Name: 01PG422 Lenovo NVIDIA Tesla V100 PCIe 32GB GPU Volta Architecture
Brand: Lenovo
SKU: 01PG422
Price: 2068.85 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The Lenovo NVIDIA Tesla V100 PCIe 32GB GPU delivers powerful computing capabilities tailored for AI development and HPC environments. It slots into PCIe-enabled systems to expand processing capacity, supporting advanced workloads that require both speed and large memory buffers. This GPU fits naturally in settings where data-heavy tasks and accelerated computing are essential.

General Information
Brand	Lenovo
Part Number	01PG422

Technical Information
Chipset	Nvidia
Bus Interface	PCIe 3.0 x16
Supported APIs	OpenCL, 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, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL

Product Description
The Lenovo NVIDIA Tesla V100 PCIe 32GB GPU is built for demanding computational tasks that require massive parallel processing power. It's commonly found in data centers and research institutions where AI training, machine learning, and high-performance computing are daily necessities. This GPU is often used by data scientists, engineers, and researchers who need reliable acceleration for complex calculations and simulations. Its large memory capacity and advanced architecture make it suitable for deep neural network training and large data set analysis. Key Features 5120 CUDA cores enabling extensive parallel computation 32GB of high-speed HBM2 memory for handling large models and datasets PCIe interface ensuring quick communication with host systems Tensor Cores designed specifically to boost AI workloads Built to integrate with Lenovo servers and workstations seamlessly This GPU is typically deployed in high-performance computing clusters, AI research labs, and enterprise data centers. It's a crucial component for accelerating workloads that would otherwise take much longer on standard CPUs. Whether running deep learning frameworks or scientific simulations, the Tesla V100 provides the horsepower needed for efficient and effective computational performance.

Use Cases
The Lenovo NVIDIA Tesla V100 PCIe 32GB GPU is designed for integration into high-performance computing clusters and data center environments where accelerated processing and large memory capacity are critical. It benefits AI researchers, data scientists, and engineers working with complex simulations, machine learning models, and extensive datasets that demand fast parallel computation. How It's Used: Accelerating deep learning training workloads in enterprise AI research laboratories requiring rapid model iteration. Enhancing scientific computing clusters used for climate modeling or molecular dynamics simulations in research institutions. Supporting data analytics pipelines in large-scale financial firms analyzing real-time market data. Enabling virtualization environments in cloud data centers to provision GPU resources for diverse AI workloads. Boosting performance in HPC-enabled engineering firms performing computational fluid dynamics and design verification. This GPU facilitates operational efficiency by providing scalable compute capacity with a high-memory footprint, enabling organizations to manage demanding workloads without compromising on speed or precision. It integrates seamlessly into PCIe-based servers, supporting a broad range of accelerated computing applications across industry and academia.

01PG422 Lenovo NVIDIA Tesla V100 PCIe 32GB GPU Volta Architecture

Product Overview

General Information

Technical Information

Memory

Physical Characteristics

Miscellaneous

Product Description

Use Cases