名前:	Nvidia V100-32G
モデル:	Nvidia V100-32G GPU
ブランド:	Nvidia
詳細:	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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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.

価格: US$3,292.00

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オーバービュー

Nvidia V100-32G オーバービュー

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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品質認証

仕様

Nvidia V100-32G 仕様

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