Description
Manufacturer:NVIDIA
Model:A800
GPU Architecture:Ampere
Memory Capacity:40 GB HBM2
Memory Bandwidth:900 GB/s
CUDA Cores:6912
TFLOPS Performance:236
Power Consumption:250W
Form Factor:PCIe 4.0 x16
Operating Temperature:0°C to 85°C
The NVIDIA A100 Tensor Core GPU is built for modern data centers, offering unprecedented acceleration for AI, data analytics, and scientific computing. With 40GB of ultra-fast HBM2 memory, it supports large datasets and complex models without compromising performance.
Designed with Tensor Cores optimized for matrix operations, the A100 excels in deep learning tasks, providing up to 20x higher throughput compared to previous generations.
This GPU is equipped with advanced technologies like NVLink, allowing multi-GPU configurations to achieve higher bandwidth and lower latency, crucial for distributed training and inference.
The A100 supports virtualization technologies, enabling multiple users to share a single GPU for diverse workloads, making it ideal for cloud service providers and data centers.
Installation is straightforward, with compatibility across various systems. Its robust cooling system ensures reliable operation even under heavy loads.
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