NVIDIA V100-32G Datasheet & Price Guide

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Name:	Nvidia V100-32G
Model:	Nvidia V100-32G GPU
Brand:	Nvidia
Detail:	NVIDIA V100-32G is a powerful GPU optimized for AI, deep learning, and HPC, delivering superior computational performance in large-scale data centers.
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Price:	USD AUD BRL GBP CAD CNY EUR HKD MXN RUB SGD CHF AED US$3,292.00
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Condition:	New Factory Sealed

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Nvidia V100-32G

NVIDIA V100-32G is a powerful GPU optimized for AI, deep learning, and HPC, delivering superior computational performance in large-scale data centers.

Price: US$3,292.00

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Overview

Nvidia V100-32G Overview

The NVIDIA V100-32G is an elite GPU designed for AI, deep learning, and HPC, providing unmatched computational power in extensive data center environments. This product is ideal for engineers and IT specialists who require rapid processing speeds and high performance for large-scale neural networks and advanced simulations.

NVIDIA V100-32G Product Highlights

32 GB HBM2 memory
Turing architecture
5,120 CUDA cores
Tensor Cores inclusion
High bandwidth

Product Features Comparison

Feature	NVIDIA V100-32G	NVIDIA V100-16G	NVIDIA A100	AMD Radeon Pro VII	Tesla P100	Quadro RTX 8000	Quadro GP100
GPU Architecture	Volta	Volta	Ampere	Vega	Pascal	Turing	Pascal
Memory Size	32 GB	16 GB	40 GB	16 GB	16 GB	48 GB	16 GB
CUDA Cores	5,120	5,120	6,912	3,840	3,584	4,608	3,584
TDP	300W	300W	400W	250W	250W	260W	235W
Tensor Cores	Yes	Yes	Yes	No	No	No	Yes

NVIDIA V100-32G Product Application Scenarios

Large-scale deep learning training
High-Performance Computing tasks
AI data analysis

Optional Add-ons

Accessory Model	Description
NVLink	High-speed GPU interconnect
Quadro Sync II	Synchronizes multiple GPUs
Riser Cable	Extended PCIe connection

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Discover unbeatable prices and fast shipping for the NVIDIA V100-32G. Access the detailed NVIDIA V100-32G datasheet and ensure you're getting the best deal with our reliable delivery service. Need assistance? Our free live chat support is here to help. For more information about the product and pricing, contact us via live chat or email us at [email protected].

Quality Certifications

Specification

Nvidia V100-32G Specification

Nvidia V100-32G Specifications
GPU Architecture	Volta
Memory	32 GB HBM2
Memory Bandwidth	900 GB/s
CUDA Cores	5120
Tensor Cores	640
Double-Precision Performance	7 TFLOPs
Single-Precision Performance	14 TFLOPs
Half-Precision Performance	112 TFLOPs
Energy Efficiency	12 nm FFN
Interconnect Bandwidth	300 GB/s with NVLink
Form Factor	PCIe 3.0
TDP	250 W
ECC Support	Yes
Maximum GPU Temperature	85°C
Cooling Solution	Passive
Display Connectors	None
Graphics APIs	CUDA, OpenCL, DirectCompute
Software Suite	CUDA Toolkit
Secure Boot	Yes
Multi-GPU Scalability	NVIDIA NVLink

Quality Certifications

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Q&A

Questions & Answers

Question: Are there alternative products to Nvidia V100-32G in the market?

Answer: While there are alternative GPUs available, Nvidia V100-32G stands out with its exceptional computational performance and memory capacity, making it a top choice for AI, deep learning, and HPC tasks.

Question: What are the common troubleshooting methods for Nvidia V100-32G?

Answer: In case of issues, ensure the GPU is properly connected, drivers are up to date, and check compatibility with software applications to troubleshoot and resolve any operational problems efficiently.

Question: What accessories are available for Nvidia V100-32G?

Answer: Accessories such as compatible server racks, cooling systems, and adapters are available to enhance the installation, performance, and efficiency of Nvidia V100-32G in data center environments.

Question: How does Nvidia V100-32G compare with other similar GPUs in terms of performance and functionalities?

Answer: Nvidia V100-32G surpasses other GPUs with its superior computational power, memory capacity, and optimization for AI, deep learning, and HPC workloads, making it a preferred choice for demanding computing tasks.

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Question: What are the key characteristics of Nvidia V100-32G?

Answer: Nvidia V100-32G is known for its high-performance GPU, offering 32GB of memory capacity and optimized for demanding computing tasks in AI, deep learning, and HPC environments.

Question: What are the application scenarios for Nvidia V100-32G?

Answer: Nvidia V100-32G excels in AI, deep learning, and HPC applications, making it ideal for data centers, research institutions, and enterprises requiring powerful computational capabilities.

Question: How to effectively use Nvidia V100-32G in a data center environment?

Answer: To maximize the use of Nvidia V100-32G, integrate it into data center servers to accelerate AI and deep learning workloads, enhancing overall computational performance and efficiency.

Question: What is the installation process like for Nvidia V100-32G?

Answer: Installing Nvidia V100-32G involves securely mounting the GPU onto compatible server systems, ensuring proper connections and configurations for seamless integration and operation.

Question: Does Nvidia V100-32G require frequent upgrades for optimal performance?

Answer: Nvidia V100-32G offers high-performance capabilities suitable for long-term use without frequent upgrades, providing reliable computational power for AI, deep learning, and HPC tasks.