NVIDIA A100 80GB PCIe custom graphics card, high-performance AI training inference acceleration card
Category:
Digital computer/Computer accessories/Graphics card
Model:
A100 80GB PCIe
Brand:
NVIDIA
architecture:
NVIDIA Ampere
Video Memory Type:
HBM2e
Memory capacity:
80GB
Memory Bandwidth:
2TB/s
interface type:
PCIe 4.0 x16
cooling method:
passive cooling
Maximum Power Consumption:
300W
Appearance specifications:
Double slot full height and total length
Applicable scenarios:
AI Training/Reasoning/HPC
package contents:
Graphics card body+anti-static packaging
Retail Price
9,000,000.00USD
重量
kg
- Product Description
-
architecture NVIDIA Ampere
Video Memory Type HBM2e
Memory capacity 80GB
Memory Bandwidth 2TB/s
interface type PCIe 4.0 x16
cooling method passive cooling
Maximum Power Consumption 300W
Appearance specifications Double slot full height and total length
Applicable scenarios AI Training/Reasoning/HPC
package contents Graphics card body+anti-static packaging
Description :
This product is an A100 series data center GPU accelerator card based on NVIDIA Ampere architecture, featuring passive heat dissipation design and compatible with standard server PCIe slots. As a professional level hardware for artificial intelligence, high-performance computing (HPC), and data analysis fields, its core advantage lies in its third-generation Tensor Core and high bandwidth HBM2e video memory, which can significantly improve the efficiency of deep learning model training, large-scale matrix operations, and scientific simulation tasks.
The product appearance presents industrial grade metal packaging features, with a blue anodized aluminum shell that has good electromagnetic shielding and structural strength. The side is equipped with standardized installation ears for easy fixation in rack mounted servers. The PCIe gold finger interface and auxiliary power/signal connectors can be seen at the bottom, which comply with enterprise level device interconnection specifications. The packaging adopts shockproof EPE pearl cotton lining and hard cardboard box to ensure that precision components are not damaged by impact during transportation.
Typical application scenarios include: pre training of Large Language Models (LLMs), computer vision image recognition, Natural Language Processing (NLP), financial risk control modeling, gene sequence analysis, climate simulation, and other computationally intensive tasks. The target user group includes cloud computing service providers, research institutes, autonomous driving development teams, medical image analysis institutions, and enterprise IT departments. This card supports NVLink multi card interconnect technology and can be extended to multiple GPU parallel clusters, meeting the deployment requirements of kilocard level supercomputing nodes. Please note that this is a non consumer gaming graphics card without a video output interface. It needs to be used in conjunction with professional drivers and the CUDA ecosystem software stack. It is recommended that technicians with experience in data center operations install and configure it.
AfterSalesService :
Key words:
