-32GB |
| Series | Tesla V100 |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The NVIDIA Tesla V100-PCIe 32GB is a powerful GPU accelerator built for demanding AI, machine learning, and high-performance computing tasks. It is commonly found in data centers, research labs, and enterprise environments where intensive parallel processing is required. Engineered to handle complex workloads, this GPU is often used by data scientists, engineers, and developers looking to speed up training and inference of deep learning models. Its large memory capacity and efficient architecture make it a popular choice for applications involving large datasets and high computational needs. Key Features
This GPU accelerator is typically deployed in servers powering AI research, scientific simulations, and data analytics. Its role in accelerating computation helps reduce the time needed for complex calculations and enables more sophisticated modeling and experimentation. |
| Use Cases |
|---|
The NVIDIA Tesla V100-PCIe 32GB HBM2 GPU Accelerator is suited for environments where intensive computational tasks are required. How It's Used:
This GPU accelerator effectively enables organizations to maximize performance for a range of demanding computational applications. |