名前:	Nvidia A100-80G
モデル:	Nvidia A100-80G GPU
ブランド:	Nvidia
詳細:	NVIDIA A100-80G is a powerful GPU designed for AI, data analytics, and scientific computing in modern data centers.

価格:	USD AUD BRL GBP CAD CNY EUR HKD MXN RUB SGD CHF AED US$27,077.00
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条件:	New

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Nvidia A100-80G

NVIDIA A100-80G is a powerful GPU designed for AI, data analytics, and scientific computing in modern data centers.

価格: US$27,077.00

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オーバービュー

Nvidia A100-80G オーバービュー

NVIDIA A100-80G, a top-tier GPU, excels in AI, data analytics, and scientific computing. It empowers data centers with robust performance. Ideal for engineers and researchers, this GPU significantly enhances processing power and efficiency in various computational tasks.

Nvidia A100-80G Product Highlights

High AI performance
Advanced data analytics
Compatibility with modern data centers
Enhanced scientific computing
Efficient power utilization

Product Features Comparison

Feature	Nvidia A100-80G	Nvidia V100	AMD Instinct MI100	Tesla T4	Nvidia A40	Google TPUs	Nvidia RTX 8000
Memory Capacity	80GB HBM2e	32GB HBM2	32GB HBM2	16GB GDDR6	48GB GDDR6	N/A	48GB GDDR6
Tensor Cores	640	640	768	320	336	128	4608 CUDA
FP64 Performance	9.7 TFLOPS	7.8 TFLOPS	11.5 TFLOPS	0.13 TFLOPS	3.8 TFLOPS	N/A	0.6 TFLOPS
Peak Performance	312 TFLOPS	125 TFLOPS	184.6 TFLOPS	8.1 TFLOPS	40 TFLOPS	100+ PFLOPS	16.3 TFLOPS
Target Use	AI, Analytics	Deep Learning	AI, HPC	Inference	Rendering	AI, ML	Graphics

Nvidia A100-80G Product Application Scenarios

Advanced machine learning models
Complex scientific simulations
Real-time big data processing

Optional Add-ons

Model	Description
ConnectX-6 VPI	Advanced network adapter for increased connectivity
NVSwitch	Network switch for multi-GPU scalability
NVIDIA NGC	Comprehensive GPU cloud software suite

Get More Information

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品質認証

仕様

Nvidia A100-80G 仕様

Nvidia A100-80G Specifications
CUDA Cores	6912
Memory Size	80 GB
Memory Type	HBM2e
Memory Bandwidth	2039 GB/s
TFLOPS (FP32)	19.5
TFLOPS (FP64)	9.7
Datatype Support	FP32, FP64, INT8, INT4, INT1
NVLink Bandwidth	600 GB/s
Form Factor	FHFL (Full-height, full-length)
Interface	PCIe 4.0 x16
Power Consumption	400W
Manufacturing Process	7nm
Power Connectors	8-pin
Max GPU Temperature	85°C
Cooling Solution	Passive
Slot Width	Double Slot
Tensor Cores	432
GPU Architecture	Ampere
Deep Learning Acceleration	Yes
Driver Support	Windows, Linux