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  • Nvidia A100-80G
  • Nvidia A100-80G

Nvidia A100-80G

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Overview

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

Discover unbeatable prices and fast shipping for the NVIDIA A100-80G. Access the detailed A100-80G 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 Contact@huatenmax.com.

Specification

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
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